Tomohiro Aoki
Impact in
- Dermatology top 2%
- Cutaneous lymphoproliferative disorders research
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 25
- Oncology 17
- CAR-T cell therapy research 12
- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Christian Steidl (20 shared papers)Kazuyuki Shimada (8 shared papers)Fumihiko Hayakawa (6 shared papers)Toshiki Uchida (7 shared papers)Hitoshi Kiyoi (7 shared papers)Akihiko Sakamoto (7 shared papers)Michinori Ogura (7 shared papers)Ritsuro Suzuki (3 shared papers)
- Journals
- Blood (12 papers)International Journal of Hematology (3 papers)Blood Advances (3 papers)Experimental Biology and Medicine (2 papers)Journal of Clinical Oncology (2 papers)
- Partner nations
- JapanCanadaUnited States
In The Last Decade
Tomohiro Aoki
40 papers receiving 706 citations
Peers
Comparison fields: 5 of 61
- Dermatology 152
- Pathology and Forensic Medicine 242
- Oncology 274
- Genetics 93
- Immunology 171
Countries citing papers authored by Tomohiro Aoki
This map shows the geographic impact of Tomohiro Aoki'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 Tomohiro Aoki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomohiro Aoki more than expected).
Fields of papers citing papers by Tomohiro Aoki
This network shows the impact of papers produced by Tomohiro Aoki. 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 Tomohiro Aoki. The network helps show where Tomohiro Aoki may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomohiro Aoki, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 92 | |
| 2 | 2013 | 58 | |
| 3 | 2014 | 49 | |
| 4 | 2018 | 47 | |
| 5 | 2020 | 44 | |
| 6 | 2016 | 44 | |
| 7 | 2021 | 44 | |
| 8 | 2021 | 37 | |
| 9 | 2022 | 31 | |
| 10 | 2015 | 25 | |
| 11 | 2022 | 23 | |
| 12 | 2016 | 21 | |
| 13 | 2022 | 21 | |
| 14 | 2016 | 19 | |
| 15 | 2011 | 18 | |
| 16 | 2011 | 17 | |
| 17 | 2024 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2018 | 10 | |
| 20 | 2012 | 10 |
About Tomohiro Aoki
Tomohiro Aoki is a scholar working on Pathology and Forensic Medicine, Oncology, Immunology, Molecular Biology and Cancer Research, having authored 46 papers that have together received 714 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (25 papers), CAR-T cell therapy research (12 papers), Single-cell and spatial transcriptomics (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Cancer Genomics and Diagnostics (4 papers), T-cell and Retrovirus Studies (4 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Dermatology (152 citations), Pathology and Forensic Medicine (242 citations), Oncology (274 citations), Genetics (93 citations) and Immunology (171 citations). Tomohiro Aoki has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include Christian Steidl, Kazuyuki Shimada, Fumihiko Hayakawa, Toshiki Uchida, Hitoshi Kiyoi, Akihiko Sakamoto, Michinori Ogura, Ritsuro Suzuki, Nobuhiko Imahashi and Kengo Takeuchi. Their work appears in journals such as Blood, International Journal of Hematology, Blood Advances, Experimental Biology and Medicine and Journal of Clinical Oncology.
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.