Tong Gui
Impact in
- Hematology top 5%
- Hemophilia Treatment and Research
- Blood Coagulation and Thrombosis Mechanisms
- Platelet Disorders and Treatments
-
- Virus-based gene therapy research
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 3
- CRISPR and Genetic Engineering 3
- Heme Oxygenase-1 and Carbon Monoxide 2
- Genetics 6
- Virus-based gene therapy research 6
- Co-authors
- Darrel W. Stafford (5 shared papers)Paul E. Monahan (6 shared papers)Da-Yun Jin (2 shared papers)Chihiro Nishimura (2 shared papers)Yasuo Kokai (1 shared paper)Tsuyoshi Tanimoto (1 shared paper)Thipparat Suwanmanee (3 shared papers)Tal Kafri (4 shared papers)
- Journals
- Blood (3 papers)Human Gene Therapy (1 paper)Molecular Therapy (1 paper)Biochemical and Biophysical Research Communications (1 paper)European Journal of Biochemistry (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Tong Gui
14 papers receiving 416 citations
Peers
Comparison fields: 5 of 56
- Hematology 147
- Genetics 147
- Cell Biology 74
- Genetics 34
- Oncology 71
Countries citing papers authored by Tong Gui
This map shows the geographic impact of Tong 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 Tong Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tong Gui more than expected).
Fields of papers citing papers by Tong Gui
This network shows the impact of papers produced by Tong 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 Tong Gui. The network helps show where Tong Gui may publish in the future.
Co-authors
The 25 scholars most cited alongside Tong 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
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 92 | |
| 2 | 2002 | 68 | |
| 3 | 1995 | 55 | |
| 4 | 2004 | 40 | |
| 5 | 2013 | 37 | |
| 6 | 2005 | 37 | |
| 7 | 2007 | 33 | |
| 8 | 1997 | 20 | |
| 9 | 2017 | 15 | |
| 10 | 1999 | 9 | |
| 11 | 2018 | 8 | |
| 12 | 2013 | 6 | |
| 13 | 2011 | 3 | |
| 14 | 2022 | 1 |
About Tong Gui
Tong Gui is a scholar working on Molecular Biology, Genetics, Hematology, Pediatrics, Perinatology and Child Health and Oncology, having authored 14 papers that have together received 424 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), CRISPR and Genetic Engineering (3 papers), Hemophilia Treatment and Research (2 papers), Prenatal Substance Exposure Effects (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers), Aldose Reductase and Taurine (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Hematology (147 citations), Genetics (147 citations), Cell Biology (74 citations), Genetics (34 citations) and Oncology (71 citations). Tong Gui has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Darrel W. Stafford, Paul E. Monahan, Da-Yun Jin, Chihiro Nishimura, Yasuo Kokai, Tsuyoshi Tanimoto, Thipparat Suwanmanee, Tal Kafri, David L. Straight and Maureane Hoffman. Their work appears in journals such as Blood, Human Gene Therapy, Molecular Therapy, Biochemical and Biophysical Research Communications and European Journal of Biochemistry.
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.