Kunio Kitamura
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms 7
- Hematology top 2%
- Acute Myeloid Leukemia Research 16
- Chronic Myeloid Leukemia Treatments 8
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 11
- Retinoids in leukemia and cellular processes 10
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- Lymphoma Diagnosis and Treatment 10
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- Chronic Lymphocytic Leukemia Research 9
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- Cell Adhesion Molecules Research 8
- Co-authors
- Keiichi UyemuraMasaru SuzukiMasako YanazawaTomoki NaoeKentaro KatoHirohito MiuraRyuzo OhnoYûkô Fukui
- Partner nations
- JapanUnited StatesIndia
In The Last Decade
Kunio Kitamura
89 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 105
- Developmental Neuroscience 186
- Hematology 500
- Molecular Biology 2.1k
- Cellular and Molecular Neuroscience 538
- Pathology and Forensic Medicine 382
Countries citing papers authored by Kunio Kitamura
This map shows the geographic impact of Kunio Kitamura'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 Kunio Kitamura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kunio Kitamura more than expected).
Fields of papers citing papers by Kunio Kitamura
This network shows the impact of papers produced by Kunio Kitamura. 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 Kunio Kitamura. The network helps show where Kunio Kitamura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kunio Kitamura, 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 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2022 | 15 | |
| 5 | 2013 | 19 | |
| 6 | 2012 | 4 | |
| 7 | 2011 | 31 | |
| 8 | 2009 | 17 | |
| 9 | 2007 | 26 | |
| 10 | 2005 | 108 | |
| 11 | 2004 | 16 | |
| 12 | 2000 | 7 | |
| 13 | Functional Analysis of P0 and L1 Cell Adhesion Proteins | 1997 | 1 |
| 14 | 1997 | 148 | |
| 15 | 1996 | 3 | |
| 16 | 1996 | 21 | |
| 17 | 1996 | 88 | |
| 18 | 1993 | 3 | |
| 19 | 1993 | 10 | |
| 20 | 1990 | 6 |
About Kunio Kitamura
Kunio Kitamura is a scholar working on Hematology, Developmental Neuroscience, Immunology and Allergy, Genetics and Cell Biology, having authored 92 papers that have together received 3.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (16 papers), Glycosylation and Glycoproteins Research (11 papers), Retinoids in leukemia and cellular processes (10 papers), Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (9 papers), Chronic Myeloid Leukemia Treatments (8 papers), Cell Adhesion Molecules Research (8 papers) and Neurogenesis and neuroplasticity mechanisms (7 papers). The work is most often cited by research in Developmental Neuroscience (186 citations), Hematology (500 citations), Molecular Biology (2.1k citations), Cellular and Molecular Neuroscience (538 citations) and Pathology and Forensic Medicine (382 citations). Kunio Kitamura has collaborated with scholars based in Japan, United States and India. Frequent co-authors include Keiichi Uyemura, Masaru Suzuki, Masako Yanazawa, Tomoki Naoe, Kentaro Kato, Hirohito Miura, Ryuzo Ohno, Yûkô Fukui, Hitoshi Kiyoi and Akemi Suzuki. Their work appears in journals such as Blood, Development, Neurochemical Research, Journal of Neurochemistry and FEBS Letters.
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.