James Meehan
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
-
- Enzyme function and inhibition 6
- Oncology 11
- Cancer Cells and Metastasis 4
- HER2/EGFR in Cancer Research 3
- Co-authors
- Mark Gray (24 shared papers)Simon P. Langdon (11 shared papers)Carol Ward (12 shared papers)David J. Argyle (12 shared papers)Carlos Martínez-Pérez (16 shared papers)Arran Turnbull (16 shared papers)Ian Kunkler (10 shared papers)Charlene Kay (13 shared papers)
- Journals
- Journal of Personalized Medicine (4 papers)Frontiers in Oncology (4 papers)Frontiers in Veterinary Science (3 papers)Oncotarget (2 papers)Cancer Research (2 papers)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
James Meehan
40 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 163
- Cancer Research 219
- Immunology 287
- Oncology 272
- Artificial Intelligence 338
- Molecular Biology 495
Countries citing papers authored by James Meehan
This map shows the geographic impact of James Meehan'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 James Meehan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Meehan more than expected).
Fields of papers citing papers by James Meehan
This network shows the impact of papers produced by James Meehan. 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 James Meehan. The network helps show where James Meehan may publish in the future.
Co-authors
The 25 scholars most cited alongside James Meehan, 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 | 1995 | 265 | |
| 2 | TALE-SPIN, an interactive program that writes stories | 1977 | 206 |
| 3 | The metanovel: writing stories by computer. | 1976 | 179 |
| 4 | 2018 | 116 | |
| 5 | 2020 | 113 | |
| 6 | 2020 | 87 | |
| 7 | 2019 | 75 | |
| 8 | 2015 | 73 | |
| 9 | 2018 | 55 | |
| 10 | 2019 | 55 | |
| 11 | 2017 | 50 | |
| 12 | 2016 | 42 | |
| 13 | 2020 | 42 | |
| 14 | 2021 | 38 | |
| 15 | 2019 | 30 | |
| 16 | 2018 | 21 | |
| 17 | 2014 | 21 | |
| 18 | 2021 | 17 | |
| 19 | 2019 | 15 | |
| 20 | 2012 | 14 |
About James Meehan
James Meehan is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Organic Chemistry, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Enzyme function and inhibition (6 papers), Cancer Cells and Metastasis (4 papers), Veterinary Oncology Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Infectious Diseases and Mycology (3 papers), Advanced Breast Cancer Therapies (3 papers), Synthesis and Catalytic Reactions (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Cancer Research (219 citations), Immunology (287 citations), Oncology (272 citations), Artificial Intelligence (338 citations) and Molecular Biology (495 citations). James Meehan has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Mark Gray, Simon P. Langdon, Carol Ward, David J. Argyle, Carlos Martínez-Pérez, Arran Turnbull, Ian Kunkler, Charlene Kay, Jonathan Sporn and T Okino. Their work appears in journals such as Journal of Personalized Medicine, Frontiers in Oncology, Frontiers in Veterinary Science, Oncotarget 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.