Tom Moore
Impact in
- Transplantation top 5%
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- Lymphoma Diagnosis and Treatment
Papers in
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- Cardiovascular and Diving-Related Complications 6
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- Biosimilars and Bioanalytical Methods 4
- Co-authors
- S. K. Hong (6 shared papers)Sarah A. Hosgood (5 shared papers)Yi‐Xin Lin (2 shared papers)William Townsend (3 shared papers)Kaspar Rufibach (2 shared papers)John F. Seymour (2 shared papers)Kiyoshi Ando (2 shared papers)Michael Herold (2 shared papers)
- Journals
- Blood (7 papers)Journal of Applied Physiology (7 papers)Artificial Organs (2 papers)Journal of Translational Medicine (1 paper)Leukemia (1 paper)
- Partner nations
- United KingdomSwitzerlandGermany
In The Last Decade
Tom Moore
24 papers receiving 1.3k citations
Tom Moore's Hit Papers
Peers
Comparison fields: 5 of 96
- Transplantation 73
- Pathology and Forensic Medicine 438
- Genetics 212
- Endocrine and Autonomic Systems 90
- Oncology 346
Countries citing papers authored by Tom Moore
This map shows the geographic impact of Tom Moore'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 Tom Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Moore more than expected).
Fields of papers citing papers by Tom Moore
This network shows the impact of papers produced by Tom Moore. 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 Tom Moore. The network helps show where Tom Moore may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Moore, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Obinutuzumab for the First-Line Treatment of Follicular Lymphoma Hit paper breakdown → | 2017 | 479 |
| 2 | 2017 | 141 | |
| 3 | 1974 | 117 | |
| 4 | 1971 | 91 | |
| 5 | 2018 | 86 | |
| 6 | 2017 | 55 | |
| 7 | 2020 | 51 | |
| 8 | 1972 | 43 | |
| 9 | 2016 | 34 | |
| 10 | 1983 | 31 | |
| 11 | 1970 | 31 | |
| 12 | 2018 | 25 | |
| 13 | 2019 | 24 | |
| 14 | 1973 | 21 | |
| 15 | 2019 | 20 | |
| 16 | 2018 | 20 | |
| 17 | 2015 | 13 | |
| 18 | 2018 | 11 | |
| 19 | 2019 | 11 | |
| 20 | 2019 | 7 |
About Tom Moore
Tom Moore is a scholar working on Pulmonary and Respiratory Medicine, Immunology, Radiology, Nuclear Medicine and Imaging, Surgery and Pathology and Forensic Medicine, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cardiovascular and Diving-Related Complications (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), CAR-T cell therapy research (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Biosimilars and Bioanalytical Methods (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Neuroscience of respiration and sleep (3 papers) and Organ Transplantation Techniques and Outcomes (3 papers). The work is most often cited by research in Transplantation (73 citations), Pathology and Forensic Medicine (438 citations), Genetics (212 citations), Endocrine and Autonomic Systems (90 citations) and Oncology (346 citations). Tom Moore has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include S. K. Hong, Sarah A. Hosgood, Yi‐Xin Lin, William Townsend, Kaspar Rufibach, John F. Seymour, Kiyoshi Ando, Michael Herold, Elizabeth H. Phillips and Robert Marcus. Their work appears in journals such as Blood, Journal of Applied Physiology, Artificial Organs, Journal of Translational Medicine and Leukemia.
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.