Dave S.�B. Hoon
Impact in
- Cancer Research top 0.05%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 0.1%
- Cutaneous Melanoma Detection and Management
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
- Cancer Research 140
- Cancer Genomics and Diagnostics 90
- Immunology 160
- Immunotherapy and Immune Responses 124
- Co-authors
- Klaus PantelHeidi SchwarzenbachDonald L. MortonChristine KuoRoderick R. TurnerArmando E. GiulianoBret TabackHiroya Takeuchi
- Journals
- Journal of Clinical Oncology (40 papers)Clinical Cancer Research (23 papers)Cancer Research (19 papers)International Journal of Cancer (16 papers)Cancers (12 papers)
- Partner nations
- United StatesJapanIsrael
In The Last Decade
Dave S.�B. Hoon
393 papers receiving 21.4k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Cancer Research 7.8k
- Oncology 9.7k
- Immunology 5.9k
- Molecular Biology 11.2k
- Pathology and Forensic Medicine 2.1k
Countries citing papers authored by Dave S.�B. Hoon
This map shows the geographic impact of Dave S.�B. Hoon'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 Dave S.�B. Hoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dave S.�B. Hoon more than expected).
Fields of papers citing papers by Dave S.�B. Hoon
This network shows the impact of papers produced by Dave S.�B. Hoon. 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 Dave S.�B. Hoon. The network helps show where Dave S.�B. Hoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Dave S.�B. Hoon, 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 | 2024 | 11 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 1 | |
| 6 | 2018 | 90 | |
| 7 | 2018 | 39 | |
| 8 | 2018 | 40 | |
| 9 | 2017 | 29 | |
| 10 | 2016 | 148 | |
| 11 | 2013 | 55 | |
| 12 | 2010 | 199 | |
| 13 | 2010 | 21 | |
| 14 | 2009 | 157 | |
| 15 | 2008 | 93 | |
| 16 | 2008 | 114 | |
| 17 | 2006 | 170 | |
| 18 | 2006 | 48 | |
| 19 | 2005 | 79 | |
| 20 | 2004 | 1 |
About Dave S.�B. Hoon
Dave S.�B. Hoon is a scholar working on Cancer Research, Immunology, Oncology, Molecular Biology and Immunology and Allergy, having authored 407 papers that have together received 21.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (124 papers), Cancer Genomics and Diagnostics (90 papers), Epigenetics and DNA Methylation (57 papers), Cutaneous Melanoma Detection and Management (48 papers), Cancer Cells and Metastasis (44 papers), Cancer Immunotherapy and Biomarkers (42 papers), Monoclonal and Polyclonal Antibodies Research (31 papers) and CAR-T cell therapy research (24 papers). The work is most often cited by research in Cancer Research (7.8k citations), Oncology (9.7k citations), Immunology (5.9k citations), Molecular Biology (11.2k citations) and Pathology and Forensic Medicine (2.1k citations). Dave S.�B. Hoon has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Klaus Pantel, Heidi Schwarzenbach, Donald L. Morton, Christine Kuo, Roderick R. Turner, Armando E. Giuliano, Bret Taback, Hiroya Takeuchi, Anton J. Bilchik and Naoyuki Umetani. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Cancer Research, International Journal of Cancer and Cancers.
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.