David Chen

38 papers receiving 806 citations

Peers

David Chen
Comparison fields: 5 of 125
  • Oncology 274
  • Internal Medicine 33
  • Hepatology 69
  • Pathology and Forensic Medicine 118
  • Rehabilitation 42
Replace Stephanie M. Wood with:
Stephanie M. Wood Sweden
Danbi Lee South Korea
Khaled Alkattan Saudi Arabia
Ning Cai China
Qian He China
Astrid Schmieder Germany
Matteo Martinato Italy
Jian Lu China
Sung Hwan Kim South Korea
J. S. Thompson United States
David Chen relative to Stephanie M. Wood Sweden Stephanie M. Wood's profile →
Citations per field
00.5×4.7×
Stephanie M. Wood · 1×
Citations per year

Countries citing papers authored by David Chen

Since Specialization
Citations

This map shows the geographic impact of David 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 David Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Chen more than expected).

Fields of papers citing papers by David Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David 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 David Chen. The network helps show where David Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside David Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Chen Line = papers co-authored together David Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998211
2 200492
3 201178
4 198968
5 199863
6 200337
7 200434
8 201630
9 201424
10 202120
11 199420
12 201417
13
Hospital length of stay among COVID-19-positive patients.
202116
14 200415
15 201315
16 200114
17
Stress Management and Prevention: Applications to Daily Life
200712
18 201910
19 20029
20 20018

About David Chen

David Chen is a scholar working on Oncology, Developmental and Educational Psychology, Infectious Diseases, Surgery and Social Psychology, having authored 42 papers that have together received 837 indexed citations. Recurring topics across this work include Sport Psychology and Performance (5 papers), Cancer Treatment and Pharmacology (3 papers), Motor Control and Adaptation (3 papers), Spinal Cord Injury Research (3 papers), Action Observation and Synchronization (2 papers), Motivation and Self-Concept in Sports (2 papers), Urinary and Genital Oncology Studies (2 papers) and Healthcare cost, quality, practices (2 papers). The work is most often cited by research in Oncology (274 citations), Internal Medicine (33 citations), Hepatology (69 citations), Pathology and Forensic Medicine (118 citations) and Rehabilitation (42 citations). David Chen has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Suresh V. Ambudkar, Saibal Dey, Michael M. Gottesman, Christine A. Hrycyna, Murali Ramachandra, Ira Pastan, Ron Weiss, Genyuan Li, Sara Hooshangi and Xiao‐Jiang Feng. Their work appears in journals such as Journal of Clinical Oncology, PM&R, The Journal of Urology, DNA and Cell Biology and Physiological Genomics.

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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