Junjun Wang

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

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Extracellular vesicles in disease
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation

Papers in

    • Circular RNAs in diseases 12
    • Extracellular vesicles in disease 11
    • RNA modifications and cancer 7
    • Epigenetics and DNA Methylation 3
    • MicroRNA in disease regulation 22
    • Cancer-related molecular mechanisms research 9

Junjun Wang

78 papers receiving 2.4k citations

Peers

Junjun Wang
Comparison fields: 5 of 113
  • Cancer Research 1.2k
  • Molecular Biology 1.3k
  • Reproductive Medicine 124
  • Biochemistry 50
  • Immunology 146
Replace Jing Zhu with:
Jing Zhu China
F. Bonilla Spain
Qiangsong Tong China
Li Sun China
Jorge Meléndez-Zajgla Mexico
Li Deng China
Marianna Prokopi United Kingdom
Li Yin China
Qishan Chen China
Junjun Wang relative to Jing Zhu China Jing Zhu's profile →
Citations per field
00.5×3.5×
Jing Zhu · 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 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010261
2 2011220
3 2012161
4 2015113
5 2013104
6 201493
7 201692
8 201387
9 201575
10 201674
11 202072
12 202064
13 201657
14 201755
15 201754
16 200846
17 200145
18 202234
19 201833
20 201732

About Junjun Wang

Junjun Wang is a scholar working on Molecular Biology, Cancer Research, Surgery, Immunology and Oncology, having authored 82 papers that have together received 2.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (22 papers), Circular RNAs in diseases (12 papers), Extracellular vesicles in disease (11 papers), Cancer-related molecular mechanisms research (9 papers), Lipoproteins and Cardiovascular Health (7 papers), RNA modifications and cancer (7 papers), Epigenetics and DNA Methylation (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (1.3k citations), Reproductive Medicine (124 citations), Biochemistry (50 citations) and Immunology (146 citations). Junjun Wang has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Cheng Wang, Chen‐Yu Zhang, Ke Zen, Xi Chen, Jia Wu, Jiaxi Song, Cuihua Yang, Yonghui Shi, Yang Chen and Xiaojun Zhou. 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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