Darryl Shibata
Impact in
- Pathology and Forensic Medicine top 0.05%
- Genetic factors in colorectal cancer
- Lymphoma Diagnosis and Treatment
- Cancer Research top 0.1%
- Cancer Genomics and Diagnostics
Papers in
-
- Cancer Genomics and Diagnostics 82
-
- Genetic factors in colorectal cancer 72
- Lymphoma Diagnosis and Treatment 25
- Co-authors
- Manuel PeruchoNorman ArnheimMiguel A. PeinadoSergei MalkhosyanYurij IonovMartin WjSimon TavaréKathleen Forrester
- Journals
- Proceedings of the National Academy of Sciences (9 papers)Blood (8 papers)American Journal Of Pathology (8 papers)Cancer Research (5 papers)Carcinogenesis (5 papers)
- Partner nations
- United StatesUnited KingdomFinland
In The Last Decade
Darryl Shibata
185 papers receiving 15.3k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Pathology and Forensic Medicine 6.6k
- Cancer Research 4.8k
- Oncology 7.4k
- Molecular Biology 6.2k
- Genetics 1.8k
Countries citing papers authored by Darryl Shibata
This map shows the geographic impact of Darryl Shibata'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 Darryl Shibata with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darryl Shibata more than expected).
Fields of papers citing papers by Darryl Shibata
This network shows the impact of papers produced by Darryl Shibata. 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 Darryl Shibata. The network helps show where Darryl Shibata may publish in the future.
Co-authors
The 25 scholars most cited alongside Darryl Shibata, 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 | 2025 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 3 | |
| 4 | 2022 | 27 | |
| 5 | 2018 | 1 | |
| 6 | 2016 | 18 | |
| 7 | 2015 | 11 | |
| 8 | 2012 | 50 | |
| 9 | Variable Clonal Repopulation Dynamics Influence Chemotherapy Response in Colorectal Cancer Hit paper breakdown → | 2012 | 557 |
| 10 | 2012 | 7 | |
| 11 | 2010 | 44 | |
| 12 | 2008 | 11 | |
| 13 | 2007 | 77 | |
| 14 | 2007 | 6 | |
| 15 | 2006 | 69 | |
| 16 | 2006 | 39 | |
| 17 | 2004 | 83 | |
| 18 | 1999 | 50 | |
| 19 | 1995 | 18 | |
| 20 | 1994 | 5 |
About Darryl Shibata
Darryl Shibata is a scholar working on Cancer Research, Pathology and Forensic Medicine, Oncology, Genetics and Molecular Biology, having authored 188 papers that have together received 15.8k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (82 papers), Genetic factors in colorectal cancer (72 papers), Epigenetics and DNA Methylation (35 papers), Viral-associated cancers and disorders (25 papers), Lymphoma Diagnosis and Treatment (25 papers), Colorectal Cancer Screening and Detection (14 papers), Colorectal Cancer Treatments and Studies (14 papers) and Cancer Cells and Metastasis (12 papers). The work is most often cited by research in Pathology and Forensic Medicine (6.6k citations), Cancer Research (4.8k citations), Oncology (7.4k citations), Molecular Biology (6.2k citations) and Genetics (1.8k citations). Darryl Shibata has collaborated with scholars based in United States, United Kingdom and Finland. Frequent co-authors include Manuel Perucho, Norman Arnheim, Miguel A. Peinado, Sergei Malkhosyan, Yurij Ionov, Martin Wj, Simon Tavaré, Kathleen Forrester, John J. Martin and Concepción Almoguera. Their work appears in journals such as Proceedings of the National Academy of Sciences, Blood, American Journal Of Pathology, Cancer Research and Carcinogenesis.
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.