Gan Chen

109 papers receiving 1.6k citations

Hit Papers

Transformers in medical image analysis 2022 · 255 citations
255202220262023202450100150200250

Peers

Gan Chen
Comparison fields: 5 of 151
  • Critical Care and Intensive Care Medicine 98
  • Health Informatics 17
  • Neurology 87
  • Cell Biology 125
  • Pulmonary and Respiratory Medicine 234
Replace Xiang Wu with:
Xiang Wu China
Yvan Devaux Luxembourg
Jianguo Xu China
Yong Qin China
Shuai Zhang China
Miao Zhang China
Lu He China
Man Yang China
Huan Li China
Gan Chen relative to Xiang Wu China Xiang Wu's profile →
Citations per field
00.5×3.4×
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Citations per year

Countries citing papers authored by Gan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Gan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Transformers in medical image analysis
Hit paper breakdown →
2022255
2 2017105
3 201792
4 201250
5
The COMT (rs165599) gene polymorphism contributes to chemotherapy-induced cognitive impairment in breast cancer patients.
201645
6 202244
7 201242
8 201340
9 201538
10 202232
11 201431
12 202230
13 202230
14 202330
15 201328
16 202227
17 201627
18 201927
19 201925
20 201722

About Gan Chen

Gan Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Critical Care and Intensive Care Medicine, Epidemiology and Oncology, having authored 114 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer-related cognitive impairment studies (13 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (11 papers), Heme Oxygenase-1 and Carbon Monoxide (8 papers), Cancer survivorship and care (8 papers), Hemoglobin structure and function (7 papers), Advanced Nanomaterials in Catalysis (6 papers), Sepsis Diagnosis and Treatment (6 papers) and Traditional Chinese Medicine Analysis (5 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (98 citations), Health Informatics (17 citations), Neurology (87 citations), Cell Biology (125 citations) and Pulmonary and Respiratory Medicine (234 citations). Gan Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hong Zhou, Guoxing You, Lian Zhao, Jingxiang Zhao, Dinggang Shen, Ji Wen, Kelei He, Islem Rekik, Qian Wang and Huaidong Cheng. Their work appears in journals such as Experimental Biology and Medicine, Biomaterials, Scientific Reports, Food & Function and Molecular Neurobiology.

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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