Jun‐ichi Tamaru
-
- Lymphoma Diagnosis and Treatment 52
- Genetic factors in colorectal cancer 12
- Oncology top 5%
- Viral-associated cancers and disorders 21
- Colorectal Cancer Screening and Detection 7
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 23
- Neurology top 10%
- CNS Lymphoma Diagnosis and Treatment 12
- Immunology top 10%
-
- Sarcoma Diagnosis and Treatment 6
-
- Esophageal Cancer Research and Treatment 6
- Co-authors
- Shuji MomoseMichihide TokuhiraMasahiro KizakiMorihiro HigashiMichael HummelShinji ItoyamaHideyuki IshidaAtsuo Mikata
- Journals
- Blood (12 papers)Japanese Journal of Clinical Oncology (11 papers)Journal of Clinical and Experimental Hematopathology (9 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Jun‐ichi Tamaru
96 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 91
- Pathology and Forensic Medicine 862
- Oncology 771
- Genetics 267
- Neurology 183
- Immunology 224
Countries citing papers authored by Jun‐ichi Tamaru
This map shows the geographic impact of Jun‐ichi Tamaru'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‐ichi Tamaru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun‐ichi Tamaru more than expected).
Fields of papers citing papers by Jun‐ichi Tamaru
This network shows the impact of papers produced by Jun‐ichi Tamaru. 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‐ichi Tamaru. The network helps show where Jun‐ichi Tamaru may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun‐ichi Tamaru, 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 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2021 | 1 | |
| 5 | 2020 | 4 | |
| 6 | 2020 | 7 | |
| 7 | 2019 | 67 | |
| 8 | 2018 | 66 | |
| 9 | 2017 | 4 | |
| 10 | 2017 | 1 | |
| 11 | 2014 | 5 | |
| 12 | 2013 | 3 | |
| 13 | 2011 | 1 | |
| 14 | 2008 | 0 | |
| 15 | 2008 | 1 | |
| 16 | 2008 | 4 | |
| 17 | 2007 | 78 | |
| 18 | 2002 | 7 | |
| 19 | 2002 | 8 | |
| 20 | 2001 | 19 |
About Jun‐ichi Tamaru
Jun‐ichi Tamaru is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology, having authored 108 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (52 papers), Chronic Lymphocytic Leukemia Research (23 papers), Viral-associated cancers and disorders (21 papers), CNS Lymphoma Diagnosis and Treatment (12 papers), Genetic factors in colorectal cancer (12 papers), Colorectal Cancer Screening and Detection (7 papers), Sarcoma Diagnosis and Treatment (6 papers) and Esophageal Cancer Research and Treatment (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (862 citations), Oncology (771 citations) and Genetics (267 citations). Jun‐ichi Tamaru has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Shuji Momose, Michihide Tokuhira, Masahiro Kizaki, Morihiro Higashi, Michael Hummel, Shinji Itoyama, Hideyuki Ishida, Atsuo Mikata, Hisao Ito and Michael Zemlin. Their work appears in journals such as Blood, Japanese Journal of Clinical Oncology, Journal of Clinical and Experimental Hematopathology, Esophagus and Scientific Reports.
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.