Wei Jin

3.4k citations
75 papers · 2.6k · 1 hit paper · h-index 29

Impact in

  • Software top 1%
    • Software Testing and Debugging Techniques
    • Software Reliability and Analysis Research
  • Virology top 5%

Papers in

    • RNA Interference and Gene Delivery 8
    • Circular RNAs in diseases 7
    • MicroRNA in disease regulation 9
    • Cancer-related molecular mechanisms research 8

Wei Jin

73 papers receiving 2.6k citations

Wei Jin's Hit Papers

The contributions of sex, genotype and age to transcriptional variance in Drosophila melanogaster 2001 · 521 citations
5210+8+16Years since publication100200300400500

Peers

Wei Jin
Comparison fields: 5 of 133
  • Software 332
  • Virology 155
  • Cancer Research 383
  • Aging 34
  • Molecular Biology 1.3k
Replace Étienne Gagnon with:
Étienne Gagnon Canada
Guangpu Li United States
Gargi Dasgupta United States
Qi Zhao China
Claudio Lottaz Germany
Andrew P. Rice United States
Jack Greenblatt Canada
Michael D. Bond United States
Yiping Fan United States
Wei Jin relative to Étienne Gagnon Canada Étienne Gagnon's profile →
Citations per field
00.5×3.8×
Étienne Gagnon · 1×
Citations per year

Countries citing papers authored by Wei Jin

Since Specialization
Citations

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

Fields of papers citing papers by Wei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The contributions of sex, genotype and age to transcriptional variance in Drosophila melanogaster
Hit paper breakdown →
2001521
2 2015168
3 2012106
4 2019104
5 201492
6 201291
7 201767
8 201066
9 201663
10 201261
11 201856
12 201250
13 201550
14 201349
15 201646
16 201145
17 200345
18 201744
19 201643
20 201143

About Wei Jin

Wei Jin is a scholar working on Molecular Biology, Cancer Research, Software, Information Systems and Immunology, having authored 75 papers that have together received 2.6k indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (13 papers), Software Engineering Research (11 papers), MicroRNA in disease regulation (9 papers), RNA Interference and Gene Delivery (8 papers), Cancer-related molecular mechanisms research (8 papers), Circular RNAs in diseases (7 papers), Immunotherapy and Immune Responses (7 papers) and HIV Research and Treatment (7 papers). The work is most often cited by research in Software (332 citations), Virology (155 citations), Cancer Research (383 citations), Aging (34 citations) and Molecular Biology (1.3k citations). Wei Jin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Alessandro Orso, Rebecca M. Riley, Greg Gibson, Kun Cheng, Kevin P. White, Russell D. Wolfinger, Ashutosh Barve, Qinxue Hu, Xiang Fei and Yan Song. Their work appears in journals such as The Journal of Immunology, Virology, Molecular Pharmaceutics, Journal of General Virology and Journal of Controlled Release.

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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