Xingwei Sui
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Virus-based gene therapy research
Papers in
-
- Protein Tyrosine Phosphatases 5
- Glycosylation and Glycoproteins Research 3
- Oncology 8
- Cytokine Signaling Pathways and Interactions 6
- Co-authors
- Zhizhuang Joe Zhao (8 shared papers)Sanford B. Krantz (7 shared papers)Ryuhei Tanaka (9 shared papers)Kohichiro Tsuji (9 shared papers)Yasuhiro Ebihara (9 shared papers)Min You (2 shared papers)Kiyoshi Yasukawa (5 shared papers)Tetsuya Taga (5 shared papers)
- Journals
- Blood (9 papers)British Journal of Haematology (2 papers)The Journal of Experimental Medicine (2 papers)Human Gene Therapy (1 paper)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Xingwei Sui
18 papers receiving 919 citations
Peers
Comparison fields: 5 of 64
- Hematology 331
- Genetics 200
- Immunology 336
- Oncology 428
- Physiology 143
Countries citing papers authored by Xingwei Sui
This map shows the geographic impact of Xingwei Sui'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 Xingwei Sui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingwei Sui more than expected).
Fields of papers citing papers by Xingwei Sui
This network shows the impact of papers produced by Xingwei Sui. 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 Xingwei Sui. The network helps show where Xingwei Sui may publish in the future.
Co-authors
The 25 scholars most cited alongside Xingwei Sui, 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 | 2007 | 177 | |
| 2 | 1995 | 135 | |
| 3 | 1998 | 113 | |
| 4 | 1996 | 107 | |
| 5 | 1996 | 75 | |
| 6 | 2000 | 60 | |
| 7 | 1997 | 52 | |
| 8 | 1997 | 41 | |
| 9 | 2003 | 39 | |
| 10 | 1999 | 37 | |
| 11 | 2002 | 27 | |
| 12 | 1998 | 25 | |
| 13 | 1997 | 18 | |
| 14 | 2000 | 12 | |
| 15 | 1996 | 6 | |
| 16 | 1999 | 6 | |
| 17 | 1997 | 2 | |
| 18 | 1997 | 1 |
About Xingwei Sui
Xingwei Sui is a scholar working on Molecular Biology, Oncology, Physiology, Immunology and Genetics, having authored 18 papers that have together received 933 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (6 papers), Erythrocyte Function and Pathophysiology (6 papers), Protein Tyrosine Phosphatases (5 papers), Platelet Disorders and Treatments (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Glycosylation and Glycoproteins Research (3 papers), Eosinophilic Disorders and Syndromes (3 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Hematology (331 citations), Genetics (200 citations), Immunology (336 citations), Oncology (428 citations) and Physiology (143 citations). Xingwei Sui has collaborated with scholars based in Japan and United States. Frequent co-authors include Zhizhuang Joe Zhao, Sanford B. Krantz, Ryuhei Tanaka, Kohichiro Tsuji, Yasuhiro Ebihara, Min You, Kiyoshi Yasukawa, Tetsuya Taga, Tatsutoshi Nakahata and K Muraoka. Their work appears in journals such as Blood, British Journal of Haematology, The Journal of Experimental Medicine, Human Gene Therapy and Journal of Cellular 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.