David Chi

58 papers receiving 2.8k citations

David Chi's Hit Papers

Mutations in the RET proto-oncogene are associated with MEN 2A and FMTC 1993 · 1.1k citations
1.1k0+11+22Years since publication2505007501000

Peers

David Chi
Comparison fields: 5 of 106
  • Endocrinology, Diabetes and Metabolism 886
  • Oncology 706
  • Neurology 288
  • Genetics 497
  • Epidemiology 557
Replace Sin‐Soo Jeun with:
Sin‐Soo Jeun South Korea
Gianluigi Zona Italy
Renato Spaziante Italy
Osamu Tachibana Japan
Roberta P. Glick United States
Seiji Hama Japan
Fabio Rotondo Canada
Katsunori Fujii Japan
Elena Allìa Italy
Giorgio Giovanni Carrabba Italy
David Chi relative to Sin‐Soo Jeun South Korea Sin‐Soo Jeun's profile →
Citations per field
00.5×2×4×5.5×
Sin‐Soo Jeun · 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 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mutations in the RET proto-oncogene are associated with MEN 2A and FMTC
Hit paper breakdown →
19931106
2 1994511
3 2016225
4 1993166
5 2020121
6 201769
7 201968
8 199262
9 201858
10 199355
11 201354
12 201634
13 202028
14 202128
15 202024
16
Design, synthesis, and biological evaluation of 5H-thiazolo[3,2-a]pyrimidine derivatives as a new type of acetylcholinesterase inhibitors
200822
17 201322
18 202021
19 202020
20 202119

About David Chi

David Chi is a scholar working on Surgery, Otorhinolaryngology, Oncology, Neurology and Genetics, having authored 64 papers that have together received 2.9k indexed citations. Recurring topics across this work include Nerve Injury and Rehabilitation (7 papers), Ear Surgery and Otitis Media (5 papers), Breast Implant and Reconstruction (5 papers), Neuroendocrine Tumor Research Advances (4 papers), Nerve injury and regeneration (4 papers), Neuroblastoma Research and Treatments (3 papers), Estrogen and related hormone effects (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (886 citations), Oncology (706 citations), Neurology (288 citations), Genetics (497 citations) and Epidemiology (557 citations). David Chi has collaborated with scholars based in United States, Netherlands and Australia. Frequent co-authors include Helen Donis-Keller, Koji Toshima, Katrin M. Carlson, Samuel A. Wells, Paul J. Goodfellow, Terry C. Lairmore, James R. Howe, Shenshen Dou, Jeffrey F. Moley and Charles E. Jackson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Annals of Plastic Surgery, Plastic & Reconstructive Surgery, The Laryngoscope and Hand.

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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