David Chen

26 papers receiving 427 citations

David Chen's Hit Papers

Single-cell Transcriptional Atlas of Human Hematopoiesis Reveals Genetic and Hierarchy-Based Determinants of Aberrant AML Differentiation 2025 · 18 citations
180Years since publication51015

Peers

David Chen
Comparison fields: 5 of 73
  • Health Informatics 15
  • Ophthalmology 66
  • Clinical Biochemistry 27
  • Cancer Research 52
  • Infectious Diseases 48
Replace Sarah L. N. Clarke with:
Sarah L. N. Clarke United Kingdom
Eirini Iliaki United States
Tian Xia United States
Brijesh Takkar India
Seth D. Fortmann United States
Victoria Fernández Spain
Sujata Chaturvedi India
Mehmet Türe Türkiye
Gervith Reyes-Soto Mexico
Ishan Kumar India
David Chen relative to Sarah L. N. Clarke United Kingdom Sarah L. N. Clarke's profile →
Citations per field
00.5×5.2×
Sarah L. N. Clarke · 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 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017113
2 201196
3 201145
4 198138
5 202123
6 202123
7
Single-cell Transcriptional Atlas of Human Hematopoiesis Reveals Genetic and Hierarchy-Based Determinants of Aberrant AML Differentiation
Hit paper breakdown →
202518
8 202512
9 202511
10 20219
11 20247
12 20257
13 20206
14 20185
15 20224
16 20254
17 20242
18 20221
19 20171
20 20251

About David Chen

David Chen is a scholar working on Epidemiology, Surgery, Health Informatics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 432 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare and Education (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Urologic and reproductive health conditions (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Neurofibromatosis and Schwannoma Cases (1 paper), Renal Transplantation Outcomes and Treatments (1 paper), RNA Interference and Gene Delivery (1 paper) and Hernia repair and management (1 paper). The work is most often cited by research in Health Informatics (15 citations), Ophthalmology (66 citations), Clinical Biochemistry (27 citations), Cancer Research (52 citations) and Infectious Diseases (48 citations). David Chen has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Lawrence E. Holder, Moshe Melloul, Carol Y. Cheung, Aliaksandra Samoila, Yingfeng Zheng, Sarat Chandarlapaty, Seang‐Mei Saw, Daoqi You, Parul Patel and Tin Aung. Their work appears in journals such as Journal of Medical Internet Research, Insects, CHEST Journal, Archives of Physical Medicine and Rehabilitation and Seminars in Nuclear Medicine.

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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