Gregory D. Ayers
Impact in
- Oncology top 2%
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
- Nephrology top 2%
- Parathyroid Disorders and Treatments
Papers in
- Co-authors
- Jean‐Nicolas Vauthey (2 shared papers)Emily Peterson (1 shared paper)Kevin C. O’Connor (1 shared paper)Eric Garshick (1 shared paper)Mitchel B. Harris (1 shared paper)Leslie R. Morse (1 shared paper)Steven A. Curley (2 shared papers)Yoshihisa Kodama (1 shared paper)
- Journals
- Clinical Cancer Research (5 papers)Journal of Clinical Oncology (5 papers)Blood (5 papers)Cancer (5 papers)Cancer Research (4 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Gregory D. Ayers
82 papers receiving 3.7k citations
Gregory D. Ayers's Hit Papers
Peers
Comparison fields: 5 of 131
- Oncology 1.2k
- Nephrology 280
- Pathology and Forensic Medicine 695
- Cancer Research 441
- Hepatology 191
Countries citing papers authored by Gregory D. Ayers
This map shows the geographic impact of Gregory D. Ayers'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 Gregory D. Ayers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory D. Ayers more than expected).
Fields of papers citing papers by Gregory D. Ayers
This network shows the impact of papers produced by Gregory D. Ayers. 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 Gregory D. Ayers. The network helps show where Gregory D. Ayers may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory D. Ayers, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Traumatic Spinal Cord Injury in the United States, 1993-2012 Hit paper breakdown → | 2015 | 454 |
| 2 | 2007 | 404 | |
| 3 | 2006 | 299 | |
| 4 | 2001 | 201 | |
| 5 | 2010 | 142 | |
| 6 | 2015 | 132 | |
| 7 | 2006 | 110 | |
| 8 | 2013 | 97 | |
| 9 | 2007 | 96 | |
| 10 | 2006 | 90 | |
| 11 | 2016 | 89 | |
| 12 | 2014 | 88 | |
| 13 | 2013 | 81 | |
| 14 | 2010 | 77 | |
| 15 | 2003 | 70 | |
| 16 | 2015 | 70 | |
| 17 | 2021 | 61 | |
| 18 | 2018 | 57 | |
| 19 | 2020 | 56 | |
| 20 | 2003 | 56 |
About Gregory D. Ayers
Gregory D. Ayers is a scholar working on Oncology, Surgery, Molecular Biology, Epidemiology and Pulmonary and Respiratory Medicine, having authored 88 papers that have together received 3.8k indexed citations. Recurring topics across this work include Shoulder Injury and Treatment (12 papers), Cancer Immunotherapy and Biomarkers (9 papers), Shoulder and Clavicle Injuries (9 papers), Immunotherapy and Immune Responses (7 papers), Musculoskeletal pain and rehabilitation (6 papers), Pancreatic and Hepatic Oncology Research (6 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Colorectal Cancer Treatments and Studies (5 papers). The work is most often cited by research in Oncology (1.2k citations), Nephrology (280 citations), Pathology and Forensic Medicine (695 citations), Cancer Research (441 citations) and Hepatology (191 citations). Gregory D. Ayers has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Jean‐Nicolas Vauthey, Emily Peterson, Kevin C. O’Connor, Eric Garshick, Mitchel B. Harris, Leslie R. Morse, Steven A. Curley, Yoshihisa Kodama, Chusilp Charnsangavej and Tsung Teh Wu. Their work appears in journals such as Clinical Cancer Research, Journal of Clinical Oncology, Blood, Cancer and Cancer Research.
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.