Junnan Wang

1.8k citations
85 papers · 1.3k · h-index 23

Impact in

Papers in

Junnan Wang

82 papers receiving 1.3k citations

Peers

Junnan Wang
Comparison fields: 5 of 138
  • Cancer Research 209
  • Geriatrics and Gerontology 30
  • Molecular Biology 500
  • Cardiology and Cardiovascular Medicine 129
  • Pulmonary and Respiratory Medicine 130
Replace Rachel Cavill with:
Rachel Cavill Netherlands
Hu Hu China
Na Wang China
Jinhua Wang China
Simon Kennedy United Kingdom
Mingqi Li China
Jianyu Feng China
Yuehui Zhang China
Teresa Infante Italy
Tiejun Li China
Junnan Wang relative to Rachel Cavill Netherlands Rachel Cavill's profile →
Citations per field
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Rachel Cavill · 1×
Citations per year

Countries citing papers authored by Junnan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Junnan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201875
2 201971
3 202051
4 201046
5 202446
6 202145
7 201845
8 201838
9 202236
10 202232
11 201632
12 202132
13 201732
14 201731
15 202031
16 201331
17 201531
18 202030
19 201830
20 201629

About Junnan Wang

Junnan Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Electrical and Electronic Engineering, Cancer Research and Pulmonary and Respiratory Medicine, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (5 papers), Network Security and Intrusion Detection (5 papers), Genomics, phytochemicals, and oxidative stress (4 papers), MicroRNA in disease regulation (4 papers), Laser Material Processing Techniques (4 papers) and Extracellular vesicles in disease (4 papers). The work is most often cited by research in Cancer Research (209 citations), Geriatrics and Gerontology (30 citations), Molecular Biology (500 citations), Cardiology and Cardiovascular Medicine (129 citations) and Pulmonary and Respiratory Medicine (130 citations). Junnan Wang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Youyou Yan, Junduo Wu, Bin Liu, Chao Qi, Hao Wu, Dandan Song, Ye Jia, Longbo Li, Huan Zhang and Wenlin Huang. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Frontiers in Pharmacology, Multimedia Tools and Applications, BMJ Open and Biomarkers in Medicine.

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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