Jin Chai

1.9k citations
65 papers · 1.1k · h-index 18

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Liver Diseases and Immunity
    • Liver Disease and Transplantation
    • Drug-Induced Hepatotoxicity and Protection

Papers in

    • Liver Diseases and Immunity 7
    • Drug Transport and Resistance Mechanisms 19

Jin Chai

60 papers receiving 1.1k citations

Peers

Jin Chai
Comparison fields: 5 of 89
  • Hepatology 243
  • Pharmacology 109
  • Oncology 278
  • Epidemiology 284
  • Immunology 113
Replace Mehmet Yalnız with:
Mehmet Yalnız Türkiye
Qing Pang China
Junichi Iwamoto Japan
Dimitrios E. Giakoustidis Greece
Petra Windmolders Belgium
Keishi Kanno Japan
Eagle S.H. Chu Hong Kong
Natalia Rosso Italy
Tomoki Nakajima Japan
Man Li China
Jin Chai relative to Mehmet Yalnız Türkiye Mehmet Yalnız's profile →
Citations per field
00.5×2×4×6.8×
Mehmet Yalnız · 1×
Citations per year

Countries citing papers authored by Jin Chai

Since Specialization
Citations

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

Fields of papers citing papers by Jin Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021148
2 201883
3 201176
4 201256
5 201554
6 202040
7 202140
8 201539
9 201839
10 201139
11 202338
12
Oral administration of oleanolic acid, isolated from Swertia mussotii Franch, attenuates liver injury, inflammation, and cholestasis in bile duct-ligated rats.
201537
13 202329
14 202329
15 201928
16 202328
17 201526
18 201619
19 201718
20 202218

About Jin Chai

Jin Chai is a scholar working on Hepatology, Oncology, Epidemiology, Immunology and Surgery, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (19 papers), Liver Disease Diagnosis and Treatment (15 papers), Sugarcane Cultivation and Processing (7 papers), Liver Diseases and Immunity (7 papers), Biofuel production and bioconversion (5 papers), Plant Disease Resistance and Genetics (5 papers), Pediatric Hepatobiliary Diseases and Treatments (5 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Hepatology (243 citations), Pharmacology (109 citations), Oncology (278 citations), Epidemiology (284 citations) and Immunology (113 citations). Jin Chai has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Wensheng Chen, Liangjun Zhang, Shifang Peng, Xin Ni, Huiwen Wang, Lei Fu, Rongquan Wang, Sheng Chen, Qiaoling Xie and Huaizhi Wang. Their work appears in journals such as Hepatology, Journal of Hepatology, Liver Research, Materials & Design and International Journal of Molecular Sciences.

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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