David S. Guttery
Impact in
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
- Oncology top 5%
- Cancer Cells and Metastasis
Papers in
-
- Cancer Genomics and Diagnostics 25
- Oncology 20
- Cancer Cells and Metastasis 14
- Co-authors
- Yudong Zhang (11 shared papers)Shuihua Wang (5 shared papers)Jacqui Shaw (26 shared papers)Karen Page (18 shared papers)R. Charles Coombes (15 shared papers)Rita Tewari (21 shared papers)J. M. Górriz (3 shared papers)Anthony A. Holder (20 shared papers)
- Journals
- PLoS Pathogens (6 papers)British Journal of Cancer (4 papers)Breast Cancer Research (3 papers)PLoS ONE (3 papers)Life Science Alliance (2 papers)
- Partner nations
- United KingdomSaudi ArabiaChina
In The Last Decade
David S. Guttery
65 papers receiving 2.7k citations
David S. Guttery's Hit Papers
Peers
Comparison fields: 5 of 152
- Cancer Research 983
- Oncology 663
- Parasitology 126
- Radiology, Nuclear Medicine and Imaging 346
- Pathology and Forensic Medicine 253
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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network Hit paper breakdown → | 2020 | 260 |
| 2 | 2020 | 188 | |
| 3 | 2016 | 171 | |
| 4 | 2013 | 152 | |
| 5 | 2011 | 140 | |
| 6 | 2015 | 139 | |
| 7 | 2009 | 103 | |
| 8 | 2019 | 101 | |
| 9 | 2019 | 92 | |
| 10 | 2014 | 91 | |
| 11 | 2016 | 74 | |
| 12 | 2011 | 68 | |
| 13 | 2012 | 63 | |
| 14 | 2020 | 61 | |
| 15 | 2020 | 52 | |
| 16 | 2015 | 45 | |
| 17 | 2020 | 44 | |
| 18 | 2012 | 44 | |
| 19 | 2018 | 43 | |
| 20 | 2015 | 42 |
About David S. Guttery
David S. Guttery is a scholar working on Cancer Research, Oncology, Molecular Biology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 65 papers that have together received 2.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (25 papers), Cancer Cells and Metastasis (14 papers), Genetic factors in colorectal cancer (13 papers), Malaria Research and Control (13 papers), Invertebrate Immune Response Mechanisms (8 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), AI in cancer detection (7 papers) and Microtubule and mitosis dynamics (6 papers). The work is most often cited by research in Cancer Research (983 citations), Oncology (663 citations), Parasitology (126 citations), Radiology, Nuclear Medicine and Imaging (346 citations) and Pathology and Forensic Medicine (253 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 Page, R. Charles Coombes, Rita Tewari, J. M. Górriz, Anthony A. Holder, Suresh Chandra Satapathy and Justin Stebbing. Their work appears in journals such as PLoS Pathogens, British Journal of Cancer, Breast Cancer Research, PLoS ONE and Life Science Alliance.
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.