Mark Chen

37.9k total citations · 7 hit papers
221 papers, 13.9k citations indexed

About

Mark Chen is a scholar working on Epidemiology, Infectious Diseases and Modeling and Simulation. According to data from OpenAlex, Mark Chen has authored 221 papers receiving a total of 13.9k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Epidemiology, 75 papers in Infectious Diseases and 43 papers in Modeling and Simulation. Recurrent topics in Mark Chen's work include Influenza Virus Research Studies (53 papers), COVID-19 epidemiological studies (43 papers) and Respiratory viral infections research (33 papers). Mark Chen is often cited by papers focused on Influenza Virus Research Studies (53 papers), COVID-19 epidemiological studies (43 papers) and Respiratory viral infections research (33 papers). Mark Chen collaborates with scholars based in Singapore, United States and Australia. Mark Chen's co-authors include John A. Bargh, Lara J. Burrows, Dean Ho, Robert Lam, Eiji Ōsawa, Yee‐Sin Leo, Lin‐Fa Wang, Alex R. Cook, Wan Ni Chia and Barnaby Edward Young and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Mark Chen

218 papers receiving 13.3k citations

Hit Papers

Automaticity of social behavior: Direct effects of trait ... 1996 2026 2006 2016 1996 1996 2020 1999 2020 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Chen Singapore 48 3.7k 2.6k 2.4k 2.1k 1.5k 221 13.9k
Russell Viner United Kingdom 72 1.7k 0.5× 2.4k 0.9× 1.8k 0.8× 1.7k 0.8× 558 0.4× 397 22.4k
Nicola Luigi Bragazzi Italy 62 2.5k 0.7× 1.5k 0.6× 762 0.3× 3.0k 1.4× 615 0.4× 843 20.5k
Gail Williams Australia 91 1.1k 0.3× 1.8k 0.7× 1.7k 0.7× 4.2k 2.0× 1.3k 0.8× 855 39.8k
Ara Darzi United Kingdom 117 1.2k 0.3× 1.2k 0.5× 1.4k 0.6× 3.6k 1.7× 1.1k 0.7× 1.5k 59.3k
Rifat Atun United States 70 2.8k 0.7× 1.4k 0.5× 1.1k 0.5× 3.5k 1.7× 208 0.1× 442 22.6k
Johannes Brug Netherlands 104 500 0.1× 3.2k 1.2× 1.8k 0.7× 1.0k 0.5× 686 0.4× 604 38.9k
Joseph T. F. Lau Hong Kong 77 4.3k 1.2× 5.0k 1.9× 1.6k 0.7× 6.7k 3.1× 668 0.4× 613 28.9k
Margaret Johnson United Kingdom 108 15.5k 4.2× 3.4k 1.3× 1.7k 0.7× 11.7k 5.5× 518 0.3× 1.0k 48.9k
Paul A. Harris United States 32 3.7k 1.0× 2.2k 0.9× 1.7k 0.7× 8.0k 3.8× 1.8k 1.2× 168 51.4k
Burton H. Singer United States 75 1.8k 0.5× 2.6k 1.0× 4.8k 2.0× 1.0k 0.5× 775 0.5× 231 24.5k

Countries citing papers authored by Mark Chen

Since Specialization
Citations

This map shows the geographic impact of Mark Chen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Chen more than expected).

Fields of papers citing papers by Mark Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Chen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Chen. The network helps show where Mark Chen may publish in the future.

Co-authorship network of co-authors of Mark Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Chen. A scholar is included among the top collaborators of Mark Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Chen. Mark Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Sirakov, Nikolay, et al.. (2023). Embedding vector field into image features to enhance classification. Journal of Computational and Applied Mathematics. 441. 115685–115685. 2 indexed citations
2.
Sumner, Jennifer, et al.. (2023). Mental health and resilience after the covid-19 pandemic: a multi-ethnic longitudinal survey. BMC Public Health. 23(1). 2340–2340. 3 indexed citations
3.
Pung, Rachael, Lin Cui, Sae‐Rom Chae, et al.. (2023). Severity of SARS-CoV-2 Omicron XBB Subvariants in Singapore. SSRN Electronic Journal. 1 indexed citations
4.
Chen, Mark, et al.. (2022). A Decade of Success in Melanoma Immunotherapy and Targeted Therapy: What Every Radiologist Should Know. Journal of Computer Assisted Tomography. 46(4). 621–632. 2 indexed citations
6.
Coleman, Kristen K., Douglas Jie Wen Tay, Kai Sen Tan, et al.. (2021). Viral Load of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in Respiratory Aerosols Emitted by Patients With Coronavirus Disease 2019 (COVID-19) While Breathing, Talking, and Singing. Clinical Infectious Diseases. 74(10). 1722–1728. 162 indexed citations breakdown →
8.
Ramesh, Aditya, Mikhail Pavlov, Gabriel Goh, et al.. (2021). Zero-Shot Text-to-Image Generation. International Conference on Machine Learning. 8821–8831. 6 indexed citations
9.
Chia, Wan Ni, Chee Wah Tan, Randy Foo, et al.. (2020). Serological differentiation between COVID-19 and SARS infections. Emerging Microbes & Infections. 9(1). 1497–1505. 70 indexed citations
10.
Chen, Mark, Alec Radford, Rewon Child, et al.. (2020). Generative Pretraining From Pixels. International Conference on Machine Learning. 1. 1691–1703. 288 indexed citations breakdown →
11.
Lwin, May O., Jiahui Lu, Anita Sheldenkar, et al.. (2020). Effectiveness of a Mobile-Based Influenza-Like Illness Surveillance System (FluMob) Among Health Care Workers: Longitudinal Study. JMIR mhealth and uhealth. 8(12). e19712–e19712. 10 indexed citations
12.
Jun, Heewoo, Rewon Child, Mark Chen, et al.. (2020). Distribution Augmentation for Generative Modeling. International Conference on Machine Learning. 5006–5019. 8 indexed citations
13.
Cook, Alex R., Mikael Hartman, Nan Luo, et al.. (2017). Using peer review to distribute group work marks equitably between medical students. BMC Medical Education. 17(1). 172–172. 3 indexed citations
15.
Fu, Xiuju, et al.. (2012). Comparability of Results from Pair and Classical Model Formulations for Different Sexually Transmitted Infections. PLoS ONE. 7(6). e39575–e39575. 7 indexed citations
16.
Chen, Mark. (2012). Leet noobs : the life and death of an expert player group in World of Warcraft. Peter Lang eBooks. 81 indexed citations
17.
Chen, Mark & Azra C. Ghani. (2010). Populations and partnerships: insights from metapopulation and pair models into the epidemiology of gonorrhoea and other sexually transmitted infections. Sexually Transmitted Infections. 86(6). 433–439. 12 indexed citations
18.
Lim, Poh Lian, Angela Chow, Timothy Barkham, et al.. (2009). Epidemiology of Travel-associated Pandemic (H1N1) 2009 Infection in 116 Patients, Singapore. Emerging infectious diseases. 16(1). 21–26. 49 indexed citations
19.
Earnest, Arul, Colin S. Tan, Mark E. Puhaindran, et al.. (2006). SARS in Singapore – Predictors of Disease Severity. Annals of the Academy of Medicine Singapore. 35(5). 326–331. 81 indexed citations
20.
Chen, Mark, et al.. (2005). Modeling and Measuring Engagement in Computer Games.. 6 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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