Tomoo Itoh
Impact in
- Oncology top 0.5%
- Cancer Immunotherapy and Biomarkers
- Pancreatic and Hepatic Oncology Research
- Drug Transport and Resistance Mechanisms
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
Papers in
- Co-authors
- Hiroyuki Katoh (17 shared papers)Kei Hiraoka (10 shared papers)Taro Oshikiri (12 shared papers)Masato Suzuoki (9 shared papers)Yoshihiro Nakakubo (9 shared papers)Satoshi Kondo (14 shared papers)Masaki Miyamoto (14 shared papers)Ryoichi Fujiwara (25 shared papers)
- Journals
- Pathology International (11 papers)Histopathology (9 papers)Drug Metabolism and Pharmacokinetics (9 papers)Human Pathology (9 papers)Neuropathology (9 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Tomoo Itoh
275 papers receiving 6.2k citations
Peers
Comparison fields: 5 of 133
- Oncology 2.3k
- Pharmacology 417
- Cancer Research 634
- Immunology 822
- Genetics 342
Countries citing papers authored by Tomoo Itoh
This map shows the geographic impact of Tomoo Itoh'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 Tomoo Itoh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoo Itoh more than expected).
Fields of papers citing papers by Tomoo Itoh
This network shows the impact of papers produced by Tomoo Itoh. 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 Tomoo Itoh. The network helps show where Tomoo Itoh may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomoo Itoh, 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 288 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 428 | |
| 2 | 2006 | 385 | |
| 3 | 2003 | 266 | |
| 4 | CD4+ and CD8+ T cells cooperate to improve prognosis of patients with esophageal squamous cell carcinoma. | 2003 | 215 |
| 5 | 2002 | 213 | |
| 6 | 2003 | 131 | |
| 7 | 2001 | 128 | |
| 8 | 2002 | 123 | |
| 9 | 2003 | 113 | |
| 10 | 2017 | 90 | |
| 11 | 2003 | 89 | |
| 12 | 2000 | 89 | |
| 13 | 2013 | 87 | |
| 14 | 1998 | 83 | |
| 15 | 2003 | 78 | |
| 16 | 2008 | 72 | |
| 17 | 2003 | 70 | |
| 18 | 2002 | 69 | |
| 19 | 2002 | 65 | |
| 20 | 2013 | 63 |
About Tomoo Itoh
Tomoo Itoh is a scholar working on Oncology, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 288 papers that have together received 6.4k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (24 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (20 papers), Pancreatic and Hepatic Oncology Research (20 papers), Neuroendocrine Tumor Research Advances (20 papers), Glioma Diagnosis and Treatment (15 papers), Lymphoma Diagnosis and Treatment (14 papers), Pharmacogenetics and Drug Metabolism (13 papers) and Cancer Cells and Metastasis (9 papers). The work is most often cited by research in Oncology (2.3k citations), Pharmacology (417 citations), Cancer Research (634 citations), Immunology (822 citations) and Genetics (342 citations). Tomoo Itoh has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Hiroyuki Katoh, Kei Hiraoka, Taro Oshikiri, Masato Suzuoki, Yoshihiro Nakakubo, Satoshi Kondo, Masaki Miyamoto, Ryoichi Fujiwara, Yoh Zen and Kentaro Kato. Their work appears in journals such as Pathology International, Histopathology, Drug Metabolism and Pharmacokinetics, Human Pathology and Neuropathology.
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.