Jiang Gui
Impact in
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
- Colorectal Cancer Screening and Detection
- Statistics and Probability top 2%
- Statistical Methods and Inference
Papers in
-
- Posttraumatic Stress Disorder Research 9
- Suicide and Self-Harm Studies 5
-
- Gene expression and cancer classification 13
- Bioinformatics and Genomic Networks 7
- Co-authors
- Hongzhe Li (5 shared papers)Margaret Rita Karagas (29 shared papers)Marc S. Ernstoff (9 shared papers)Jason H. Moore (13 shared papers)Brian R. Shiner (20 shared papers)Angeline S. Andrew (14 shared papers)Richard C. Chou (2 shared papers)Karl T. Kelsey (9 shared papers)
- Journals
- PLoS ONE (9 papers)Scientific Reports (7 papers)Clinical Cancer Research (4 papers)BioData Mining (4 papers)Neuro-Oncology (3 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jiang Gui
145 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 173
- Oncology 658
- Statistics and Probability 214
- Cancer Research 302
- Immunology 436
- Genetics 206
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 | 419 | |
| 2 | 2016 | 156 | |
| 3 | 2011 | 151 | |
| 4 | 2009 | 139 | |
| 5 | 2011 | 125 | |
| 6 | 2005 | 122 | |
| 7 | 2021 | 114 | |
| 8 | 2004 | 110 | |
| 9 | 2010 | 101 | |
| 10 | 2010 | 86 | |
| 11 | 2009 | 84 | |
| 12 | 2013 | 77 | |
| 13 | 2008 | 71 | |
| 14 | 2010 | 68 | |
| 15 | 2018 | 67 | |
| 16 | 2012 | 66 | |
| 17 | 2012 | 66 | |
| 18 | 2014 | 65 | |
| 19 | 2014 | 65 | |
| 20 | 2020 | 63 |
About Jiang Gui
Jiang Gui is a scholar working on Clinical Psychology, Molecular Biology, Genetics, Radiology, Nuclear Medicine and Imaging and Health, Toxicology and Mutagenesis, having authored 158 papers that have together received 4.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (13 papers), Genetic Associations and Epidemiology (12 papers), Posttraumatic Stress Disorder Research (9 papers), Optical Imaging and Spectroscopy Techniques (8 papers), Bioinformatics and Genomic Networks (7 papers), Amyotrophic Lateral Sclerosis Research (6 papers), Immunotherapy and Immune Responses (6 papers) and Suicide and Self-Harm Studies (5 papers). The work is most often cited by research in Oncology (658 citations), Statistics and Probability (214 citations), Cancer Research (302 citations), Immunology (436 citations) and Genetics (206 citations). Jiang Gui has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Hongzhe Li, Margaret Rita Karagas, Marc S. Ernstoff, Jason H. Moore, Brian R. Shiner, Angeline S. Andrew, Richard C. Chou, Karl T. Kelsey, Camilo E. Fadul and Thomas H. Hampton. Their work appears in journals such as PLoS ONE, Scientific Reports, Clinical Cancer Research, BioData Mining and Neuro-Oncology.
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.