David Chen

2.0k total citations
27 papers, 388 citations indexed

About

David Chen is a scholar working on Molecular Biology, Artificial Intelligence and Surgery. According to data from OpenAlex, David Chen has authored 27 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Artificial Intelligence and 4 papers in Surgery. Recurrent topics in David Chen's work include Topic Modeling (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). David Chen is often cited by papers focused on Topic Modeling (3 papers), Artificial Intelligence in Healthcare and Education (3 papers) and Chronic Lymphocytic Leukemia Research (2 papers). David Chen collaborates with scholars based in United States, Canada and Australia. David Chen's co-authors include Lawrence E. Holder, Moshe Melloul, Daoqi You, Wei He, Mary Ellen Moynahan, Sarat Chandarlapaty, Parul Patel, François Ringeisen, Aliaksandra Samoila and Gabriel N. Hortobágyi and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

David Chen

23 papers receiving 384 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Chen United States 9 99 93 88 80 66 27 388
Ken Kumagai Japan 10 46 0.5× 94 1.0× 75 0.9× 119 1.5× 23 0.3× 37 317
Panagiotis Selviaridis Greece 13 154 1.6× 8 0.1× 91 1.0× 51 0.6× 39 0.6× 27 493
Matteo Fallico Italy 21 40 0.4× 870 9.4× 545 6.2× 184 2.3× 20 0.3× 70 1.1k
Victoria Fernández Spain 13 17 0.2× 33 0.4× 40 0.5× 48 0.6× 8 0.1× 40 483
Aihua Ma China 13 23 0.2× 134 1.4× 176 2.0× 134 1.7× 11 0.2× 28 404
Asthik Biswas United Kingdom 10 48 0.5× 10 0.1× 92 1.0× 48 0.6× 6 0.1× 45 329
Lorenzo Ferro Desideri Italy 18 24 0.2× 544 5.8× 383 4.4× 171 2.1× 29 0.4× 86 850
Maria Pefkianaki United Kingdom 13 34 0.3× 456 4.9× 279 3.2× 92 1.1× 39 0.6× 31 586
Μαρία Γεωργίου United Kingdom 10 80 0.8× 117 1.3× 60 0.7× 180 2.3× 8 0.1× 16 420
Caroline Bund France 11 62 0.6× 4 0.0× 105 1.2× 68 0.8× 33 0.5× 39 346

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-authorship network of co-authors of David Chen

This figure shows the co-authorship network connecting the top 25 collaborators of David Chen. A scholar is included among the top collaborators of David 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 David Chen. David 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.
Zeng, Andy G.X., Ilaria Iacobucci, Amanda Mitchell, et al.. (2025). Single-cell Transcriptional Atlas of Human Hematopoiesis Reveals Genetic and Hierarchy-Based Determinants of Aberrant AML Differentiation. Blood Cancer Discovery. 6(4). 307–324. 8 indexed citations
2.
Ghodasara, Satyam, et al.. (2025). Does It Work, Help, and Stay? A Framework for Implementing Artificial Intelligence Tools in Radiology. Journal of the American College of Radiology. 23(3). 378–388.
3.
Chen, David, et al.. (2025). RNA immunotherapy: revolutionizing cancer and autoimmune disease treatments. Trends in Molecular Medicine. 32(2). 181–196. 3 indexed citations
4.
Cao, Christian, Rohit Arora, David Chen, et al.. (2025). Development of Prompt Templates for Large Language Model–Driven Screening in Systematic Reviews. Annals of Internal Medicine. 178(3). 389–401. 4 indexed citations
5.
Chen, David, et al.. (2025). Large Language Model Applications for Health Information Extraction in Oncology: Scoping Review. JMIR Cancer. 11. e65984–e65984. 3 indexed citations
6.
Marhon, Sajid A., Farnoosh Abbas‐Aghababazadeh, David Chen, et al.. (2025). Abstract 2060: Independent validation of endogenous retrotransposable elements as predictive biomarkers of immune checkpoint blockade response. Cancer Research. 85(8_Supplement_1). 2060–2060.
7.
Swanson, Karl, et al.. (2024). Biomedical text readability after hypernym substitution with fine-tuned large language models. PLOS Digital Health. 3(4). e0000489–e0000489. 6 indexed citations
8.
Park, David, et al.. (2024). Elevating Residency Match Success: The Potential Impact of a Home Program on the Surgical Match Rate. Journal of Surgical Research. 301. 280–286. 1 indexed citations
9.
Chen, David, et al.. (2024). Trial Factors Associated With Completion of Clinical Trials Evaluating AI: Retrospective Case-Control Study. Journal of Medical Internet Research. 26. e58578–e58578. 2 indexed citations
10.
11.
Chen, David. (2024). Ethical frameworks of informed consent in the age of pediatric precision medicine. SHILAP Revista de lepidopterología. 2. e6–e6. 1 indexed citations
12.
Chen, David & Christine Wang. (2022). Routine Skin Cancer Screening: Balance between Overdiagnosis and Prevention. Cancer Investigation. 40(10). 839–841. 1 indexed citations
13.
Chen, David, et al.. (2022). Differential Selection on Caste-Associated Genes in a Subterranean Termite. Insects. 13(3). 224–224. 3 indexed citations
14.
Chen, David. (2021). Analysis of Machine Learning Methods for COVID-19 Detection Using Serum Raman Spectroscopy. Applied Artificial Intelligence. 35(14). 1147–1168. 8 indexed citations
15.
Field‐Fote, Edelle C., Jeanne M. Zanca, Trevor A. Dyson‐Hudson, et al.. (2021). Characterizing the Experience of Spasticity after Spinal Cord Injury: A National Survey Project of the Spinal Cord Injury Model Systems Centers. Archives of Physical Medicine and Rehabilitation. 103(4). 764–772.e2. 23 indexed citations
16.
Chen, David, et al.. (2021). CARCINOID TUMOR IDENTIFIED WITHIN A SEQUESTERED LUNG. CHEST Journal. 160(4). A1512–A1512.
17.
Chen, David. (2020). Open Data: Implications on Privacy in Healthcare Research. SHILAP Revista de lepidopterología. 3. 5 indexed citations
18.
Moynahan, Mary Ellen, David Chen, Wei He, et al.. (2017). Correlation between PIK3CA mutations in cell-free DNA and everolimus efficacy in HR+, HER2− advanced breast cancer: results from BOLERO-2. British Journal of Cancer. 116(6). 726–730. 111 indexed citations
19.
Hal, Sebastiaan J. van, Mark Jones, Michael C. Wehrhahn, et al.. (2011). Methicillin-resistant Staphylococcus aureus vancomycin susceptibility testing: methodology correlations, temporal trends and clonal patterns. Journal of Antimicrobial Chemotherapy. 66(10). 2284–2287. 44 indexed citations
20.
Cheung, Carol Y., David Chen, Tien Yin Wong, et al.. (2011). Determinants of Quantitative Optic Nerve Measurements Using Spectral Domain Optical Coherence Tomography in a Population-Based Sample of Non-glaucomatous Subjects. Investigative Ophthalmology & Visual Science. 52(13). 9629–9629. 93 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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