Tomoko Iguchi
Impact in
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Toxicology top 5%
Papers in
-
- Cancer therapeutics and mechanisms 3
-
- Acute Myeloid Leukemia Research 2
- Hematopoietic Stem Cell Transplantation 2
- Co-authors
- Tomoki� Ito (3 shared papers)Susumu Ikehara (5 shared papers)Muneo Inaba (3 shared papers)Yasushi Adachi (2 shared papers)Shinji Sogo (3 shared papers)Kayo Inaba (2 shared papers)Shirou Fukuhara (3 shared papers)Junko Toki (2 shared papers)
- Journals
- Stem Cells (3 papers)The Journal of Immunology (1 paper)British Journal of Haematology (1 paper)Japanese Journal of Clinical Oncology (1 paper)Leukemia (1 paper)
- Partner nations
- JapanUnited StatesSwitzerland
In The Last Decade
Tomoko Iguchi
14 papers receiving 638 citations
Peers
Comparison fields: 5 of 65
- Immunology 288
- Toxicology 46
- Cellular and Molecular Neuroscience 149
- Hematology 91
- Molecular Biology 284
Countries citing papers authored by Tomoko Iguchi
This map shows the geographic impact of Tomoko Iguchi'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 Tomoko Iguchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomoko Iguchi more than expected).
Fields of papers citing papers by Tomoko Iguchi
This network shows the impact of papers produced by Tomoko Iguchi. 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 Tomoko Iguchi. The network helps show where Tomoko Iguchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Tomoko Iguchi, 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 | 1999 | 254 | |
| 2 | 2000 | 146 | |
| 3 | Novel indolocarbazole compound 6-N-formylamino-12,13-dihydro-1,11-dihydroxy- 13-(beta-D-glucopyranosyl)-5H-indolo[2,3-a]pyrrolo-[3,4-c]carbazole- 5,7(6H)-dione (NB-506): its potent antitumor activities in mice. | 1995 | 56 |
| 4 | 2000 | 52 | |
| 5 | 2000 | 42 | |
| 6 | 1999 | 22 | |
| 7 | 1999 | 21 | |
| 8 | 1998 | 19 | |
| 9 | 1993 | 15 | |
| 10 | 1998 | 12 | |
| 11 | 1993 | 7 | |
| 12 | 1997 | 7 | |
| 13 | 2002 | 1 | |
| 14 | Evaluation of anti-tumor effect of corticosteroid on human glioma in vitro. | 1974 | 1 |
About Tomoko Iguchi
Tomoko Iguchi is a scholar working on Molecular Biology, Hematology, Surgery, Immunology and Genetics, having authored 14 papers that have together received 655 indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (3 papers), Pancreatic function and diabetes (2 papers), Acute Myeloid Leukemia Research (2 papers), Liver physiology and pathology (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Bioactive Compounds and Antitumor Agents (2 papers), T-cell and B-cell Immunology (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Immunology (288 citations), Toxicology (46 citations), Cellular and Molecular Neuroscience (149 citations), Hematology (91 citations) and Molecular Biology (284 citations). Tomoko Iguchi has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Tomoki� Ito, Susumu Ikehara, Muneo Inaba, Yasushi Adachi, Shinji Sogo, Kayo Inaba, Shirou Fukuhara, Junko Toki, Jenny Valladeau and Sem Saeland. Their work appears in journals such as Stem Cells, The Journal of Immunology, British Journal of Haematology, Japanese Journal of Clinical Oncology and Leukemia.
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.