S Go
Impact in
- Immunology and Allergy top 1%
- Food Allergy and Anaphylaxis Research
- Cell Adhesion Molecules Research
- Immunology top 2%
- Mast cells and histamine
- Immune Cell Function and Interaction
Papers in
-
- CRISPR and Genetic Engineering 2
- Glycosylation and Glycoproteins Research 1
- RNA Interference and Gene Delivery 1
-
- Mast cells and histamine 5
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
- Co-authors
- Yukihiko Kitamura (6 shared papers)K. Hatanaka (3 shared papers)M. Shimada (2 shared papers)Hiroshi Matsuda (1 shared paper)Masatoshi Seki (1 shared paper)Kōichi Ogino (1 shared paper)Chikao Yutani (1 shared paper)Tetsu Watanabe (1 shared paper)
- Journals
- Blood (3 papers)The Journal of Experimental Medicine (1 paper)Hypertension (1 paper)Communications Chemistry (1 paper)Developmental Biology (1 paper)
- Partner nations
- JapanSouth KoreaSwitzerland
In The Last Decade
S Go
9 papers receiving 1.7k citations
S Go's Hit Papers
Peers
Comparison fields: 5 of 72
- Immunology and Allergy 406
- Immunology 1.3k
- Physiology 407
- Gastroenterology 71
- Rheumatology 182
Countries citing papers authored by S Go
This map shows the geographic impact of S Go'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 Go with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Go more than expected).
Fields of papers citing papers by S Go
This network shows the impact of papers produced by S Go. 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 Go. The network helps show where S Go may publish in the future.
Co-authors
The 25 scholars most cited alongside S Go, 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 | Decrease of mast cells in W/Wv mice and their increase by bone marrow transplantation Hit paper breakdown → | 1978 | 722 |
| 2 | Decrease of mast cells in W/Wv mice and their increase by bone marrow transplantation Hit paper breakdown → | 1978 | 564 |
| 3 | 1979 | 294 | |
| 4 | 1979 | 99 | |
| 5 | 1979 | 35 | |
| 6 | 1981 | 14 | |
| 7 | 1982 | 13 | |
| 8 | 2023 | 7 | |
| 9 | 2023 | 3 | |
| 10 | 2025 | 0 |
About S Go
S Go is a scholar working on Molecular Biology, Immunology, Epidemiology, Rheumatology and Hematology, having authored 10 papers that have together received 1.8k indexed citations. Recurring topics across this work include Mast cells and histamine (5 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), CRISPR and Genetic Engineering (2 papers), Glycosylation and Glycoproteins Research (1 paper), Amino Acid Enzymes and Metabolism (1 paper), Biochemical Analysis and Sensing Techniques (1 paper) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Immunology and Allergy (406 citations), Immunology (1.3k citations), Physiology (407 citations), Gastroenterology (71 citations) and Rheumatology (182 citations). S Go has collaborated with scholars based in Japan, South Korea and Switzerland. Frequent co-authors include Yukihiko Kitamura, K. Hatanaka, M. Shimada, Hiroshi Matsuda, Masatoshi Seki, Kōichi Ogino, Chikao Yutani, Tetsu Watanabe, Masao Ikeda and Eui‐Jeon Woo. Their work appears in journals such as Blood, The Journal of Experimental Medicine, Hypertension, Communications Chemistry and Developmental Biology.
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.