Jun Wang

295.0k total citations · 12 hit papers
1.9k papers, 66.2k citations indexed

About

Jun Wang is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Jun Wang has authored 1.9k papers receiving a total of 66.2k indexed citations (citations by other indexed papers that have themselves been cited), including 839 papers in Molecular Biology, 259 papers in Genetics and 256 papers in Plant Science. Recurrent topics in Jun Wang's work include Cancer-related molecular mechanisms research (114 papers), RNA modifications and cancer (113 papers) and Genomics and Phylogenetic Studies (95 papers). Jun Wang is often cited by papers focused on Cancer-related molecular mechanisms research (114 papers), RNA modifications and cancer (113 papers) and Genomics and Phylogenetic Studies (95 papers). Jun Wang collaborates with scholars based in China, United States and Denmark. Jun Wang's co-authors include Ruiqiang Li, Yingrui Li, Karsten Kristiansen, Tak‐Wah Lam, Chang Yu, Siu‐Ming Yiu, Shengting Li, Huanming Yang, Gane Ka‐Shu Wong and Xiaodong Fang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jun Wang

1.8k papers receiving 65.1k citations

Hit Papers

SOAP2: an improved ultrafast tool for short read alignment 2006 2026 2012 2019 2009 2008 2006 2009 2006 500 1000 1.5k 2.0k 2.5k

Peers

Jun Wang
Comparison fields: 5 of 227
  • Molecular Biology 34.0k
  • Plant Science 11.7k
  • Genetics 9.5k
  • Cancer Research 7.9k
  • Immunology 5.4k
Replace Michael W. Pfaffl with:
Michael W. Pfaffl Germany
Michael I. Love United States
Christian von Mering Switzerland
Simon Anders Germany
Lars Juhl Jensen Denmark
M Snyder United States
Ben Langmead United States
Trey Ideker United States
Lior Pachter United States
Cole Trapnell United States
Michael W. Pfaffl Germany 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 0
2 7
3 3
4 0
5 11
6 5
7 2
8 6
9 13
10 8
11 2
12 18
13 26
14 22
15
LncRNA HOXA11-AS Promotes Proliferation and Invasion of Gastric Cancer by Scaffolding the Chromatin Modification Factors PRC2, LSD1, and DNMT1 breakdown →
405
16
SOAPdenovo-Trans: de novo transcriptome assembly with short RNA-Seq reads breakdown →
634
17 110
18 118
19 115
20 190

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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