Chengshi Jin

4.5k total citations
77 papers, 2.8k citations indexed

About

Chengshi Jin is a scholar working on Psychiatry and Mental health, Surgery and Epidemiology. According to data from OpenAlex, Chengshi Jin has authored 77 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Psychiatry and Mental health, 12 papers in Surgery and 12 papers in Epidemiology. Recurrent topics in Chengshi Jin's work include Dementia and Cognitive Impairment Research (12 papers), HIV Research and Treatment (10 papers) and Frailty in Older Adults (10 papers). Chengshi Jin is often cited by papers focused on Dementia and Cognitive Impairment Research (12 papers), HIV Research and Treatment (10 papers) and Frailty in Older Adults (10 papers). Chengshi Jin collaborates with scholars based in United States, Australia and United Kingdom. Chengshi Jin's co-authors include Glenn M. Chertow, Kirsten L. Johansen, Nancy G. Kutner, Peter Bacchetti, Anne M. Suskind, Alan F. Lau, Kendra D. Martyn, Charles E. McCulloch, Emily Finlayson and Louise C. Walter and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Chengshi Jin

74 papers receiving 2.7k citations

Peers

Chengshi Jin
Comparison fields: 5 of 119
  • Surgery 533
  • Infectious Diseases 473
  • Nephrology 429
  • Epidemiology 401
  • Geriatrics and Gerontology 387
Replace Karissa Johnston with:
Karissa Johnston Canada
Juan J. de la Cruz Spain
Janne Petersen Denmark
Rebecca Scherzer United States
Chiara Mussi Italy
Jeanne P. Dieleman Netherlands
Yugo Shibagaki Japan
J. Edwin Atwood United States
Ingrid Kindermann Germany
Maria Grazia Modena Italy
Karissa Johnston Canada View profile →
Citations per field, relative to Chengshi Jin
Chengshi Jin · 1×
Citations per year, relative to Chengshi Jin
Chengshi Jin · 1×

Countries citing papers authored by Chengshi Jin

Since Specialization
Citations

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

Fields of papers citing papers by Chengshi Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengshi Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Chengshi Jin. A scholar is included among the top collaborators of Chengshi Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chengshi Jin. Chengshi Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 1
3 7
4 14
5 9
6 14
7 5
8 19
9 21
10 9
11 21
12 5
13 10
14 30
15 37
16 7
17 117
18 488
19 54
20 23

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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