Jun Wei
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Behavioral Neuroscience top 5%
Papers in
-
- Cell death mechanisms and regulation 14
- RNA Research and Splicing 7
- Cancer-related gene regulation 7
- Genetics 32
- Genetic Associations and Epidemiology 11
- Genetics and Neurodevelopmental Disorders 11
- Co-authors
- G.P. Hemmings (26 shared papers)Maurizio Pellecchia (22 shared papers)Haimin Xu (3 shared papers)John C. Reed (12 shared papers)Shinichi Kitada (9 shared papers)William J. Placzek (8 shared papers)C.N. Ramchand (9 shared papers)Dayong Zhai (8 shared papers)
- Journals
- Schizophrenia Research (9 papers)Psychiatric Genetics (7 papers)American Journal of Medical Genetics Part B Neuropsychiatric Genetics (6 papers)Prostaglandins Leukotrienes and Essential Fatty Acids (6 papers)The Prostate (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Wei
167 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 131
- Biological Psychiatry 245
- Behavioral Neuroscience 94
- Molecular Biology 1.7k
- Genetics 625
- Obstetrics and Gynecology 147
Countries citing papers authored by Jun Wei
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
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.
All Works
Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 349 | |
| 2 | 2010 | 242 | |
| 3 | 2014 | 175 | |
| 4 | 2005 | 156 | |
| 5 | 2000 | 140 | |
| 6 | 2015 | 115 | |
| 7 | 2011 | 109 | |
| 8 | 2010 | 103 | |
| 9 | 2016 | 79 | |
| 10 | 2004 | 59 | |
| 11 | 1996 | 57 | |
| 12 | 2009 | 55 | |
| 13 | 1994 | 53 | |
| 14 | 2021 | 49 | |
| 15 | 2015 | 48 | |
| 16 | 2011 | 48 | |
| 17 | 1999 | 48 | |
| 18 | 2009 | 46 | |
| 19 | 1998 | 45 | |
| 20 | 2011 | 41 |
About Jun Wei
Jun Wei is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 172 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (14 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Genetic Associations and Epidemiology (11 papers), Genetics and Neurodevelopmental Disorders (11 papers), Tryptophan and brain disorders (11 papers), RNA Research and Splicing (7 papers), Immunotherapy and Immune Responses (7 papers) and Cancer-related gene regulation (7 papers). The work is most often cited by research in Biological Psychiatry (245 citations), Behavioral Neuroscience (94 citations), Molecular Biology (1.7k citations), Genetics (625 citations) and Obstetrics and Gynecology (147 citations). Jun Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include G.P. Hemmings, Maurizio Pellecchia, Haimin Xu, John C. Reed, Shinichi Kitada, William J. Placzek, C.N. Ramchand, Dayong Zhai, 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.