Ming Gui
Impact in
- Immunology top 1%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Immunodeficiency and Autoimmune Disorders
- Parasitology top 5%
Papers in
- Immunology 16
- Immune Cell Function and Interaction 10
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 4
- Co-authors
- Kyoko Hayakawa (9 shared papers)Richard R. Hardy (6 shared papers)Masanao Asano (4 shared papers)Mitchell Kronenberg (3 shared papers)Nicolas Burdin (3 shared papers)Laurent Brossay (3 shared papers)David Allman (3 shared papers)Susan A. Shinton (2 shared papers)
- Journals
- The Journal of Immunology (4 papers)Immunological Reviews (2 papers)Age and Ageing (1 paper)Journal of Helminthology (1 paper)Biochemical Pharmacology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ming Gui
46 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 105
- Immunology 1.6k
- Parasitology 76
- Oncology 283
- Hematology 93
- Cancer Research 110
Countries citing papers authored by Ming Gui
This map shows the geographic impact of Ming 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 Ming Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Gui more than expected).
Fields of papers citing papers by Ming Gui
This network shows the impact of papers produced by Ming 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 Ming Gui. The network helps show where Ming Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 482 | |
| 2 | Selective ability of mouse CD1 to present glycolipids: alpha-galactosylceramide specifically stimulates V alpha 14+ NK T lymphocytes. | 1998 | 361 |
| 3 | 1998 | 317 | |
| 4 | 2000 | 134 | |
| 5 | 2003 | 112 | |
| 6 | 2009 | 106 | |
| 7 | 2002 | 105 | |
| 8 | 2000 | 76 | |
| 9 | 1995 | 74 | |
| 10 | 2014 | 55 | |
| 11 | 1994 | 51 | |
| 12 | 2001 | 45 | |
| 13 | 1995 | 35 | |
| 14 | 2018 | 33 | |
| 15 | 1991 | 33 | |
| 16 | 2014 | 31 | |
| 17 | Clinical significance of interleukin-32 expression in patients with rheumatoid arthritis. | 2013 | 27 |
| 18 | 1991 | 27 | |
| 19 | 2010 | 24 | |
| 20 | 2022 | 21 |
About Ming Gui
Ming Gui is a scholar working on Immunology, Molecular Biology, Rheumatology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 52 papers that have together received 2.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), T-cell and B-cell Immunology (9 papers), Systemic Lupus Erythematosus Research (5 papers), Immunotherapy and Immune Responses (4 papers), Parasites and Host Interactions (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Vitamin D Research Studies (3 papers) and Parasite Biology and Host Interactions (3 papers). The work is most often cited by research in Immunology (1.6k citations), Parasitology (76 citations), Oncology (283 citations), Hematology (93 citations) and Cancer Research (110 citations). Ming Gui has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Kyoko Hayakawa, Richard R. Hardy, Masanao Asano, Mitchell Kronenberg, Nicolas Burdin, Laurent Brossay, David Allman, Susan A. Shinton, Yasuhiko Koezuka and Stephen T. Smiley. Their work appears in journals such as The Journal of Immunology, Immunological Reviews, Age and Ageing, Journal of Helminthology and Biochemical Pharmacology.
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.