Yan Jin

81 papers receiving 1.9k citations

Peers

Yan Jin
Comparison fields: 5 of 142
  • Parasitology 108
  • Emergency Medicine 128
  • Rehabilitation 86
  • Pulmonary and Respiratory Medicine 410
  • Endocrinology, Diabetes and Metabolism 197
Replace Guido Beldi with:
Guido Beldi Switzerland
Vivian C. McAlister Canada
Salvatore Giordano Italy
Peter McCluskey Australia
Emmanuel Morélon France
Stephen J. Roth United States
Jia Chen China
Helen G. Liley Australia
Christian M. Hedrich Germany
Samir Haffar United States
Yan Jin relative to Guido Beldi Switzerland Guido Beldi's profile →
Citations per field
00.5×4.3×
Guido Beldi · 1×
Citations per year

Countries citing papers authored by Yan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Yan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008141
2 2021106
3 1993100
4 201084
5 202178
6 200272
7 201157
8 201755
9 201953
10 200351
11 199445
12 200842
13 199938
14 201838
15 200336
16 200336
17 201534
18 201134
19 201933
20 200532

About Yan Jin

Yan Jin is a scholar working on Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine, Oncology, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 84 papers that have together received 1.9k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (12 papers), Lung Cancer Treatments and Mutations (11 papers), Cancer Immunotherapy and Biomarkers (8 papers), Lung Cancer Research Studies (8 papers), Lung Cancer Diagnosis and Treatment (8 papers), Emergency and Acute Care Studies (7 papers), Heart Failure Treatment and Management (6 papers) and Pneumonia and Respiratory Infections (6 papers). The work is most often cited by research in Parasitology (108 citations), Emergency Medicine (128 citations), Rehabilitation (86 citations), Pulmonary and Respiratory Medicine (410 citations) and Endocrinology, Diabetes and Metabolism (197 citations). Yan Jin has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Peter A. Cattini, Thomas J. Marrie, Hude Quan, David H. Johnson, Dean T. Eurich, Jennie Johnstone, Sumit R. Majumdar, Keumhee C. Carrière, Yuan Li and Haiquan Chen. Their work appears in journals such as Scientific Reports, Journal of Thoracic Oncology, Journal of Biological Chemistry, Molecular and Cellular Endocrinology and Canadian Journal of 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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