Kiyoshi Kitano
Impact in
- Hematology top 2%
- Platelet Disorders and Treatments
- Blood groups and transfusion
- Virology top 5%
- HIV Research and Treatment
Papers in
- Hematology 35
- Platelet Disorders and Treatments 15
- Acute Myeloid Leukemia Research 13
- Blood groups and transfusion 12
- Genetics 18
- Chronic Lymphocytic Leukemia Research 10
- Co-authors
- Fumihiro IshidaKendo KiyosawaShigetaka ShimodairaNaoaki IchikawaToshiro ItoDW GoldeGC BaldwinDaniel Cioca
- Journals
- Blood (11 papers)British Journal of Haematology (8 papers)Acta Haematologica (7 papers)International Journal of Hematology (5 papers)Thrombosis and Haemostasis (5 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Kiyoshi Kitano
90 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 92
- Hematology 599
- Virology 196
- Immunology 483
- Genetics 243
- Rheumatology 241
Countries citing papers authored by Kiyoshi Kitano
This map shows the geographic impact of Kiyoshi Kitano'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 Kiyoshi Kitano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiyoshi Kitano more than expected).
Fields of papers citing papers by Kiyoshi Kitano
This network shows the impact of papers produced by Kiyoshi Kitano. 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 Kiyoshi Kitano. The network helps show where Kiyoshi Kitano may publish in the future.
Co-authors
The 25 scholars most cited alongside Kiyoshi Kitano, 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 | 2018 | 5 | |
| 2 | 2014 | 0 | |
| 3 | 2014 | 5 | |
| 4 | 2012 | 6 | |
| 5 | 2006 | 26 | |
| 6 | 2003 | 1 | |
| 7 | 2002 | 7 | |
| 8 | 2002 | 14 | |
| 9 | 1999 | 59 | |
| 10 | 1998 | 11 | |
| 11 | 1998 | 30 | |
| 12 | [Mantle cell lymphoma with multiple extranodal involvement]. | 1997 | 1 |
| 13 | 1995 | 1 | |
| 14 | 1994 | 54 | |
| 15 | 1994 | 4 | |
| 16 | 1993 | 15 | |
| 17 | 1993 | 13 | |
| 18 | 1993 | 9 | |
| 19 | 1993 | 7 | |
| 20 | [Familial multiple hemangioblastomas--report of two cases in a family (author's transl)]. | 1977 | 1 |
About Kiyoshi Kitano
Kiyoshi Kitano is a scholar working on Hematology, Genetics, Virology, Immunology and Pathology and Forensic Medicine, having authored 92 papers that have together received 1.7k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (15 papers), Immune Cell Function and Interaction (15 papers), Lymphoma Diagnosis and Treatment (15 papers), Acute Myeloid Leukemia Research (13 papers), Blood groups and transfusion (12 papers), Viral-associated cancers and disorders (11 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Eosinophilic Disorders and Syndromes (10 papers). The work is most often cited by research in Hematology (599 citations), Virology (196 citations), Immunology (483 citations), Genetics (243 citations) and Rheumatology (241 citations). Kiyoshi Kitano has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Fumihiro Ishida, Kendo Kiyosawa, Shigetaka Shimodaira, Naoaki Ichikawa, Toshiro Ito, DW Golde, GC Baldwin, Daniel Cioca, Takashi Kato and Tomoyuki Tahara. Their work appears in journals such as Blood, British Journal of Haematology, Acta Haematologica, International Journal of Hematology and Thrombosis and Haemostasis.
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.