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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Combination of baseline metabolic tumour volume and early response on PET/CT improves progression-free survival prediction in DLBCL
N. George Mikhaeel, Daniel Smith, Joel Dunn, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2016) Vol. 43, Iss. 7, pp. 1209-1219
Open Access | Times Cited: 244

Showing 1-25 of 244 citing articles:

Baseline Metabolic Tumor Volume Predicts Outcome in High–Tumor-Burden Follicular Lymphoma: A Pooled Analysis of Three Multicenter Studies
Michel Meignan, Anne‐Ségolène Cottereau, Annibale Versari, et al.
Journal of Clinical Oncology (2016) Vol. 34, Iss. 30, pp. 3618-3626
Closed Access | Times Cited: 278
EANM/EARL harmonization strategies in PET quantification: from daily practice to multicentre oncological studies
Nicolas Aide, Charline Lasnon, Patrick Veit‐Haibach, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2017) Vol. 44, Iss. S1, pp. 17-31
Open Access | Times Cited: 270
Prognostic value of baseline metabolic tumor volume in early-stage Hodgkin lymphoma in the standard arm of the H10 trial
Anne‐Ségolène Cottereau, Annibale Versari, Annika Loft, et al.
Blood (2018) Vol. 131, Iss. 13, pp. 1456-1463
Open Access | Times Cited: 162
High total metabolic tumor volume at baseline predicts survival independent of response to therapy
Laëtitia Vercellino, Anne‐Ségolène Cottereau, Olivier Casasnovas, et al.
Blood (2020) Vol. 135, Iss. 16, pp. 1396-1405
Open Access | Times Cited: 148
Proposed New Dynamic Prognostic Index for Diffuse Large B-Cell Lymphoma: International Metabolic Prognostic Index
N. George Mikhaeel, Martijn W. Heymans, Jakoba J. Eertink, et al.
Journal of Clinical Oncology (2022) Vol. 40, Iss. 21, pp. 2352-2360
Open Access | Times Cited: 88
TMTV-Net: fully automated total metabolic tumor volume segmentation in lymphoma PET/CT images — a multi-center generalizability analysis
Fereshteh Yousefirizi, Ivan S. Klyuzhin, Joo Hyun O, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2024) Vol. 51, Iss. 7, pp. 1937-1954
Closed Access | Times Cited: 21
Initial Experience with Volumetric 68Ga-PSMA I&T PET/CT for Assessment of Whole-Body Tumor Burden as a Quantitative Imaging Biomarker in Patients with Prostate Cancer
Sebastian Schmuck, Christoph A. von Klot, Christoph Henkenberens, et al.
Journal of Nuclear Medicine (2017) Vol. 58, Iss. 12, pp. 1962-1968
Open Access | Times Cited: 139
18F-FDG PET Dissemination Features in Diffuse Large B-Cell Lymphoma Are Predictive of Outcome
Anne‐Ségolène Cottereau, Christophe Nioche, Anne-Sophie Dirand, et al.
Journal of Nuclear Medicine (2019) Vol. 61, Iss. 1, pp. 40-45
Open Access | Times Cited: 132
Time to Prepare for Risk Adaptation in Lymphoma by Standardizing Measurement of Metabolic Tumor Burden
Sally F. Barrington, Michel Meignan
Journal of Nuclear Medicine (2019) Vol. 60, Iss. 8, pp. 1096-1102
Open Access | Times Cited: 129
Defining the optimal method for measuring baseline metabolic tumour volume in diffuse large B cell lymphoma
Hajira Ilyas, N. George Mikhaeel, Joel Dunn, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2018) Vol. 45, Iss. 7, pp. 1142-1154
Open Access | Times Cited: 126
Risk stratification in diffuse large B-cell lymphoma using lesion dissemination and metabolic tumor burden calculated from baseline PET/CT†
Anne‐Ségolène Cottereau, Michel Meignan, Christophe Nioche, et al.
Annals of Oncology (2020) Vol. 32, Iss. 3, pp. 404-411
Open Access | Times Cited: 120
FDG‐PET/CT in the management of lymphomas: current status and future directions
Tarec Christoffer El‐Galaly, Diego Villa, Lars Christian Gormsen, et al.
Journal of Internal Medicine (2018) Vol. 284, Iss. 4, pp. 358-376
Open Access | Times Cited: 112
68Ga-PSMA-11 PET/CT-derived metabolic parameters for determination of whole-body tumor burden and treatment response in prostate cancer
Christian Schmidkonz, M. Cordes, Daniela Schmidt, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2018) Vol. 45, Iss. 11, pp. 1862-1872
Closed Access | Times Cited: 102
qPSMA: Semiautomatic Software for Whole-Body Tumor Burden Assessment in Prostate Cancer Using 68Ga-PSMA11 PET/CT
Andrei Gafita, Marie Bieth, Martin Krönke, et al.
Journal of Nuclear Medicine (2019) Vol. 60, Iss. 9, pp. 1277-1283
Open Access | Times Cited: 100
Prognostic value of baseline metabolic tumor volume and total lesion glycolysis in patients with lymphoma: A meta-analysis
Baoping Guo, Xiaohong Tan, Qing Ke, et al.
PLoS ONE (2019) Vol. 14, Iss. 1, pp. e0210224-e0210224
Open Access | Times Cited: 97
Metabolic Tumor Volume Metrics in Lymphoma
Lale Kostakoğlu, Stéphane Chauvie
Seminars in Nuclear Medicine (2017) Vol. 48, Iss. 1, pp. 50-66
Closed Access | Times Cited: 94
18F-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma
Jakoba J. Eertink, Tim van de Brug, Sanne E. Wiegers, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 49, Iss. 3, pp. 932-942
Open Access | Times Cited: 93
Dynamic risk assessment based on positron emission tomography scanning in diffuse large B-cell lymphoma: Post-hoc analysis from the PETAL trial
Christine Hanoun, Andreas Hüttmann, Stefan Müller, et al.
European Journal of Cancer (2019) Vol. 124, pp. 25-36
Closed Access | Times Cited: 84
Prognostic value of interim FDG-PET in diffuse large cell lymphoma: results from the CALGB 50303 Clinical Trial
Heiko Schöder, Mei‐Yin C. Polley, Michael V. Knopp, et al.
Blood (2020) Vol. 135, Iss. 25, pp. 2224-2234
Open Access | Times Cited: 80
Automated Segmentation of Baseline Metabolic Total Tumor Burden in Diffuse Large B-Cell Lymphoma: Which Method Is Most Successful? A Study on Behalf of the PETRA Consortium
Sally F. Barrington, Gerben J. C. Zwezerijnen, Henrica C. W. de Vet, et al.
Journal of Nuclear Medicine (2020) Vol. 62, Iss. 3, pp. 332-337
Open Access | Times Cited: 79
Baseline 18F-FDG PET radiomic features as predictors of 2-year event-free survival in diffuse large B cell lymphomas treated with immunochemotherapy
Nicolas Aide, Christophe Fruchart, Catherine Nganoa, et al.
European Radiology (2020) Vol. 30, Iss. 8, pp. 4623-4632
Closed Access | Times Cited: 74
Baseline PET/CT imaging parameters for prediction of treatment outcome in Hodgkin and diffuse large B cell lymphoma: a systematic review
Russell Frood, Christopher Burton, Charalampos Tsoumpas, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 48, Iss. 10, pp. 3198-3220
Open Access | Times Cited: 64
Brentuximab Vedotin Plus AVD for First-Line Treatment of Early-Stage Unfavorable Hodgkin Lymphoma (BREACH): A Multicenter, Open-Label, Randomized, Phase II Trial
Luc‐Matthieu Fornecker, Julien Lazarovici, Igor Aurer, et al.
Journal of Clinical Oncology (2022) Vol. 41, Iss. 2, pp. 327-335
Open Access | Times Cited: 43
18F-FDG PET Maximum-Intensity Projections and Artificial Intelligence: A Win-Win Combination to Easily Measure Prognostic Biomarkers in DLBCL Patients
Kibrom Berihu Girum, Louis Rebaud, Anne‐Ségolène Cottereau, et al.
Journal of Nuclear Medicine (2022) Vol. 63, Iss. 12, pp. 1925-1932
Open Access | Times Cited: 38
Baseline PET radiomics outperform the IPI risk score for prediction of outcome in diffuse large B-cell lymphoma
Jakoba J. Eertink, Gerben J. C. Zwezerijnen, Martijn W. Heymans, et al.
Blood (2023)
Open Access | Times Cited: 23
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