Kazuki Sawamoto
- Physiology top 2%
- Lysosomal Storage Disorders Research 21
- Epidemiology top 5%
- Trypanosoma species research and implications 7
- Rheumatology top 5%
- Glycogen Storage Diseases and Myoclonus 4
- Genetics top 10%
- Neurogenetic and Muscular Disorders Research 6
- Virus-based gene therapy research 4
- Cell Biology top 10%
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- Carbohydrate Chemistry and Synthesis 5
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- Autoimmune and Inflammatory Disorders Research 4
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- Drug Transport and Resistance Mechanisms 3
- Co-authors
- Shunji TomatsuTadao OriiRobert W. MasonCarlos Javier Alméciga-DíazWilliam G. MackenzieYasuyuki SuzukiMolly StapletonYoshimichi Sai
- Cited by
- PhysiologyEpidemiologyRheumatology
- Partner nations
- JapanUnited StatesColombia
In The Last Decade
Kazuki Sawamoto
39 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Physiology 837
- Epidemiology 503
- Rheumatology 206
- Genetics 98
- Cell Biology 141
Countries citing papers authored by Kazuki Sawamoto
This map shows the geographic impact of Kazuki Sawamoto'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 Kazuki Sawamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kazuki Sawamoto more than expected).
Fields of papers citing papers by Kazuki Sawamoto
This network shows the impact of papers produced by Kazuki Sawamoto. 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 Kazuki Sawamoto. The network helps show where Kazuki Sawamoto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kazuki Sawamoto, 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 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2020 | 15 | |
| 4 | 2019 | 47 | |
| 5 | 2019 | 93 | |
| 6 | 2019 | 66 | |
| 7 | 2019 | 49 | |
| 8 | 2018 | 49 | |
| 9 | 2018 | 26 | |
| 10 | 2018 | 4 | |
| 11 | 2017 | 54 | |
| 12 | 2016 | 30 | |
| 13 | 2015 | 56 | |
| 14 | 2015 | 14 | |
| 15 | 2015 | 52 | |
| 16 | 2015 | 69 | |
| 17 | 2014 | 18 | |
| 18 | CCR5はマクロファージ動員とM1/M2状態を調節することで,肥満による脂肪組織の炎症およびインスリン抵抗性に重要な役割を果たす | 2013 | 1 |
| 19 | 2012 | 240 | |
| 20 | 2012 | 6 |
About Kazuki Sawamoto
Kazuki Sawamoto is a scholar working on Physiology, Transplantation and Genetics, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (21 papers), Trypanosoma species research and implications (7 papers), Neurogenetic and Muscular Disorders Research (6 papers), Carbohydrate Chemistry and Synthesis (5 papers), Glycogen Storage Diseases and Myoclonus (4 papers), Virus-based gene therapy research (4 papers), Autoimmune and Inflammatory Disorders Research (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Physiology (837 citations), Epidemiology (503 citations) and Rheumatology (206 citations). Kazuki Sawamoto has collaborated with scholars based in Japan, United States and Colombia. Frequent co-authors include Shunji Tomatsu, Tadao Orii, Robert W. Mason, Carlos Javier Alméciga-Díaz, William G. Mackenzie, Yasuyuki Suzuki, Molly Stapleton, Yoshimichi Sai, Shaukat Khan and Hironori Kitade. Their work appears in journals such as Nature Communications, Diabetes and Scientific Reports.
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.