Ge Jin

2.6k citations
98 papers · 2.1k indexed · h-index 26

Impact in

  • Immunology top 5%
    • interferon and immune responses
    • Aquaculture disease management and microbiota
    • Immune Response and Inflammation
    • Invertebrate Immune Response Mechanisms

Papers in

Ge Jin

92 papers receiving 2.1k citations

Peers

Ge Jin
Comparison fields: 5 of 142
  • Biological Psychiatry 81
  • Immunology 487
  • Neurology 118
  • Molecular Biology 724
  • Renewable Energy, Sustainability and the Environment 161
Replace Akiko Yamada with:
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Hongying Wang China
Toshinori Yoshida Japan
Lifeng Zhang China
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Weiwei Chen China
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Ge Jin relative to Akiko Yamada Japan Akiko Yamada's profile →
Citations per field
00.5×1.5×2.3×
Akiko Yamada · 1×
Citations per year

Countries citing papers authored by Ge Jin

Since Specialization
Citations

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

Fields of papers citing papers by Ge Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20238
3 20231
4 202320
5 202224
6 202124
7 202111
8 202079
9 201920
10 20180
11 20181
12 20176
13 20147
14 201439
15 201018
16
Study on tissue distribution of loureirin A and loureirin B of resina draconis in rats
20082
17 2008305
18
Pharmacokinetics and bioequivalence of candesartan cilexetic tablet and capsule in healthy volunteers
20042
19 200451
20 19932

About Ge Jin

Ge Jin is a scholar working on Biological Psychiatry, Pharmacology, Complementary and alternative medicine, Equine and Pharmacology, having authored 98 papers that have together received 2.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Cervical Cancer and HPV Research (7 papers), RNA Research and Splicing (6 papers), Natural product bioactivities and synthesis (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Cancer-related Molecular Pathways (4 papers), Ferroptosis and cancer prognosis (4 papers) and Advanced Sensor and Energy Harvesting Materials (4 papers). The work is most often cited by research in Biological Psychiatry (81 citations), Immunology (487 citations), Neurology (118 citations), Molecular Biology (724 citations) and Renewable Energy, Sustainability and the Environment (161 citations). Ge Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Libo Zou, Tianyan Chi, Xuefei Ji, Thomas R. Broker, Roger E. Bumgarner, Gary Geiss, Michael G. Katze, Ganes C. Sen, Louise T. Chow and Amir Zada. Their work appears in journals such as Journal of Clinical Oncology, Journal of Virology, Journal of Biological Chemistry, Food & Function and International Journal of Cancer.

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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