Hitoshi Ichikawa
Impact in
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
- Hematology 29
- Acute Myeloid Leukemia Research 25
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- Cancer Genomics and Diagnostics 15
- Co-authors
- Misao OhkiAkira KawaiY HayashiAkihiko YoshidaAtsushi IwamaTsutomu OhtaIssay KitabayashiGary S. Goldberg
- Journals
- Cancer Science (10 papers)Modern Pathology (8 papers)Scientific Reports (5 papers)Genes Chromosomes and Cancer (5 papers)Journal of Clinical Oncology (5 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Hitoshi Ichikawa
136 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 131
- Hematology 778
- Cancer Research 804
- Oncology 1.2k
- Molecular Biology 2.9k
- Pulmonary and Respiratory Medicine 1.2k
Countries citing papers authored by Hitoshi Ichikawa
This map shows the geographic impact of Hitoshi Ichikawa'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 Hitoshi Ichikawa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Ichikawa more than expected).
Fields of papers citing papers by Hitoshi Ichikawa
This network shows the impact of papers produced by Hitoshi Ichikawa. 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 Hitoshi Ichikawa. The network helps show where Hitoshi Ichikawa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hitoshi Ichikawa, 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 | 25 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 12 | |
| 6 | 2022 | 13 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 38 | |
| 10 | 2021 | 25 | |
| 11 | 2018 | 20 | |
| 12 | 2018 | 44 | |
| 13 | 2018 | 32 | |
| 14 | 2015 | 29 | |
| 15 | 2014 | 22 | |
| 16 | 2012 | 39 | |
| 17 | 2008 | 97 | |
| 18 | 2006 | 50 | |
| 19 | [X-RAY DIAGNOSIS OF EARLY GASTRIC CANCER]. | 1964 | 1 |
| 20 | Epidemiological Studies on the Physiological Ageing of Population Report 2. Investigation on the Physiological Ageing and Body Strength of Pioneers in New Farming | 1964 | 1 |
About Hitoshi Ichikawa
Hitoshi Ichikawa is a scholar working on Hematology, Cancer Research, Pulmonary and Respiratory Medicine, Gastroenterology and Oncology, having authored 142 papers that have together received 5.0k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (30 papers), Acute Myeloid Leukemia Research (25 papers), Cancer Genomics and Diagnostics (15 papers), Epigenetics and DNA Methylation (12 papers), Cancer-related gene regulation (9 papers), Lung Cancer Treatments and Mutations (9 papers), Genomics and Chromatin Dynamics (8 papers) and Cancer Cells and Metastasis (8 papers). The work is most often cited by research in Hematology (778 citations), Cancer Research (804 citations), Oncology (1.2k citations), Molecular Biology (2.9k citations) and Pulmonary and Respiratory Medicine (1.2k citations). Hitoshi Ichikawa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Misao Ohki, Akira Kawai, Y Hayashi, Akihiko Yoshida, Atsushi Iwama, Tsutomu Ohta, Issay Kitabayashi, Gary S. Goldberg, Katsuji Shimizu and Yongquan Shen. Their work appears in journals such as Cancer Science, Modern Pathology, Scientific Reports, Genes Chromosomes and Cancer and Journal of Clinical 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.