Atsushi Tsukamoto
- Hematology top 2%
- Molecular Biology
- Immunology top 5%
- Genetics top 5%
- Oncology top 10%
- Co-authors
- C BaumAshley M. BuckleI L WeissmanBruno PéaultTomo InomataKoichi OhnoNaoshige UchidaKo Nakashima
- Topics
- Veterinary Oncology Research (7 papers)Veterinary Pharmacology and Anesthesia (5 papers)Anesthesia and Neurotoxicity Research (4 papers)
- Cited by
- HematologyGeneticsImmunology
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Atsushi Tsukamoto
37 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Hematology 590
- Molecular Biology 464
- Immunology 432
- Genetics 304
- Oncology 237
Countries citing papers authored by Atsushi Tsukamoto
This map shows the geographic impact of Atsushi Tsukamoto'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 Atsushi Tsukamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Atsushi Tsukamoto more than expected).
Fields of papers citing papers by Atsushi Tsukamoto
This network shows the impact of papers produced by Atsushi Tsukamoto. 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 Atsushi Tsukamoto. The network helps show where Atsushi Tsukamoto may publish in the future.
Co-authorship network of co-authors of Atsushi Tsukamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Atsushi Tsukamoto. A scholar is included among the top collaborators of Atsushi Tsukamoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Atsushi Tsukamoto. Atsushi Tsukamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 11 | |
| 6 | 14 | |
| 7 | 17 | |
| 8 | 1 | |
| 9 | 8 | |
| 10 | 42 | |
| 11 | 28 | |
| 12 | 14 | |
| 13 | 5 | |
| 14 | 50 | |
| 15 | 20 | |
| 16 | 36 | |
| 17 | 4 | |
| 18 | 115 | |
| 19 | IDENTIFICATION OF A NOVEL, RARE, HUMAN BONE-MARROW POPULATION WITH HEMATOPOIETIC STEM-CELL ACTIVITY .1. CELL ISOLATION AND INVITRO STUDIES | 2 |
| 20 | IDENTIFICATION OF A NOVEL RARE, HUMAN BONE-MARROW POPULATION WITH HEMATOPOIETIC STEM-CELL ACTIVITY .2. INVIVO STUDIES IN IMMUNODEFICIENT SCID MICE ENGRAFTED WITH HUMAN BLOOD-FORMING ORGANS | 1 |
About Atsushi Tsukamoto
Atsushi Tsukamoto is a scholar working on Equine, Developmental Neuroscience and Small Animals, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Veterinary Oncology Research (7 papers), Veterinary Pharmacology and Anesthesia (5 papers) and Anesthesia and Neurotoxicity Research (4 papers). The work is most often cited by research in Hematology (590 citations), Genetics (304 citations) and Immunology (432 citations). Atsushi Tsukamoto has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include C Baum, Ashley M. Buckle, I L Weissman, Bruno Péault, Tomo Inomata, Koichi Ohno, Naoshige Uchida, Ko Nakashima, Hajime Tsujimoto and Kenjiro FUKUSHIMA. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Blood.
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.