David Tuck
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Gene expression and cancer classification 14
- Bioinformatics and Genomic Networks 8
- Histone Deacetylase Inhibitors Research 7
- Epigenetics and DNA Methylation 7
- Oncology 27
- Cancer Immunotherapy and Biomarkers 8
- Cancer Treatment and Pharmacology 5
- Co-authors
- Xin Zhou (2 shared papers)Lyndsay N. Harris (15 shared papers)Vincent Schulz (14 shared papers)Sherman M. Weissman (8 shared papers)Diane S. Krause (4 shared papers)Yuval Kluger (4 shared papers)Emanuela M. Bruscia (2 shared papers)John W. Emerson (2 shared papers)
- Journals
- Blood (11 papers)Journal of Clinical Oncology (7 papers)Cancer (3 papers)Cancer Research (3 papers)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
David Tuck
87 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 136
- Cancer Research 511
- Oncology 768
- Molecular Biology 1.4k
- Immunology 411
- Hematology 159
Countries citing papers authored by David Tuck
This map shows the geographic impact of David Tuck'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 David Tuck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Tuck more than expected).
Fields of papers citing papers by David Tuck
This network shows the impact of papers produced by David Tuck. 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 David Tuck. The network helps show where David Tuck may publish in the future.
Co-authors
The 25 scholars most cited alongside David Tuck, 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 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 202 | |
| 2 | 2008 | 175 | |
| 3 | 2016 | 109 | |
| 4 | 2017 | 102 | |
| 5 | 2011 | 101 | |
| 6 | 2006 | 85 | |
| 7 | 2012 | 78 | |
| 8 | 2010 | 78 | |
| 9 | 2016 | 75 | |
| 10 | 2011 | 75 | |
| 11 | 2013 | 74 | |
| 12 | 2013 | 72 | |
| 13 | 2002 | 72 | |
| 14 | 2009 | 71 | |
| 15 | 2020 | 68 | |
| 16 | 2013 | 68 | |
| 17 | 2011 | 67 | |
| 18 | 2011 | 56 | |
| 19 | 2021 | 55 | |
| 20 | 2009 | 51 |
About David Tuck
David Tuck is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Genetics, having authored 90 papers that have together received 2.7k indexed citations. Recurring topics across this work include Gene expression and cancer classification (14 papers), Cancer Immunotherapy and Biomarkers (8 papers), Bioinformatics and Genomic Networks (8 papers), Histone Deacetylase Inhibitors Research (7 papers), Epigenetics and DNA Methylation (7 papers), Immune Cell Function and Interaction (7 papers), Cancer Genomics and Diagnostics (6 papers) and Cancer Treatment and Pharmacology (5 papers). The work is most often cited by research in Cancer Research (511 citations), Oncology (768 citations), Molecular Biology (1.4k citations), Immunology (411 citations) and Hematology (159 citations). David Tuck has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Xin Zhou, Lyndsay N. Harris, Vincent Schulz, Sherman M. Weissman, Diane S. Krause, Yuval Kluger, Emanuela M. Bruscia, John W. Emerson, Ao Li and Pingxia Zhang. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer, Cancer Research and Proceedings of the National Academy of Sciences.
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.