Haijun Wang

2.9k citations
118 papers · 2.3k · h-index 26

Impact in

Papers in

    • Fibroblast Growth Factor Research 9
    • Kruppel-like factors research 6
    • Circular RNAs in diseases 6
    • RNA Research and Splicing 5
    • Knee injuries and reconstruction techniques 8

Haijun Wang

113 papers receiving 2.2k citations

Peers

Haijun Wang
Comparison fields: 5 of 134
  • Genetics 276
  • Orthopedics and Sports Medicine 178
  • Cancer Research 276
  • Urology 65
  • Molecular Biology 781
Replace Frédérique Ponchel with:
Frédérique Ponchel United Kingdom
Mingjun Zhang China
Yanqiu Liu China
Zhenqiang Yao United States
T G Pretlow United States
Wenxin Song United States
Mairi Brittan United Kingdom
Dario Di Silvestre Italy
Sang Gyu Park South Korea
Haijun Wang relative to Frédérique Ponchel United Kingdom Frédérique Ponchel's profile →
Citations per field
00.5×1.5×1.8×
Frédérique Ponchel · 1×
Citations per year

Countries citing papers authored by Haijun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 118 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015259
2 2021123
3 200983
4 201581
5 202169
6 200868
7 201158
8 201757
9 200955
10 201550
11 200847
12 201446
13 201844
14 201343
15 201339
16 201738
17 201436
18 200635
19 202035
20 201934

About Haijun Wang

Haijun Wang is a scholar working on Molecular Biology, Surgery, Cancer Research, Genetics and Pulmonary and Respiratory Medicine, having authored 118 papers that have together received 2.3k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (9 papers), Knee injuries and reconstruction techniques (8 papers), Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (8 papers), Kruppel-like factors research (6 papers), Ferroptosis and cancer prognosis (6 papers), Circular RNAs in diseases (6 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Genetics (276 citations), Orthopedics and Sports Medicine (178 citations), Cancer Research (276 citations), Urology (65 citations) and Molecular Biology (781 citations). Haijun Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiaowen Huang, Tao Zhang, Xiaoyan Liu, Jun Zhang, Dahai Hu, Yunchuan Wang, Lianxu Chen, Changlong Yu, Xuelei Wei and Na Song. Their work appears in journals such as Biochemical and Biophysical Research Communications, Knee Surgery Sports Traumatology Arthroscopy, Frontiers in Pharmacology, Infection Genetics and Evolution and BMC Surgery.

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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