Jin Yan

20 papers receiving 372 citations

Peers

Jin Yan
Comparison fields: 5 of 93
  • Complementary and alternative medicine 32
  • Orthopedics and Sports Medicine 29
  • Nephrology 23
  • Rheumatology 35
  • Cancer Research 33
Replace Dong‐Hwa Lee with:
Dong‐Hwa Lee South Korea
Zihui Tang China
Daisuke Asaoka Japan
Rodica Pădureanu Romania
Fatma Demet Arslan Türkiye
Arun Raizada India
Qiang Qu China
Lori R. Roust United States
So-Hee Lee South Korea
Jin Yan relative to Dong‐Hwa Lee South Korea Dong‐Hwa Lee's profile →
Citations per field
00.5×3.6×
Dong‐Hwa Lee · 1×
Citations per year

Countries citing papers authored by Jin Yan

Since Specialization
Citations

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

Fields of papers citing papers by Jin Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202181
2 201245
3 202041
4 201134
5 201933
6 201532
7 202026
8 201321
9 200813
10 20218
11 20168
12 20237
13 20137
14 20197
15 20156
16 20245
17 20235
18 20232
19
Specificity and Non-Specificity of Stressful Responses
20081
20
[Clinical value of the narrow-band imaging combined with endoscopic submucosal dissection for gastric high grade intraepithelial neoplasia].
20161

About Jin Yan

Jin Yan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Complementary and alternative medicine, having authored 21 papers that have together received 383 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (2 papers), Traditional Chinese Medicine Studies (2 papers), Asthma and respiratory diseases (2 papers), Esophageal and GI Pathology (2 papers), Traditional Chinese Medicine Analysis (2 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers), Pharmacological Effects of Natural Compounds (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Complementary and alternative medicine (32 citations), Orthopedics and Sports Medicine (29 citations), Nephrology (23 citations), Rheumatology (35 citations) and Cancer Research (33 citations). Jin Yan has collaborated with scholars based in China, United States and Morocco. Frequent co-authors include Bu-Hui Liu, Yuting Cao, Wei Sun, Guang-Xia Ni, Zi-Yue Wan, Yi‐Gang Wan, Zi-Lin Li, Yue Tu, Liang Yue and Jingjing Wu. Their work appears in journals such as Scientific Reports, JMIR mhealth and uhealth, Skin Research and Technology, European Journal of Gastroenterology & Hepatology and International Journal of Environmental Research and Public Health.

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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