Fukashi Doi
Impact in
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- Breast Cancer Treatment Studies
- Cancer Genomics and Diagnostics
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- Cancer Cells and Metastasis
Papers in
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- Molecular Biology Techniques and Applications 2
- Wnt/β-catenin signaling in development and cancer 1
- Oncology 3
- Cytokine Signaling Pathways and Interactions 1
- Cutaneous Melanoma Detection and Management 1
- Co-authors
- Dave S.�B. Hoon (5 shared papers)Andrew Conrad (3 shared papers)Motomichi Torisu (3 shared papers)Peter Schmid (1 shared paper)A E Giuliano (1 shared paper)Shinzaburo Noguchi (1 shared paper)Tomohiko Aihara (1 shared paper)Donald L. Morton (3 shared papers)
- Journals
- Journal of Cellular Biochemistry (2 papers)International Journal of Cancer (2 papers)Cancer (1 paper)Surgery Today (1 paper)Annals of Surgical Oncology (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Fukashi Doi
11 papers receiving 407 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 149
- Oncology 154
- Pathology and Forensic Medicine 80
- Hepatology 34
- Immunology 88
Countries citing papers authored by Fukashi Doi
This map shows the geographic impact of Fukashi Doi'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 Fukashi Doi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fukashi Doi more than expected).
Fields of papers citing papers by Fukashi Doi
This network shows the impact of papers produced by Fukashi Doi. 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 Fukashi Doi. The network helps show where Fukashi Doi may publish in the future.
Co-authors
The 25 scholars most cited alongside Fukashi Doi, 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 | 1995 | 141 | |
| 2 | 1996 | 72 | |
| 3 | 1993 | 53 | |
| 4 | 2001 | 49 | |
| 5 | 1996 | 43 | |
| 6 | 1996 | 30 | |
| 7 | 1993 | 22 | |
| 8 | 2002 | 4 | |
| 9 | 1992 | 3 | |
| 10 | 2015 | 1 | |
| 11 | 1996 | 1 |
About Fukashi Doi
Fukashi Doi is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Immunology and Hepatology, having authored 11 papers that have together received 419 indexed citations. Recurring topics across this work include Liver physiology and pathology (3 papers), Molecular Biology Techniques and Applications (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Breast Cancer Treatment Studies (1 paper), Cancer, Lipids, and Metabolism (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Cancer Research (149 citations), Oncology (154 citations), Pathology and Forensic Medicine (80 citations), Hepatology (34 citations) and Immunology (88 citations). Fukashi Doi has collaborated with scholars based in Japan and United States. Frequent co-authors include Dave S.�B. Hoon, Andrew Conrad, Motomichi Torisu, Peter Schmid, A E Giuliano, Shinzaburo Noguchi, Tomohiko Aihara, Donald L. Morton, Terry Sarantou and Peter Schmid. Their work appears in journals such as Journal of Cellular Biochemistry, International Journal of Cancer, Cancer, Surgery Today and Annals of Surgical 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.