Jin Hu

789 citations
40 papers · 606 · h-index 16

Impact in

    • Traditional Chinese Medicine Analysis
    • Plant Stress Responses and Tolerance
    • Mycotoxins in Agriculture and Food
    • Plant-Microbe Interactions and Immunity
    • Plant Parasitism and Resistance
    • Plant Molecular Biology Research

Papers in

Jin Hu

37 papers receiving 601 citations

Peers

Jin Hu
Comparison fields: 5 of 94
  • Complementary and alternative medicine 67
  • Plant Science 197
  • Geriatrics and Gerontology 20
  • Aging 8
  • Biochemistry 21
Replace Yeer Liang with:
Yeer Liang Macao
Yan‐Der Hsuuw Taiwan
Kun Yeong Lee South Korea
Hyekyung Yang South Korea
Ju Ri Ham South Korea
Chun Xiao China
Yiqi Yang China
Jin Hu relative to Yeer Liang Macao Yeer Liang's profile →
Citations per field
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Yeer Liang · 1×
Citations per year

Countries citing papers authored by Jin Hu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201954
2 201746
3 201843
4 201543
5 202142
6 201640
7 201636
8 201633
9 201631
10 201531
11 201526
12 201625
13 201523
14 201719
15 202218
16 202317
17 201513
18 20169
19 20228
20 20186

About Jin Hu

Jin Hu is a scholar working on Molecular Biology, Plant Science, Electrical and Electronic Engineering, Complementary and alternative medicine and Genetics, having authored 40 papers that have together received 606 indexed citations. Recurring topics across this work include Advanced DC-DC Converters (6 papers), Traditional Chinese Medicine Analysis (6 papers), Neurobiology and Insect Physiology Research (5 papers), Plant Stress Responses and Tolerance (4 papers), Insect and Arachnid Ecology and Behavior (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Multilevel Inverters and Converters (3 papers) and Mycotoxins in Agriculture and Food (3 papers). The work is most often cited by research in Complementary and alternative medicine (67 citations), Plant Science (197 citations), Geriatrics and Gerontology (20 citations), Aging (8 citations) and Biochemistry (21 citations). Jin Hu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Meng Mei, Ronghui Han, Meili Lü, Futian Tang, Hongxin Wang, Yajing Guan, Yinxue Xu, Cheng Xiao, Zhan Li and Jianyu An. Their work appears in journals such as Scientific Reports, Environmental Science and Pollution Research, International Journal of Molecular Sciences, International Immunopharmacology and Journal of Clinical Oncology.

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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