Wei Jiang
Impact in
- Molecular Biology top 2%
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
Papers in
-
- Pluripotent Stem Cells Research 22
- RNA modifications and cancer 12
- Epigenetics and DNA Methylation 11
- RNA Research and Splicing 9
- CRISPR and Genetic Engineering 9
- Surgery 22
- Pancreatic function and diabetes 13
- Co-authors
- Hongkui Deng (8 shared papers)Yan Shi (7 shared papers)Donghui Zhang (11 shared papers)Yi Zhang (4 shared papers)Jeffrey Settleman (3 shared papers)Song Chen (2 shared papers)Mingxiao Ding (5 shared papers)Raffaella Sordella (2 shared papers)
- Journals
- PLoS ONE (8 papers)Stem Cell Reports (5 papers)Nature Communications (3 papers)Stem Cells (3 papers)Cell Research (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Wei Jiang
122 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 2.6k
- Cancer Research 455
- Surgery 1.1k
- Cell Biology 300
- Physiology 77
Countries citing papers authored by Wei Jiang
This map shows the geographic impact of Wei Jiang'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 Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Jiang more than expected).
Fields of papers citing papers by Wei Jiang
This network shows the impact of papers produced by Wei Jiang. 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 Jiang. The network helps show where Wei Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Jiang, 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 436 | |
| 2 | 2003 | 324 | |
| 3 | 2018 | 293 | |
| 4 | 2007 | 256 | |
| 5 | 2007 | 242 | |
| 6 | 2020 | 203 | |
| 7 | 2005 | 157 | |
| 8 | 2015 | 148 | |
| 9 | 2012 | 116 | |
| 10 | 2015 | 114 | |
| 11 | 2016 | 107 | |
| 12 | 2014 | 107 | |
| 13 | 2012 | 79 | |
| 14 | 2015 | 71 | |
| 15 | 2021 | 68 | |
| 16 | 2018 | 63 | |
| 17 | 2011 | 56 | |
| 18 | 2005 | 55 | |
| 19 | 2013 | 44 | |
| 20 | 2022 | 42 |
About Wei Jiang
Wei Jiang is a scholar working on Molecular Biology, Surgery, Cancer Research, Infectious Diseases and Genetics, having authored 129 papers that have together received 4.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (22 papers), Pancreatic function and diabetes (13 papers), Viral Infections and Vectors (13 papers), RNA modifications and cancer (12 papers), Epigenetics and DNA Methylation (11 papers), Cancer-related molecular mechanisms research (10 papers), RNA Research and Splicing (9 papers) and CRISPR and Genetic Engineering (9 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Cancer Research (455 citations), Surgery (1.1k citations), Cell Biology (300 citations) and Physiology (77 citations). Wei Jiang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Hongkui Deng, Yan Shi, Donghui Zhang, Yi Zhang, Jeffrey Settleman, Song Chen, Mingxiao Ding, Raffaella Sordella, Guang‐Chao Chen and Marcello Curto. Their work appears in journals such as PLoS ONE, Stem Cell Reports, Nature Communications, Stem Cells and Cell Research.
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.