Haijun Wei

670 citations
32 papers · 471 · h-index 11

Impact in

Papers in

Haijun Wei

29 papers receiving 469 citations

Peers

Haijun Wei
Comparison fields: 5 of 81
  • Biochemistry 198
  • Biological Psychiatry 42
  • Endocrine and Autonomic Systems 71
  • Behavioral Neuroscience 15
  • Physiology 106
Replace Gabriella Horváth with:
Gabriella Horváth Canada
Toshiyuki Matsuoka Japan
Solomon H. Snyder United States
Bashayer Al‐Mubarak Saudi Arabia
Igor Y. Iskusnykh United States
Denis van Beurden Netherlands
Taichi Ueshima Japan
Timothy Strassmaier United States
Kristen M. Berendzen United States
Dhruba Pathak United States
Haijun Wei relative to Gabriella Horváth Canada Gabriella Horváth's profile →
Citations per field
00.5×4.4×
Gabriella Horváth · 1×
Citations per year

Countries citing papers authored by Haijun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201563
2 201461
3 201750
4 201444
5 200638
6 201637
7 201927
8 201924
9 201723
10 201822
11 201715
12 201710
13 20219
14 20219
15 20199
16 20156
17 20185
18 20213
19 20173
20 20213

About Haijun Wei

Haijun Wei is a scholar working on Biochemistry, Rheumatology, Molecular Biology, Public Health, Environmental and Occupational Health and Physiology, having authored 32 papers that have together received 471 indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (10 papers), Folate and B Vitamins Research (6 papers), Biochemical effects in animals (4 papers), Reproductive Biology and Fertility (4 papers), Reproductive System and Pregnancy (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Vascular Procedures and Complications (2 papers) and Selenium in Biological Systems (2 papers). The work is most often cited by research in Biochemistry (198 citations), Biological Psychiatry (42 citations), Endocrine and Autonomic Systems (71 citations), Behavioral Neuroscience (15 citations) and Physiology (106 citations). Haijun Wei has collaborated with scholars based in China, South Korea and New Zealand. Frequent co-authors include Xiao‐Qing Tang, Wei Zou, Xiang Li, Ping Zhang, Juan Yuan, Manhong Li, Hong‐Feng Gu, Chunyan Wang, Yiyun Tang and Ying Tian. Their work appears in journals such as Behavioural Brain Research, International Journal of Molecular Sciences, Toxicology and Industrial Health, Scientific Reports and Neurochemical Research.

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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