David S. Guttery
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
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- Cancer Genomics and Diagnostics 22
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- Malaria Research and Control 15
- Co-authors
- Yudong Zhang (11 shared papers)Shuihua Wang (5 shared papers)Jacqui Shaw (24 shared papers)Karen M. Page (17 shared papers)Rita Tewari (22 shared papers)Anthony A. Holder (21 shared papers)Raoul Charles Coombes (14 shared papers)Juan M. Gorriz (3 shared papers)
- Journals
- PLoS Pathogens (5 papers)British Journal of Cancer (4 papers)Annals of Oncology (3 papers)Breast Cancer Research (3 papers)PLoS ONE (3 papers)
- Partner nations
- United KingdomSaudi ArabiaChina
In The Last Decade
David S. Guttery
70 papers receiving 3.8k citations
David S. Guttery's Hit Papers
Peers
Comparison fields: 5 of 149
- Cancer Research 1.3k
- Oncology 742
- Public Health, Environmental and Occupational Health 785
- Hematology 312
- Parasitology 138
Countries citing papers authored by David S. Guttery
This map shows the geographic impact of David S. Guttery'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 S. Guttery with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David S. Guttery more than expected).
Fields of papers citing papers by David S. Guttery
This network shows the impact of papers produced by David S. Guttery. 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 S. Guttery. The network helps show where David S. Guttery may publish in the future.
Co-authors
The 25 scholars most cited alongside David S. Guttery, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deregulated expression of cytokine receptor gene, CRLF2, is involved in lymphoid transformation in B-cell precursor acute lymphoblastic leukemia Hit paper breakdown → | 2009 | 415 |
| 2 | 2019 | 392 | |
| 3 | 2020 | 285 | |
| 4 | 2020 | 203 | |
| 5 | 2016 | 192 | |
| 6 | 2013 | 165 | |
| 7 | 2015 | 148 | |
| 8 | 2019 | 118 | |
| 9 | 2009 | 107 | |
| 10 | 2019 | 103 | |
| 11 | 2014 | 102 | |
| 12 | 2016 | 82 | |
| 13 | 2014 | 80 | |
| 14 | 2011 | 72 | |
| 15 | 2020 | 69 | |
| 16 | 2012 | 68 | |
| 17 | 2018 | 59 | |
| 18 | 2020 | 53 | |
| 19 | 2020 | 52 | |
| 20 | 2020 | 51 |
About David S. Guttery
David S. Guttery is a scholar working on Cancer Research, Public Health, Environmental and Occupational Health, Neurology, Radiology, Nuclear Medicine and Imaging and Cell Biology, having authored 71 papers that have together received 3.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (22 papers), Malaria Research and Control (15 papers), Invertebrate Immune Response Mechanisms (8 papers), Microtubule and mitosis dynamics (7 papers), AI in cancer detection (7 papers), Genetic factors in colorectal cancer (6 papers), Brain Tumor Detection and Classification (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Cancer Research (1.3k citations), Oncology (742 citations), Public Health, Environmental and Occupational Health (785 citations), Hematology (312 citations) and Parasitology (138 citations). David S. Guttery has collaborated with scholars based in United Kingdom, Saudi Arabia and China. Frequent co-authors include Yudong Zhang, Shuihua Wang, Jacqui Shaw, Karen M. Page, Rita Tewari, Anthony A. Holder, Raoul Charles Coombes, Juan M. Gorriz, Suresh Chandra Satapathy and Allison Hills. Their work appears in journals such as PLoS Pathogens, British Journal of Cancer, Annals of Oncology, Breast Cancer Research and PLoS ONE.
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.