Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Predictive Value of PET Response Combined with Baseline Metabolic Tumor Volume in Peripheral T-Cell Lymphoma Patients
Anne‐Ségolène Cottereau, Tarec Christoffer El‐Galaly, Stéphanie Becker, et al.
Journal of Nuclear Medicine (2017) Vol. 59, Iss. 4, pp. 589-595
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

T-Cell Lymphomas, Version 2.2022, NCCN Clinical Practice Guidelines in Oncology
Steven M. Horwitz, Stephen M. Ansell, Weiyun Z. Ai, et al.
Journal of the National Comprehensive Cancer Network (2022) Vol. 20, Iss. 3, pp. 285-308
Open Access | Times Cited: 116
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
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
Fully automatic segmentation of diffuse large B cell lymphoma lesions on 3D FDG-PET/CT for total metabolic tumour volume prediction using a convolutional neural network.
Paul Blanc‐Durand, Simon Jégou, Salim Kanoun, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2020) Vol. 48, Iss. 5, pp. 1362-1370
Closed Access | Times Cited: 104
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
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
PET/CT in Non-Hodgkin Lymphoma: An Update
Lucia Zanoni, Davide Bezzi, Cristina Nanni, et al.
Seminars in Nuclear Medicine (2022) Vol. 53, Iss. 3, pp. 320-351
Closed Access | Times Cited: 42
Radiomic features of glucose metabolism enable prediction of outcome in mantle cell lymphoma
Marius E. Mayerhoefer, Christopher C. Riedl, Anita Kumar, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2019) Vol. 46, Iss. 13, pp. 2760-2769
Open Access | Times Cited: 68
The role of PET in the first-line treatment of the most common subtypes of non-Hodgkin lymphoma
Sally F. Barrington, Judith Trotman
The Lancet Haematology (2020) Vol. 8, Iss. 1, pp. e80-e93
Closed Access | Times Cited: 55
Convolutional Neural Networks for Automated PET/CT Detection of Diseased Lymph Node Burden in Patients with Lymphoma
Amy J. Weisman, Minnie Kieler, Scott B. Perlman, et al.
Radiology Artificial Intelligence (2020) Vol. 2, Iss. 5, pp. e200016-e200016
Open Access | Times Cited: 53
Application of the Lugano Classification for Initial Evaluation, Staging, and Response Assessment of Hodgkin and Non-Hodgkin Lymphoma: The PRoLoG Consensus Initiative (Part 1—Clinical)
Fabien Ricard, Bruce D. Cheson, Sally F. Barrington, et al.
Journal of Nuclear Medicine (2022) Vol. 64, Iss. 1, pp. 102-108
Open Access | Times Cited: 30
Pretherapeutic FDG-PET total metabolic tumor volume predicts response to induction therapy in pediatric Hodgkin’s lymphoma
Julian M.M. Rogasch, Patrick Hundsdoerfer, Frank Hofheinz, et al.
BMC Cancer (2018) Vol. 18, Iss. 1
Open Access | Times Cited: 47
Baseline and interim functional imaging with PET effectively risk stratifies patients with peripheral T-cell lymphoma
Neha Mehta‐Shah, Kimiteru Ito, Kurt S. Bantilan, et al.
Blood Advances (2019) Vol. 3, Iss. 2, pp. 187-197
Open Access | Times Cited: 42
MRI and PET/MRI in hematologic malignancies
Marius E. Mayerhoefer, Stephen J. Archibald, Christina Messiou, et al.
Journal of Magnetic Resonance Imaging (2019) Vol. 51, Iss. 5, pp. 1325-1335
Open Access | Times Cited: 41
Artificial intelligence–based, volumetric assessment of the bone marrow metabolic activity in [18F]FDG PET/CT predicts survival in multiple myeloma
Christos Sachpekidis, Olof Enqvist, Johannes Ulén, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2024) Vol. 51, Iss. 8, pp. 2293-2307
Open Access | Times Cited: 4
Pre‐treatment total metabolic tumour volumes in lymphoma: Does quantity matter?
Tarec Christoffer El‐Galaly, Diego Villa, Chan Y. Cheah, et al.
British Journal of Haematology (2022) Vol. 197, Iss. 2, pp. 139-155
Closed Access | Times Cited: 17
Metabolic parameters predict survival and toxicity in chimeric antigen receptor T‐cell therapy‐treated relapsed/refractory large B‐cell lymphoma
Hazim Ababneh, Andrea K. Ng, Jeremy S. Abramson, et al.
Hematological Oncology (2023) Vol. 42, Iss. 1
Open Access | Times Cited: 10
Interim FDG-PET Imaging in Lymphoma
Andrea Gallamini, C. Zwarthoed
Seminars in Nuclear Medicine (2017) Vol. 48, Iss. 1, pp. 17-27
Closed Access | Times Cited: 29
Does PET Reconstruction Method Affect Deauville Score in Lymphoma Patients?
Blandine Enilorac, Charline Lasnon, Cathy Nganoa, et al.
Journal of Nuclear Medicine (2017) Vol. 59, Iss. 7, pp. 1049-1055
Open Access | Times Cited: 27
Baseline and interim PET‐based outcome prediction in peripheral T‐cell lymphoma: A subgroup analysis of the PETAL trial
Christine Hanoun, Jan Rekowski, Stefan Müller, et al.
Hematological Oncology (2020) Vol. 38, Iss. 3, pp. 244-256
Open Access | Times Cited: 22
Current Role of Functional Imaging in the Management of Lymphoma
Bruce D. Cheson, Michel Meignan
Current Oncology Reports (2021) Vol. 23, Iss. 12
Closed Access | Times Cited: 18
Interim FDG-PET/CT for Response Assessment of Lymphoma
Merissa N. Zeman, Esma A. Akin, Reid W. Merryman, et al.
Seminars in Nuclear Medicine (2022) Vol. 53, Iss. 3, pp. 371-388
Closed Access | Times Cited: 13
Prognostic Values of Baseline 18F-FDG PET/CT in Patients with Peripheral T-Cell Lymphoma
Yeye Zhou, Xiaoyi Zhang, Haifeng Qin, et al.
BioMed Research International (2020) Vol. 2020, pp. 1-10
Open Access | Times Cited: 16
Treatment approaches in relapsed or refractory peripheral T-cell lymphomas
Cheryl J. Foster, John Kuruvilla
F1000Research (2020) Vol. 9, pp. 1091-1091
Open Access | Times Cited: 16
Utility of PET-CT for Evaluation of Patients With Peripheral T-cell Lymphoma
Ronit Gurion, Hanna Bernstine, Liran Domachevsky, et al.
Clinical Lymphoma Myeloma & Leukemia (2018) Vol. 18, Iss. 10, pp. 687-691
Closed Access | Times Cited: 15
Page 1 - Next Page

Scroll to top