Junjun Wang

3.1k citations
79 papers · 2.5k · h-index 27

Impact in

Papers in

    • MicroRNA in disease regulation 20
    • Lipoproteins and Cardiovascular Health 23
    • Cholesterol and Lipid Metabolism 9

Junjun Wang

76 papers receiving 2.5k citations

Peers

Junjun Wang
Comparison fields: 5 of 93
  • Cancer Research 1k
  • Reproductive Medicine 187
  • Nephrology 103
  • Molecular Biology 510
  • Surgery 290
Replace Xinghui Sun with:
Xinghui Sun United States
Ju Hee Lee South Korea
Richard Damian Thompson United Kingdom
Chunhua Yu United States
Yong Gu China
Shan Li China
Regalla Kumarswamy Germany
Robert J. Frost United States
Binod Kumar Aryal United States
Xiao Zhu China
Junjun Wang relative to Xinghui Sun United States Xinghui Sun's profile →
Citations per field
00.5×2×3.1×
Xinghui Sun · 1×
Citations per year

Countries citing papers authored by Junjun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junjun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010270
2 2011230
3 2012168
4 2015118
5 2013110
6 201496
7 201696
8 201393
9 201579
10 201678
11 202075
12 202068
13 201659
14 201759
15 201756
16 200850
17 200145
18 202236
19 201233
20 201733

About Junjun Wang

Junjun Wang is a scholar working on Cancer Research, Surgery, Immunology, Rheumatology and Nephrology, having authored 79 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (23 papers), MicroRNA in disease regulation (20 papers), Atherosclerosis and Cardiovascular Diseases (13 papers), Cholesterol and Lipid Metabolism (9 papers), Extracellular vesicles in disease (6 papers), Renal Diseases and Glomerulopathies (4 papers), Lipid metabolism and disorders (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Cancer Research (1k citations), Reproductive Medicine (187 citations), Nephrology (103 citations), Molecular Biology (510 citations) and Surgery (290 citations). Junjun Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Cheng Wang, Chen‐Yu Zhang, Ke Zen, Xi Chen, Jiaxi Song, Cuihua Yang, Jia Wu, Yang Chen, Xiaojun Zhou and Yanni Zhang. Their work appears in journals such as Clinica Chimica Acta, Clinical Biochemistry, Clinical Chemistry, Frontiers in Physiology and Scientific Reports.

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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