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:

Novel coronavirus 2019-nCoV (COVID-19): early estimation of epidemiological parameters and epidemic size estimates
Jonathan M. Read, Jessica R. E. Bridgen, Derek A. T. Cummings, et al.
Philosophical Transactions of the Royal Society B Biological Sciences (2021) Vol. 376, Iss. 1829
Open Access | Times Cited: 439

Showing 1-25 of 439 citing articles:

The reproductive number of COVID-19 is higher compared to SARS coronavirus
Ying Liu, Alberto Alexander Gayle, Annelies Wilder‐Smith, et al.
Journal of Travel Medicine (2020) Vol. 27, Iss. 2
Open Access | Times Cited: 3399

Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts
Joel Hellewell, Sam Abbott, Amy Gimma, et al.
The Lancet Global Health (2020) Vol. 8, Iss. 4, pp. e488-e496
Open Access | Times Cited: 2729

Preliminary estimation of the basic reproduction number of novel coronavirus (2019-nCoV) in China, from 2019 to 2020: A data-driven analysis in the early phase of the outbreak
Shi Zhao, Qianyin Lin, Jinjun Ran, et al.
International Journal of Infectious Diseases (2020) Vol. 92, pp. 214-217
Open Access | Times Cited: 1939

Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy
Giulia Giordano, Franco Blanchini, Raffaele Bruno, et al.
Nature Medicine (2020) Vol. 26, Iss. 6, pp. 855-860
Open Access | Times Cited: 1815

Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions
Zifeng Yang, Zhiqi Zeng, Ke Wang, et al.
Journal of Thoracic Disease (2020) Vol. 12, Iss. 3, pp. 165-174
Open Access | Times Cited: 1421

Changes in contact patterns shape the dynamics of the COVID-19 outbreak in China
Juanjuan Zhang, Maria Litvinova, Yuxia Liang, et al.
Science (2020) Vol. 368, Iss. 6498, pp. 1481-1486
Open Access | Times Cited: 1167

Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures
Marino Gatto, Enrico Bertuzzo, Lorenzo Mari, et al.
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 19, pp. 10484-10491
Open Access | Times Cited: 1117

Effective containment explains subexponential growth in recent confirmed COVID-19 cases in China
Benjamin F. Maier, Dirk Brockmann
Science (2020) Vol. 368, Iss. 6492, pp. 742-746
Open Access | Times Cited: 937

A systematic review of antibody mediated immunity to coronaviruses: kinetics, correlates of protection, and association with severity
Angkana T. Huang, Bernardo García‐Carreras, Matt D. T. Hitchings, et al.
Nature Communications (2020) Vol. 11, Iss. 1
Open Access | Times Cited: 925

To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic
Steffen E. Eikenberry, Marina Mancuso, Enahoro Iboi, et al.
Infectious Disease Modelling (2020) Vol. 5, pp. 293-308
Open Access | Times Cited: 844

Quarantine alone or in combination with other public health measures to control COVID-19: a rapid review
Barbara Nußbaumer-Streit, Verena Mayr, Andreea Dobrescu, et al.
Cochrane library (2020)
Open Access | Times Cited: 840

Pathogenicity and transmissibility of 2019-nCoV—A quick overview and comparison with other emerging viruses
Jieliang Chen
Microbes and Infection (2020) Vol. 22, Iss. 2, pp. 69-71
Open Access | Times Cited: 828

Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study
Joel Ruihan Koo, Alex R. Cook, Minah Park, et al.
The Lancet Infectious Diseases (2020) Vol. 20, Iss. 6, pp. 678-688
Open Access | Times Cited: 799

An updated estimation of the risk of transmission of the novel coronavirus (2019-nCov)
Biao Tang, Nicola Luigi Bragazzi, Qian Li, et al.
Infectious Disease Modelling (2020) Vol. 5, pp. 248-255
Open Access | Times Cited: 791

Transmission potential and severity of COVID-19 in South Korea
Eunha Shim, Amna Tariq, Wongyeong Choi, et al.
International Journal of Infectious Diseases (2020) Vol. 93, pp. 339-344
Open Access | Times Cited: 741

Real-time forecasts of the COVID-19 epidemic in China from February 5th to February 24th, 2020
Kimberlyn Roosa, Y. Lee, Ruiyan Luo, et al.
Infectious Disease Modelling (2020) Vol. 5, pp. 256-263
Open Access | Times Cited: 687

Why is it difficult to accurately predict the COVID-19 epidemic?
Weston C. Roda, Marie Varughese, Donglin Han, et al.
Infectious Disease Modelling (2020) Vol. 5, pp. 271-281
Open Access | Times Cited: 658

A Systematic Review of COVID-19 Epidemiology Based on Current Evidence
Minah Park, Alex R. Cook, Jue Tao Lim, et al.
Journal of Clinical Medicine (2020) Vol. 9, Iss. 4, pp. 967-967
Open Access | Times Cited: 607

Insights into the Recent 2019 Novel Coronavirus (SARS-CoV-2) in Light of Past Human Coronavirus Outbreaks
Hossam M. Ashour, Walid F. Elkhatib, Md. Masudur Rahman, et al.
Pathogens (2020) Vol. 9, Iss. 3, pp. 186-186
Open Access | Times Cited: 598

The Natural History, Pathobiology, and Clinical Manifestations of SARS-CoV-2 Infections
Jatin Machhi, Jonathan Herskovitz, Ahmed M. Senan, et al.
Journal of Neuroimmune Pharmacology (2020) Vol. 15, Iss. 3, pp. 359-386
Open Access | Times Cited: 589

2019 Novel coronavirus: where we are and what we know
Zhangkai J. Cheng, Jing Shan
Infection (2020) Vol. 48, Iss. 2, pp. 155-163
Open Access | Times Cited: 559

Quarantine alone or in combination with other public health measures to control COVID-19: a rapid review
Barbara Nußbaumer-Streit, Verena Mayr, Andreea Dobrescu, et al.
Cochrane library (2020) Vol. 2020, Iss. 9
Open Access | Times Cited: 540

Covasim: An agent-based model of COVID-19 dynamics and interventions
Cliff C. Kerr, Robyn M. Stuart, Dina Mistry, et al.
PLoS Computational Biology (2021) Vol. 17, Iss. 7, pp. e1009149-e1009149
Open Access | Times Cited: 515

Page 1 - Next Page

Scroll to top