T Hotta
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research
Papers in
- Hematology 24
- Hematopoietic Stem Cell Transplantation 9
- Acute Myeloid Leukemia Research 8
- Oncology 37
- Co-authors
- Hidehiko SaitoT. KinoshitaAtsushi IchikawaAkira OgoseKeitaro TsushitaHiroyuki NagaiTakuhei MuraseKensei Tobinai
- Journals
- Japanese Journal of Clinical Oncology (6 papers)Blood (5 papers)Leukemia (5 papers)Bone Marrow Transplantation (5 papers)Annals of Oncology (4 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
T Hotta
121 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 104
- Hematology 495
- Genetics 390
- Pathology and Forensic Medicine 453
- Oncology 554
- Immunology 306
Countries citing papers authored by T Hotta
This map shows the geographic impact of T Hotta'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 T Hotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Hotta more than expected).
Fields of papers citing papers by T Hotta
This network shows the impact of papers produced by T Hotta. 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 T Hotta. The network helps show where T Hotta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T Hotta, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 11 | |
| 6 | 2020 | 5 | |
| 7 | 2011 | 25 | |
| 8 | 2008 | 17 | |
| 9 | 2008 | 20 | |
| 10 | 2005 | 6 | |
| 11 | 2005 | 9 | |
| 12 | 2003 | 1 | |
| 13 | 2002 | 44 | |
| 14 | 2001 | 3 | |
| 15 | 2001 | 7 | |
| 16 | 2000 | 12 | |
| 17 | 1998 | 17 | |
| 18 | 1995 | 12 | |
| 19 | Cytogenetic and clonal culture evaluation after response to low dose Ara-C in myelodysplastic syndromes. | 1991 | 2 |
| 20 | Studies on the diphyllobothriid cestodes in northern Japan. (4) Plerocercoids recovered from the Alaskan haddock, Theragra chalcogramma, and adults developed in the golden hamster. | 1980 | 1 |
About T Hotta
T Hotta is a scholar working on Hematology, Oncology, Internal Medicine, Pathology and Forensic Medicine and Genetics, having authored 131 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (17 papers), Lung Cancer Treatments and Mutations (14 papers), Chronic Lymphocytic Leukemia Research (9 papers), Sarcoma Diagnosis and Treatment (9 papers), Lung Cancer Diagnosis and Treatment (9 papers), Hematopoietic Stem Cell Transplantation (9 papers), Acute Myeloid Leukemia Research (8 papers) and Immune Cell Function and Interaction (8 papers). The work is most often cited by research in Hematology (495 citations), Genetics (390 citations), Pathology and Forensic Medicine (453 citations), Oncology (554 citations) and Immunology (306 citations). T Hotta has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Hidehiko Saito, T. Kinoshita, Atsushi Ichikawa, Akira Ogose, Keitaro Tsushita, Hiroyuki Nagai, Takuhei Murase, Kensei Tobinai, Takashi Murate and Naoto Endo. Their work appears in journals such as Japanese Journal of Clinical Oncology, Blood, Leukemia, Bone Marrow Transplantation and Annals of 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.