Seiichi Ishida
Impact in
- Oncology top 2%
- Cancer-related Molecular Pathways
- Drug Transport and Resistance Mechanisms
- Cancer Research top 5%
Papers in
-
- Gene expression and cancer classification 6
- Epigenetics and DNA Methylation 5
- Oncology 22
- Drug Transport and Resistance Mechanisms 9
- Cancer-related Molecular Pathways 7
- Co-authors
- Joseph R. Nevins (9 shared papers)Erich Huang (4 shared papers)Mike West (4 shared papers)Harry Zuzan (2 shared papers)Rainer Spang (2 shared papers)Holly K. Dressman (3 shared papers)Laszlo Jakoi (5 shared papers)Jeffrey R. Marks (1 shared paper)
- Journals
- Drug Metabolism and Disposition (4 papers)Biochemical and Biophysical Research Communications (4 papers)Biological and Pharmaceutical Bulletin (4 papers)Drug Metabolism and Pharmacokinetics (4 papers)Molecular and Cellular Biology (3 papers)
- Partner nations
- JapanUnited StatesSri Lanka
In The Last Decade
Seiichi Ishida
68 papers receiving 3.8k citations
Seiichi Ishida's Hit Papers
Peers
Comparison fields: 5 of 133
- Oncology 1.2k
- Cancer Research 497
- Molecular Biology 2.3k
- Pharmacology 258
- Hepatology 162
Countries citing papers authored by Seiichi Ishida
This map shows the geographic impact of Seiichi Ishida'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 Seiichi Ishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seiichi Ishida more than expected).
Fields of papers citing papers by Seiichi Ishida
This network shows the impact of papers produced by Seiichi Ishida. 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 Seiichi Ishida. The network helps show where Seiichi Ishida may publish in the future.
Co-authors
The 25 scholars most cited alongside Seiichi Ishida, 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 70 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting the clinical status of human breast cancer by using gene expression profiles Hit paper breakdown → | 2001 | 993 |
| 2 | 2001 | 488 | |
| 3 | 1998 | 309 | |
| 4 | 2000 | 232 | |
| 5 | 2003 | 189 | |
| 6 | 2000 | 149 | |
| 7 | 2000 | 133 | |
| 8 | 2008 | 96 | |
| 9 | 2001 | 94 | |
| 10 | 2003 | 90 | |
| 11 | 2002 | 70 | |
| 12 | 2014 | 70 | |
| 13 | 2018 | 66 | |
| 14 | 2004 | 62 | |
| 15 | Distinct gene expression phenotypes of cells lacking Rb and Rb family members. | 2003 | 60 |
| 16 | 2002 | 52 | |
| 17 | 2005 | 51 | |
| 18 | 2009 | 51 | |
| 19 | 2005 | 43 | |
| 20 | 2005 | 41 |
About Seiichi Ishida
Seiichi Ishida is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Pharmacology and Hepatology, having authored 70 papers that have together received 3.9k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (14 papers), Pharmacogenetics and Drug Metabolism (11 papers), Liver physiology and pathology (10 papers), Drug Transport and Resistance Mechanisms (9 papers), Cancer-related Molecular Pathways (7 papers), Gene expression and cancer classification (6 papers), Epigenetics and DNA Methylation (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Oncology (1.2k citations), Cancer Research (497 citations), Molecular Biology (2.3k citations), Pharmacology (258 citations) and Hepatology (162 citations). Seiichi Ishida has collaborated with scholars based in Japan, United States and Sri Lanka. Frequent co-authors include Joseph R. Nevins, Erich Huang, Mike West, Harry Zuzan, Rainer Spang, Holly K. Dressman, Laszlo Jakoi, Jeffrey R. Marks, Carrie Blanchette and John A. Olson. Their work appears in journals such as Drug Metabolism and Disposition, Biochemical and Biophysical Research Communications, Biological and Pharmaceutical Bulletin, Drug Metabolism and Pharmacokinetics and Molecular and Cellular Biology.
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.