Jiang Gui
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Statistics and Probability top 2%
- Statistical Methods and Inference
Papers in
-
- Gene expression and cancer classification 13
- Bioinformatics and Genomic Networks 6
- Gut microbiota and health 5
- Epigenetics and DNA Methylation 5
-
- Posttraumatic Stress Disorder Research 9
- Co-authors
- Hongzhe Li (5 shared papers)Margaret R. Karagas (30 shared papers)Marc S. Ernstoff (9 shared papers)Jason H. Moore (13 shared papers)Angeline S. Andrew (14 shared papers)Brian Shiner (20 shared papers)Karl T. Kelsey (9 shared papers)Richard C. Chou (2 shared papers)
- Journals
- PLoS ONE (9 papers)Scientific Reports (7 papers)Clinical Cancer Research (4 papers)BioData Mining (4 papers)The Journal of Clinical Psychiatry (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jiang Gui
143 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 171
- Oncology 624
- Statistics and Probability 212
- Immunology 415
- Cancer Research 278
- Genetics 195
Countries citing papers authored by Jiang Gui
This map shows the geographic impact of Jiang Gui'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 Jiang Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiang Gui more than expected).
Fields of papers citing papers by Jiang Gui
This network shows the impact of papers produced by Jiang Gui. 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 Jiang Gui. The network helps show where Jiang Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiang Gui, 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 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 417 | |
| 2 | 2011 | 146 | |
| 3 | 2016 | 146 | |
| 4 | 2009 | 134 | |
| 5 | 2005 | 121 | |
| 6 | 2011 | 120 | |
| 7 | 2004 | 109 | |
| 8 | 2010 | 97 | |
| 9 | 2021 | 96 | |
| 10 | 2010 | 85 | |
| 11 | 2009 | 84 | |
| 12 | 2013 | 75 | |
| 13 | 2008 | 69 | |
| 14 | 2010 | 67 | |
| 15 | 2012 | 63 | |
| 16 | 2012 | 63 | |
| 17 | 2014 | 62 | |
| 18 | 2020 | 62 | |
| 19 | 2010 | 59 | |
| 20 | 2019 | 58 |
About Jiang Gui
Jiang Gui is a scholar working on Molecular Biology, Clinical Psychology, Genetics, Radiology, Nuclear Medicine and Imaging and Health, Toxicology and Mutagenesis, having authored 158 papers that have together received 4.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (13 papers), Genetic Associations and Epidemiology (11 papers), Optical Imaging and Spectroscopy Techniques (9 papers), Posttraumatic Stress Disorder Research (9 papers), Amyotrophic Lateral Sclerosis Research (6 papers), Bioinformatics and Genomic Networks (6 papers), Gut microbiota and health (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Oncology (624 citations), Statistics and Probability (212 citations), Immunology (415 citations), Cancer Research (278 citations) and Genetics (195 citations). Jiang Gui has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Hongzhe Li, Margaret R. Karagas, Marc S. Ernstoff, Jason H. Moore, Angeline S. Andrew, Brian Shiner, Karl T. Kelsey, Richard C. Chou, Thomas H. Hampton and Camilo E. Fadul. Their work appears in journals such as PLoS ONE, Scientific Reports, Clinical Cancer Research, BioData Mining and The Journal of Clinical Psychiatry.
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.