Yanjun Wang

519 citations
23 papers · 304 · h-index 8

Impact in

Papers in

Yanjun Wang

21 papers receiving 298 citations

Peers

Yanjun Wang
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 118
  • Reproductive Medicine 35
  • Clinical Biochemistry 18
  • Cardiology and Cardiovascular Medicine 43
  • Cancer Research 24
Replace Marinez O. Sousa with:
Marinez O. Sousa Brazil
Natalia Nowak Poland
Rufei Shen China
Yumei Jia China
Bahar Toptaş Türkiye
Olaf Herkert Germany
Ming-cai Qiu China
Chaosheng Lu China
Angelika Buczyńska Poland
Yen‐Bo Lin Taiwan
Yanjun Wang relative to Marinez O. Sousa Brazil Marinez O. Sousa's profile →
Citations per field
00.5×2.6×
Marinez O. Sousa · 1×
Citations per year

Countries citing papers authored by Yanjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yanjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016131
2 201241
3 201928
4 201421
5 201317
6 201712
7 201810
8 20148
9 20246
10 20216
11 20194
12 20224
13 20214
14 20233
15 20232
16
The Influencing Factors of Serum Lipids among Middle-aged Women in Northeast China.
20182
17 20171
18 20151
19 20231
20
Aldosterone downregulates delayed rectifier potassium currents through an angiotensin type 1 receptor-dependent mechanism.
20181

About Yanjun Wang

Yanjun Wang is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 23 papers that have together received 304 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diabetes Treatment and Management (3 papers), Pancreatic function and diabetes (2 papers), Cancer, Lipids, and Metabolism (2 papers), Glycosylation and Glycoproteins Research (2 papers), Lipid metabolism and disorders (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (118 citations), Reproductive Medicine (35 citations), Clinical Biochemistry (18 citations), Cardiology and Cardiovascular Medicine (43 citations) and Cancer Research (24 citations). Yanjun Wang has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Ping Han, Henan Liu, Haitao Shen, Yu Zuo Bai, Na Wu, Sheng Yang, Yueyang Zhao, Qiang Du, Bo Wu and Qiang Du. Their work appears in journals such as Frontiers in Endocrinology, Current Medical Research and Opinion, Scientific Reports, Patient Preference and Adherence and Skin Research and Technology.

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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