Cheng Jun Jin

1.4k citations
30 papers · 1.2k · h-index 20

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 22
    • Diet and metabolism studies 15
    • Biochemical effects in animals 2

Cheng Jun Jin

30 papers receiving 1.1k citations

Peers

Cheng Jun Jin
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 357
  • Epidemiology 645
  • Physiology 462
  • Biological Psychiatry 43
  • Hepatology 96
Replace Anna Janina Engstler with:
Anna Janina Engstler Germany
Anna Iacono Italy
Cathrin Sellmann Germany
Christopher Q. Rogers United States
Giridhar Kanuri Germany
Eric M. Desjardins Canada
Laura A. Velázquez‐Villegas Mexico
Marie‐Soleil Gauthier Canada
Alanna Fernandes Paraíso Brazil
S. Lambert-Porcheron France
Cheng Jun Jin relative to Anna Janina Engstler Germany Anna Janina Engstler's profile →
Citations per field
00.5×1.5×1.9×
Anna Janina Engstler · 1×
Citations per year

Countries citing papers authored by Cheng Jun Jin

Since Specialization
Citations

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

Fields of papers citing papers by Cheng Jun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015153
2 2015117
3 2015103
4 201991
5 201686
6 201663
7 201645
8 200844
9 202044
10 201739
11 201737
12 200836
13 201735
14 201934
15 201633
16 201828
17 202028
18 201527
19 202123
20 202123

About Cheng Jun Jin

Cheng Jun Jin is a scholar working on Epidemiology, Physiology, Endocrinology, Diabetes and Metabolism, Molecular Biology and Hepatology, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (22 papers), Diet, Metabolism, and Disease (16 papers), Diet and metabolism studies (15 papers), Gut microbiota and health (4 papers), Liver Disease and Transplantation (3 papers), Alcohol Consumption and Health Effects (2 papers), Biochemical effects in animals (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (357 citations), Epidemiology (645 citations), Physiology (462 citations), Biological Psychiatry (43 citations) and Hepatology (96 citations). Cheng Jun Jin has collaborated with scholars based in Germany, Austria and France. Frequent co-authors include Ina Bergheim, Cathrin Sellmann, Anna Janina Engstler, Annette Brandt, Doreen Ziegenhardt, Anika Nier, Christian Degen, Anja Baumann, Marianne Landmann and Josephine Priebs. Their work appears in journals such as Scientific Reports, Nutrients, Journal of Nutrition, European Journal of Nutrition and Redox Biology.

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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