H. Li

93.4k citations
52 papers · 1.1k · h-index 15

Impact in

Papers in

H. Li

45 papers receiving 1.1k citations

Peers

H. Li
Comparison fields: 5 of 130
  • Clinical Biochemistry 121
  • Cellular and Molecular Neuroscience 177
  • Aging 14
  • Animal Science and Zoology 66
  • Ophthalmology 45
Replace Shu Zhang with:
Shu Zhang China
Jianshuang Li China
Peter S. Stewart United Kingdom
E. Edward Bittar United States
Shona Pedersen Denmark
Qinghua Jiang China
Anne Siegel France
Dongxue Wang China
M. A. Chaudhry United States
Ranjit Kumar Sahu United States
H. Li relative to Shu Zhang China Shu Zhang's profile →
Citations per field
00.5×7.5×
Shu Zhang · 1×
Citations per year

Countries citing papers authored by H. Li

Since Specialization
Citations

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

Fields of papers citing papers by H. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000200
2 2008165
3 200985
4 201482
5 200581
6 201380
7 201077
8 200164
9 201341
10 200534
11 201732
12 200526
13 200925
14 199922
15 200717
16 202112
17 199112
18 20109
19 19987
20 20226

About H. Li

H. Li is a scholar working on Nuclear and High Energy Physics, Molecular Biology, Electrical and Electronic Engineering, Mechanical Engineering and Biomedical Engineering, having authored 52 papers that have together received 1.1k indexed citations. Recurring topics across this work include Particle physics theoretical and experimental studies (6 papers), Particle Detector Development and Performance (5 papers), Superconducting Materials and Applications (3 papers), Neurobiology and Insect Physiology Research (2 papers), Metal Forming Simulation Techniques (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Magnetic confinement fusion research (2 papers) and Metallurgy and Material Forming (1 paper). The work is most often cited by research in Clinical Biochemistry (121 citations), Cellular and Molecular Neuroscience (177 citations), Aging (14 citations), Animal Science and Zoology (66 citations) and Ophthalmology (45 citations). H. Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Sarah Cunard Chaney, Jay Hirsh, Michael Forte, Ke Shi, Dongwoo Chang, Chao Wu, Zengli Zhao, Haitao Huang, Y. Chen and Peng Zhou. Their work appears in journals such as Current Biology, IEEE Transactions on Nuclear Science, Plasma Physics and Controlled Fusion, Engineering in Life Sciences and British Journal of Ophthalmology.

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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