Daniel Chen

10 papers receiving 1.1k citations

Peers

Daniel Chen
Comparison fields: 5 of 99
  • Psychiatry and Mental health 628
  • Family Practice 76
  • Public Health, Environmental and Occupational Health 295
  • Physiology 217
  • Health Information Management 35
Replace Howard D. Zucker with:
Howard D. Zucker Germany
Fiona Choi Canada
Boris Chaumette France
Kristine Olson United States
Anna Ratzliff United States
Harry Karlinsky Canada
Melanie Shulman United States
D. Dassa France
Michaël Saraga Switzerland
Carl J. Getto United States
Daniel Chen relative to Howard D. Zucker Germany Howard D. Zucker's profile →
Citations per field
00.5×10×20×34×
Howard D. Zucker · 1×
Citations per year

Countries citing papers authored by Daniel Chen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel 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 Daniel Chen Line = papers co-authored together Daniel Chen links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2007432
2 1997406
3 2012210
4 200974
5 201630
6 202215
7 199013
8 20205
9 20232
10 20162
11 20250
12 20250
13 20260

About Daniel Chen

Daniel Chen is a scholar working on Psychiatry and Mental health, Molecular Biology, Artificial Intelligence, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Empathy and Medical Education (4 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Artificial Intelligence in Healthcare (1 paper), Alzheimer's disease research and treatments (1 paper), Cancer Genomics and Diagnostics (1 paper), Opioid Use Disorder Treatment (1 paper), Heparin-Induced Thrombocytopenia and Thrombosis (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Psychiatry and Mental health (628 citations), Family Practice (76 citations), Public Health, Environmental and Occupational Health (295 citations), Physiology (217 citations) and Health Information Management (35 citations). Daniel Chen has collaborated with scholars based in United States and Australia. Frequent co-authors include Jay D. Orlander, Robert Lew, Warren Hershman, Virginia M.‐Y. Lee, Peter S. Klein, Ming Hong, Robert H. Aseltine, Jun Yan, Ziming Xuan and Raymond M. Quock. Their work appears in journals such as Journal of General Internal Medicine, Patient Education and Counseling, JCO Clinical Cancer Informatics, Pharmacological Research and Medical Teacher.

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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