Gary J. Doherty
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Aging top 5%
Papers in
-
- Lung Cancer Treatments and Mutations 6
- Lung Cancer Diagnosis and Treatment 4
- Co-authors
- Harvey T. McMahon (7 shared papers)Daniel Muñoz‐Espín (5 shared papers)Estela González‐Gualda (3 shared papers)Marta Pàez‐Ribes (3 shared papers)Richard Lundmark (4 shared papers)Claire M. Connell (1 shared paper)Pippa Corrie (4 shared papers)Yvonne Vallis (4 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)ESMO Open (3 papers)Journal of Thoracic Oncology (2 papers)Annals of Oncology (2 papers)Cancer Research (2 papers)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Gary J. Doherty
42 papers receiving 4.2k citations
Gary J. Doherty's Hit Papers
Peers
Comparison fields: 5 of 133
- Cell Biology 1.1k
- Aging 84
- Molecular Biology 2.3k
- Biomaterials 389
- Physiology 658
Countries citing papers authored by Gary J. Doherty
This map shows the geographic impact of Gary J. Doherty'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 Gary J. Doherty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary J. Doherty more than expected).
Fields of papers citing papers by Gary J. Doherty
This network shows the impact of papers produced by Gary J. Doherty. 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 Gary J. Doherty. The network helps show where Gary J. Doherty may publish in the future.
Co-authors
The 25 scholars most cited alongside Gary J. Doherty, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mechanisms of Endocytosis Hit paper breakdown → | 2009 | 2306 |
| 2 | 2008 | 272 | |
| 3 | 2019 | 225 | |
| 4 | 2020 | 209 | |
| 5 | 2008 | 181 | |
| 6 | 2020 | 129 | |
| 7 | 2017 | 120 | |
| 8 | 2017 | 110 | |
| 9 | 2017 | 96 | |
| 10 | 2008 | 83 | |
| 11 | 2017 | 56 | |
| 12 | 2023 | 55 | |
| 13 | 2022 | 49 | |
| 14 | 2011 | 44 | |
| 15 | 2012 | 37 | |
| 16 | 2009 | 34 | |
| 17 | 2022 | 31 | |
| 18 | 2020 | 27 | |
| 19 | 2023 | 23 | |
| 20 | 2022 | 18 |
About Gary J. Doherty
Gary J. Doherty is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Physiology and Cancer Research, having authored 44 papers that have together received 4.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Cellular transport and secretion (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), Lung Cancer Treatments and Mutations (6 papers), Telomeres, Telomerase, and Senescence (5 papers), Lung Cancer Diagnosis and Treatment (4 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Cell Biology (1.1k citations), Aging (84 citations), Molecular Biology (2.3k citations), Biomaterials (389 citations) and Physiology (658 citations). Gary J. Doherty has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Harvey T. McMahon, Daniel Muñoz‐Espín, Estela González‐Gualda, Marta Pàez‐Ribes, Richard Lundmark, Claire M. Connell, Pippa Corrie, Yvonne Vallis, Margaret A. Tempero and Mark T. Howes. Their work appears in journals such as Journal of Clinical Oncology, ESMO Open, Journal of Thoracic Oncology, Annals of Oncology 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.