Haijun Li

968 citations
42 papers · 755 · h-index 16

Impact in

Papers in

Haijun Li

42 papers receiving 741 citations

Peers

Haijun Li
Comparison fields: 5 of 102
  • Reproductive Medicine 112
  • Cancer Research 92
  • Public Health, Environmental and Occupational Health 164
  • Ophthalmology 43
  • Molecular Biology 323
Replace Karen Guzmán with:
Karen Guzmán United States
Kai Miao China
Tomás A. Santa‐Coloma Argentina
Tianyuan Wang United States
Kelwyn Thomas United States
Greta Caprara Italy
Nelson Hsia United States
Ebbe Toftgaard Poulsen Denmark
Suresh Selvaraj India
Miao Liu China
Haijun Li relative to Karen Guzmán United States Karen Guzmán's profile →
Citations per field
00.5×10.5×
Karen Guzmán · 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 2015131
2 201685
3 200849
4 201749
5 201543
6 200829
7 202227
8 202127
9 201226
10 201524
11 201323
12 202023
13 201222
14 201317
15 201315
16 202315
17 201414
18 202212
19 202311
20 201911

About Haijun Li

Haijun Li is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Reproductive Medicine, Immunology and Cancer Research, having authored 42 papers that have together received 755 indexed citations. Recurring topics across this work include Sperm and Testicular Function (6 papers), Reproductive Biology and Fertility (6 papers), RNA Interference and Gene Delivery (4 papers), Electrochemical sensors and biosensors (3 papers), Hepatitis B Virus Studies (3 papers), Connexins and lens biology (3 papers), Cancer-related gene regulation (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). The work is most often cited by research in Reproductive Medicine (112 citations), Cancer Research (92 citations), Public Health, Environmental and Occupational Health (164 citations), Ophthalmology (43 citations) and Molecular Biology (323 citations). Haijun Li has collaborated with scholars based in China, Indonesia and Australia. Frequent co-authors include Dianxing Sun, Fubiao Kang, Wang Ling, Dong Li, X. Wang, Jeremy G. Thompson, Robert B. Gilchrist, Melanie L. Sutton‐McDowall, Satoshi Sugimura and Liyun Ding. Their work appears in journals such as Theriogenology, IEEE Sensors Journal, Cellular Oncology, Investigative Ophthalmology & Visual Science and Veterinary Sciences.

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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