Jun Wang

8.5k total citations · 1 hit paper
269 papers, 6.3k citations indexed

About

Jun Wang is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Jun Wang has authored 269 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 72 papers in Oncology and 61 papers in Cancer Research. Recurrent topics in Jun Wang's work include Cancer, Lipids, and Metabolism (20 papers), Breast Cancer Treatment Studies (16 papers) and Epigenetics and DNA Methylation (16 papers). Jun Wang is often cited by papers focused on Cancer, Lipids, and Metabolism (20 papers), Breast Cancer Treatment Studies (16 papers) and Epigenetics and DNA Methylation (16 papers). Jun Wang collaborates with scholars based in China, United States and Japan. Jun Wang's co-authors include Natsuo Ueda, Hau C. Kwaan, Coral A. Lamartiniere, Wei Xu, Lan Tan, Jieqiong Li, Hui-Fu Wang, Lin Tan, Meng‐Shan Tan and Teng Jiang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Jun Wang

256 papers receiving 6.2k citations

Hit Papers

Meta-analysis of modifiable risk factors for Alzheimer's ... 2015 2026 2018 2022 2015 100 200 300 400

Peers

Jun Wang
Comparison fields: 5 of 167
  • Molecular Biology 2.2k
  • Oncology 1.2k
  • Cancer Research 1.1k
  • Pulmonary and Respiratory Medicine 841
  • Pathology and Forensic Medicine 808
Replace Yang Li with:
Yang Li China
Sohita Dhillon New Zealand
Jie Chen China
Hao Liu China
Christina Piperi Greece
Edward R. Sauter United States
Kathleen M. Egan United States
Zhengyuan Xia China
Min Yang China
Riccardo Riccardi Italy
Yang Li China View profile →
Citations per field, relative to Jun Wang
Jun Wang · 1×
Citations per year, relative to Jun Wang
Jun Wang · 1×

Countries citing papers authored by Jun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wang. A scholar is included among the top collaborators of Jun Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Wang. Jun Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 3
3 1
4 9
5 11
6 28
7 3
8 16
9 7
10 5
11 22
12
The effects of musk on HER2, VEGF and tumor markers in human gastric cancer cell lines
2
13 28
14 3
15 43
16
[Clinical analysis of 24 cases of esophageal carcinosarcoma].
1
17 126
18 12
19 25
20 32

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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