Jun Odawara
Impact in
- Neurology top 5%
- CNS Lymphoma Diagnosis and Treatment
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
- Hematology 11
- Multiple Myeloma Research and Treatments 4
- Chronic Myeloid Leukemia Treatments 4
- Acute Myeloid Leukemia Research 3
- Genetics 7
- Co-authors
- Masayuki Yamakura (15 shared papers)Masami Takeuchi (14 shared papers)Kosei Matsue (13 shared papers)Shun‐ichi Kimura (11 shared papers)Noboru Asada (8 shared papers)Takatoshi Aoki (11 shared papers)Koichi Akashi (12 shared papers)Yasuyuki Ohkawa (13 shared papers)
- Journals
- International Journal of Hematology (6 papers)European Journal Of Haematology (4 papers)Cancer Science (2 papers)Mayo Clinic Proceedings (2 papers)Blood (2 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Jun Odawara
37 papers receiving 667 citations
Peers
Comparison fields: 5 of 55
- Neurology 250
- Pathology and Forensic Medicine 202
- Genetics 111
- Hematology 99
- Rheumatology 49
Countries citing papers authored by Jun Odawara
This map shows the geographic impact of Jun Odawara'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 Jun Odawara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Odawara more than expected).
Fields of papers citing papers by Jun Odawara
This network shows the impact of papers produced by Jun Odawara. 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 Jun Odawara. The network helps show where Jun Odawara may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Odawara, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 110 | |
| 2 | 2012 | 103 | |
| 3 | 2010 | 81 | |
| 4 | 2017 | 58 | |
| 5 | 2020 | 57 | |
| 6 | 2007 | 46 | |
| 7 | 2011 | 33 | |
| 8 | 2009 | 31 | |
| 9 | 2007 | 21 | |
| 10 | 2009 | 19 | |
| 11 | 2006 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2018 | 12 | |
| 14 | 2011 | 9 | |
| 15 | 2009 | 8 | |
| 16 | 2010 | 7 | |
| 17 | 2012 | 7 | |
| 18 | 2010 | 6 | |
| 19 | 2010 | 6 | |
| 20 | 2021 | 5 |
About Jun Odawara
Jun Odawara is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Neurology and Molecular Biology, having authored 38 papers that have together received 680 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), CNS Lymphoma Diagnosis and Treatment (5 papers), RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (4 papers), Multiple Myeloma Research and Treatments (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (3 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Neurology (250 citations), Pathology and Forensic Medicine (202 citations), Genetics (111 citations), Hematology (99 citations) and Rheumatology (49 citations). Jun Odawara has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Masayuki Yamakura, Masami Takeuchi, Kosei Matsue, Shun‐ichi Kimura, Noboru Asada, Takatoshi Aoki, Koichi Akashi, Yasuyuki Ohkawa, Akihito Harada and Seiji Okada. Their work appears in journals such as International Journal of Hematology, European Journal Of Haematology, Cancer Science, Mayo Clinic Proceedings and Blood.
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.