Haijun Wang

528 citations
32 papers · 353 · h-index 13

Impact in

Papers in

Haijun Wang

31 papers receiving 348 citations

Peers

Haijun Wang
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 246
  • Genetics 102
  • Epidemiology 84
  • Surgery 82
  • Radiology, Nuclear Medicine and Imaging 36
Replace Christopher P. Cifarelli with:
Christopher P. Cifarelli United States
David Fitzpatrick Ireland
Vladislav Pavlov Russia
Juan Solivera Spain
Peter M. Schaefer United States
M.A. Muros Spain
Darko Katalinić Croatia
Cathal John Hannan United Kingdom
Hongliang Fu China
Hemen K. Parikh India
Haijun Wang relative to Christopher P. Cifarelli United States Christopher P. Cifarelli's profile →
Citations per field
00.5×
Christopher P. Cifarelli · 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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201338
2 201128
3 201525
4 202125
5 201324
6 202120
7 201720
8 202218
9 202118
10 201118
11 201015
12 201813
13
Pharmacokinetics and retinal toxicity of various doses of intravitreal triamcinolone acetonide in rabbits.
201413
14 20239
15 20229
16 20147
17 20177
18 20197
19 20186
20 20235

About Haijun Wang

Haijun Wang is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 353 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (25 papers), Adrenal and Paraganglionic Tumors (10 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Glioma Diagnosis and Treatment (8 papers), Meningioma and schwannoma management (6 papers), Head and Neck Surgical Oncology (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Ophthalmology and Eye Disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (246 citations), Genetics (102 citations), Epidemiology (84 citations), Surgery (82 citations) and Radiology, Nuclear Medicine and Imaging (36 citations). Haijun Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yonghong Zhu, Dongsheng He, Zhigang Mao, Bin Hu, Zongming Wang, Youfan Ye, Hongyang Zhao, Wenli Chen, Xintong Zhao and Zhigang Mao. Their work appears in journals such as Frontiers in Endocrinology, Pituitary, Journal of Neuro-Oncology, Journal of Organometallic Chemistry and Therapeutics and Clinical Risk Management.

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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