David Chi

934 citations
38 papers · 681 · h-index 10

Impact in

  • Oncology top 10%
    • PARP inhibition in cancer therapy
    • Cancer-related Molecular Pathways
    • Breast Cancer Treatment Studies

Papers in

    • Reconstructive Surgery and Microvascular Techniques 7
    • Breast Implant and Reconstruction 6
    • Nerve Injury and Rehabilitation 4
    • Orthopedic Surgery and Rehabilitation 2
    • Nerve injury and regeneration 4

David Chi

33 papers receiving 674 citations

Peers

David Chi
Comparison fields: 5 of 67
  • Oncology 183
  • Cancer Research 85
  • Genetics 120
  • Molecular Biology 172
  • Surgery 98
Replace Mark L. Wood with:
Mark L. Wood United States
Felicia M. Rosenthal Germany
Jacqueline Jones United States
Lijun Mao China
Francesca Belardinilli Italy
Jesse A. Schoonmaker United States
Alexey Bersenev United States
Eugine Lee South Korea
Suvendu Das United States
Shouheng Lin China
David Chi relative to Mark L. Wood United States Mark L. Wood's profile →
Citations per field
00.5×2×4×6.4×
Mark L. Wood · 1×
Citations per year

Countries citing papers authored by David Chi

Since Specialization
Citations

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

Fields of papers citing papers by David Chi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016229
2 201770
3 201968
4 201859
5 201354
6 202029
7 202128
8 202025
9 202020
10 202119
11 20208
12 20228
13 20238
14 20237
15 20174
16 20184
17 20184
18 20234
19 20234
20 20223

About David Chi

David Chi is a scholar working on Surgery, Cellular and Molecular Neuroscience, Genetics, Oncology and Emergency Medicine, having authored 38 papers that have together received 681 indexed citations. Recurring topics across this work include Reconstructive Surgery and Microvascular Techniques (7 papers), Breast Implant and Reconstruction (6 papers), Nerve Injury and Rehabilitation (4 papers), Nerve injury and regeneration (4 papers), Estrogen and related hormone effects (3 papers), Orthopedic Surgery and Rehabilitation (2 papers), Peripheral Nerve Disorders (2 papers) and Craniofacial Disorders and Treatments (2 papers). The work is most often cited by research in Oncology (183 citations), Cancer Research (85 citations), Genetics (120 citations), Molecular Biology (172 citations) and Surgery (98 citations). David Chi has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Elgene Lim, Myles Brown, Austin Y. Ha, Prakash K. Rao, Henry W. Long, Rinath M. Jeselsohn, Terence Michael Myckatyn, Austin D. Chen, Susan E. Mackinnon and Bernard Travis Lee. Their work appears in journals such as Annals of Plastic Surgery, Plastic & Reconstructive Surgery, Hand, Aesthetic Surgery Journal and Cell Reports.

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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