Junnan Hu

1.5k citations
55 papers · 1.2k · h-index 20

Impact in

Papers in

Junnan Hu

52 papers receiving 1.2k citations

Peers

Junnan Hu
Comparison fields: 5 of 118
  • Pharmacology 326
  • Pathology and Forensic Medicine 209
  • Complementary and alternative medicine 65
  • Molecular Biology 524
  • Fluid Flow and Transfer Processes 43
Replace Guohua Yu with:
Guohua Yu China
Syed Kazim Hasan India
Yaoxing Dou China
Jingjing Lu China
Yanqing Song China
Mitsuhiko Miyamura Japan
Jae Ho Choi South Korea
Shoubao Wang China
Kathy K. W. Au-Yeung Hong Kong
Kailin Yang China
Junnan Hu relative to Guohua Yu China Guohua Yu's profile →
Citations per field
00.5×7.5×
Guohua Yu · 1×
Citations per year

Countries citing papers authored by Junnan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Junnan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201889
2 201785
3 201783
4 202075
5 201965
6 201863
7 201963
8 201762
9 201752
10 202050
11 202336
12 202234
13 201831
14 202028
15 201728
16 202227
17 202426
18 202225
19 202223
20 202319

About Junnan Hu

Junnan Hu is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Pharmacology, Computational Mechanics and Cardiology and Cardiovascular Medicine, having authored 55 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chemotherapy-induced organ toxicity mitigation (12 papers), Ginseng Biological Effects and Applications (9 papers), Drug-Induced Hepatotoxicity and Protection (8 papers), Combustion and flame dynamics (7 papers), Advanced Combustion Engine Technologies (6 papers), Pharmacological Effects of Natural Compounds (5 papers), Combustion and Detonation Processes (4 papers) and Chemotherapy-induced cardiotoxicity and mitigation (4 papers). The work is most often cited by research in Pharmacology (326 citations), Pathology and Forensic Medicine (209 citations), Complementary and alternative medicine (65 citations), Molecular Biology (524 citations) and Fluid Flow and Transfer Processes (43 citations). Junnan Hu has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Zi Wang, Ying‐Ping Wang, Wei Li, Shen Ren, Chen Chen, Jingang Hou, Xingyue Xu, Shuang Jiang, Zi Wang and Wencong Liu. Their work appears in journals such as The American Journal of Chinese Medicine, Journal of Agricultural and Food Chemistry, Phytomedicine, Journal of Ethnopharmacology and Journal of Functional Foods.

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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