Haijun Li

996 citations
42 papers · 783 · h-index 16

Impact in

Papers in

Haijun Li

42 papers receiving 770 citations

Peers

Haijun Li
Comparison fields: 5 of 98
  • Reproductive Medicine 101
  • Public Health, Environmental and Occupational Health 157
  • Cancer Research 75
  • Ophthalmology 39
  • Endocrine and Autonomic Systems 29
Replace Tianyuan Wang with:
Tianyuan Wang United States
Chen Xie China
Kelwyn Thomas United States
Kai Miao China
Nelson Hsia United States
Greta Caprara Italy
M. Kéramidas France
Suresh Selvaraj India
Yiru Wang China
Yunfan Zhang China
Haijun Li relative to Tianyuan Wang United States Tianyuan Wang's profile →
Citations per field
00.5×5.8×
Tianyuan Wang · 1×
Citations per year

Countries citing papers authored by Haijun Li

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015134
2 201685
3 200850
4 201748
5 201544
6 200829
7 202129
8 202229
9 201226
10 201524
11 202023
12 201323
13 201222
14 202320
15 201317
16 201315
17 201414
18 202312
19 202212
20 202312

About Haijun Li

Haijun Li is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Reproductive Medicine, Epidemiology and Immunology, having authored 42 papers that have together received 783 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (6 papers), Sperm and Testicular Function (5 papers), Hepatitis B Virus Studies (3 papers), RNA Interference and Gene Delivery (3 papers), Connexins and lens biology (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Electrochemical sensors and biosensors (3 papers) and Adipose Tissue and Metabolism (2 papers). The work is most often cited by research in Reproductive Medicine (101 citations), Public Health, Environmental and Occupational Health (157 citations), Cancer Research (75 citations), Ophthalmology (39 citations) and Endocrine and Autonomic Systems (29 citations). Haijun Li has collaborated with scholars based in China, Indonesia and Hong Kong. Frequent co-authors include Dianxing Sun, Fubiao Kang, Dong Li, Wang Ling, X. Wang, Melanie L. Sutton‐McDowall, Satoshi Sugimura, Robert B. Gilchrist, Jeremy G. Thompson and Liyun Ding. Their work appears in journals such as Theriogenology, Cellular Oncology, Investigative Ophthalmology & Visual Science, IEEE Sensors Journal and Applied Microbiology and Biotechnology.

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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