Jun Wei

5.4k citations
183 papers · 4.4k · h-index 33

Impact in

Papers in

    • Cell death mechanisms and regulation 14
    • Wnt/β-catenin signaling in development and cancer 8
    • RNA Research and Splicing 8
    • Cancer-related gene regulation 7
    • Genetics and Neurodevelopmental Disorders 12
    • Genetic Associations and Epidemiology 11

Jun Wei

179 papers receiving 4.3k citations

Peers

Jun Wei
Comparison fields: 5 of 134
  • Biological Psychiatry 273
  • Behavioral Neuroscience 107
  • Molecular Biology 2.0k
  • Genetics 695
  • Neurology 181
Replace Peeter Karihtala with:
Peeter Karihtala Finland
Anu Jalanko Finland
Aparna A. Kamat United States
Nicholas B. Jennings United States
Liz Y. Han United States
Bin Feng China
Clinton M. Astle United States
Elin Lehrmann United States
Peggy Pui-Kay Ho United States
Kazem Zibara Lebanon
Jun Wei relative to Peeter Karihtala Finland Peeter Karihtala's profile →
Citations per field
00.5×2×4×5.3×
Peeter Karihtala · 1×
Citations per year

Countries citing papers authored by Jun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 183 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992355
2 2010253
3 2014177
4 2011173
5 2013170
6 2005165
7 2000144
8 2015120
9 2011111
10 2010107
11 201683
12 200465
13 199657
14 200956
15 199453
16 202152
17 201149
18 199949
19 200949
20 199848

About Jun Wei

Jun Wei is a scholar working on Molecular Biology, Genetics, Biological Psychiatry, Immunology and Gastroenterology, having authored 183 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Tryptophan and brain disorders (12 papers), Genetics and Neurodevelopmental Disorders (12 papers), Genetic Associations and Epidemiology (11 papers), Wnt/β-catenin signaling in development and cancer (8 papers), RNA Research and Splicing (8 papers) and Cancer-related gene regulation (7 papers). The work is most often cited by research in Biological Psychiatry (273 citations), Behavioral Neuroscience (107 citations), Molecular Biology (2.0k citations), Genetics (695 citations) and Neurology (181 citations). Jun Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Gwynneth P. Hemmings, Maurizio Pellecchia, Haimin Xu, John C. Reed, Shinichi Kitada, Dayong Zhai, William J. Placzek, C.N. Ramchand, Bainan Wu and Ian L. Megson. Their work appears in journals such as Schizophrenia Research, Psychiatric Genetics, American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Prostaglandins Leukotrienes and Essential Fatty Acids and The Prostate.

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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