Jun Wei
Impact in
- Biological Psychiatry top 1%
- Tryptophan and brain disorders
- Psychiatry and Mental health top 2%
- Schizophrenia research and treatment
Papers in
-
- Schizophrenia research and treatment 60
- Genetics 25
- Genetic Associations and Epidemiology 15
- BRCA gene mutations in cancer 9
- Co-authors
- Gwynneth P. Hemmings (27 shared papers)Maurizio Pellecchia (20 shared papers)Haimin Xu (3 shared papers)John C. Reed (11 shared papers)Shinichi Kitada (8 shared papers)Dayong Zhai (8 shared papers)William J. Placzek (6 shared papers)C.N. Ramchand (9 shared papers)
- Journals
- Schizophrenia Research (14 papers)Psychiatric Genetics (10 papers)Prostaglandins Leukotrienes and Essential Fatty Acids (6 papers)American Journal of Medical Genetics Part B Neuropsychiatric Genetics (6 papers)The Prostate (5 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Wei
176 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 117
- Biological Psychiatry 175
- Psychiatry and Mental health 730
- Aging 45
- Molecular Biology 1.2k
- Obstetrics and Gynecology 168
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 180 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 356 | |
| 2 | 2010 | 254 | |
| 3 | 2014 | 176 | |
| 4 | 2011 | 172 | |
| 5 | 2013 | 172 | |
| 6 | 2005 | 166 | |
| 7 | 2000 | 146 | |
| 8 | 2015 | 121 | |
| 9 | 2011 | 111 | |
| 10 | 2010 | 107 | |
| 11 | 2016 | 82 | |
| 12 | 2004 | 67 | |
| 13 | 1996 | 57 | |
| 14 | 2009 | 56 | |
| 15 | 1994 | 53 | |
| 16 | 2021 | 53 | |
| 17 | 2009 | 49 | |
| 18 | 1998 | 48 | |
| 19 | 1999 | 48 | |
| 20 | 2011 | 48 |
About Jun Wei
Jun Wei is a scholar working on Psychiatry and Mental health, Genetics, Molecular Biology, Pulmonary and Respiratory Medicine and Gastroenterology, having authored 180 papers that have together received 4.4k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (60 papers), Genetic Associations and Epidemiology (15 papers), Cell death mechanisms and regulation (15 papers), BRCA gene mutations in cancer (9 papers), Prostate Cancer Treatment and Research (7 papers), Lung Cancer Research Studies (6 papers), Prostate Cancer Diagnosis and Treatment (6 papers) and Celiac Disease Research and Management (5 papers). The work is most often cited by research in Biological Psychiatry (175 citations), Psychiatry and Mental health (730 citations), Aging (45 citations), Molecular Biology (1.2k citations) and Obstetrics and Gynecology (168 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, Prostaglandins Leukotrienes and Essential Fatty Acids, American Journal of Medical Genetics Part B Neuropsychiatric Genetics 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.