S Tagawa
Impact in
- Hematology top 2%
- Autoimmune and Inflammatory Disorders Research
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Genetics 11
- Chronic Lymphocytic Leukemia Research 10
- Immunology 21
- Immune Cell Function and Interaction 13
- T-cell and Retrovirus Studies 6
- Co-authors
- Masao MizukiShigekazu NagataMasato TanakaFumihiko KimuraKyosuke HazeNorio NakamuraTakashi SudaKen Sato
- Journals
- Blood (5 papers)British Journal of Haematology (2 papers)Cancer (2 papers)Acta Haematologica (2 papers)American Journal of Hematology (2 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
S Tagawa
45 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Hematology 489
- Immunology 901
- Pathology and Forensic Medicine 417
- Genetics 215
- Oncology 415
Countries citing papers authored by S Tagawa
This map shows the geographic impact of S Tagawa'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 S Tagawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Tagawa more than expected).
Fields of papers citing papers by S Tagawa
This network shows the impact of papers produced by S Tagawa. 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 S Tagawa. The network helps show where S Tagawa may publish in the future.
Co-authors
The 25 scholars most cited alongside S Tagawa, 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 | 2001 | 90 | |
| 2 | 2001 | 158 | |
| 3 | 1999 | 2 | |
| 4 | 1999 | 14 | |
| 5 | 1998 | 22 | |
| 6 | 1998 | 1 | |
| 7 | 1998 | 25 | |
| 8 | 1998 | 2 | |
| 9 | 1997 | 6 | |
| 10 | Polymorphonuclear neutrophils in saliva and blood: a comparative study of morphology, function and phenotype. | 1997 | 8 |
| 11 | Fas ligand in human serum Hit paper breakdown → | 1996 | 601 |
| 12 | 1996 | 6 | |
| 13 | 1996 | 3 | |
| 14 | 1995 | 5 | |
| 15 | 1995 | 63 | |
| 16 | Molecular analysis of T cell receptor and CD3 genes in CD3- large granular lymphocytes (LGLs): evidence for the existence of CD3- LGLs committed to the T cell lineage. | 1990 | 7 |
| 17 | 1990 | 1 | |
| 18 | 1990 | 45 | |
| 19 | 1988 | 19 | |
| 20 | 1986 | 14 |
About S Tagawa
S Tagawa is a scholar working on Genetics, Immunology, Immunology and Allergy, Hematology and Pathology and Forensic Medicine, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (7 papers), T-cell and Retrovirus Studies (6 papers), Glycosylation and Glycoproteins Research (4 papers), Cytomegalovirus and herpesvirus research (4 papers), Viral-associated cancers and disorders (3 papers) and Eosinophilic Disorders and Syndromes (3 papers). The work is most often cited by research in Hematology (489 citations), Immunology (901 citations), Pathology and Forensic Medicine (417 citations), Genetics (215 citations) and Oncology (415 citations). S Tagawa has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Masao Mizuki, Shigekazu Nagata, Masato Tanaka, Fumihiko Kimura, Kyosuke Haze, Norio Nakamura, Takashi Suda, Ken Sato, Shigetoshi Ohga and Kiyohiko Hatake. Their work appears in journals such as Blood, British Journal of Haematology, Cancer, Acta Haematologica and American Journal of Hematology.
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.