Tom Moore
- Transplantation top 5%
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- Lymphoma Diagnosis and Treatment 5
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 3
- Endocrine and Autonomic Systems top 10%
- Neuroscience of respiration and sleep 3
- Oncology top 10%
- CAR-T cell therapy research 5
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- Cardiovascular and Diving-Related Complications 6
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- Monoclonal and Polyclonal Antibodies Research 6
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- Biosimilars and Bioanalytical Methods 4
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- Organ Transplantation Techniques and Outcomes 4
- Co-authors
- S. K. HongSarah A. HosgoodYi‐Xin LinWilliam TownsendRandeep SanghaWolfram KlapperKaspar RufibachRudolf Schlag
- Partner nations
- United KingdomSwitzerlandGermany
In The Last Decade
Tom Moore
25 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Transplantation 108
- Pathology and Forensic Medicine 470
- Genetics 251
- Endocrine and Autonomic Systems 102
- Oncology 399
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2020 | 50 | |
| 3 | 2019 | 7 | |
| 4 | 2019 | 24 | |
| 5 | 2019 | 5 | |
| 6 | 2018 | 11 | |
| 7 | 2018 | 20 | |
| 8 | 2018 | 84 | |
| 9 | 2018 | 25 | |
| 10 | 2017 | 55 | |
| 11 | Obinutuzumab for the First-Line Treatment of Follicular Lymphomabreakdown → | 2017 | 461 |
| 12 | 2017 | 134 | |
| 13 | 2015 | 13 | |
| 14 | Water Level Monitoring from Space | 2000 | 1 |
| 15 | 1983 | 31 | |
| 16 | 1976 | 1 | |
| 17 | 1975 | 0 | |
| 18 | 1974 | 116 | |
| 19 | 1972 | 42 | |
| 20 | 1970 | 31 |
About Tom Moore
Tom Moore is a scholar working on Transplantation, Endocrine and Autonomic Systems, Immunology, Pathology and Forensic Medicine and Genetics, having authored 26 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), Organ Transplantation Techniques and Outcomes (4 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Neuroscience of respiration and sleep (3 papers). The work is most often cited by research in Transplantation (108 citations), Pathology and Forensic Medicine (470 citations), Genetics (251 citations), Endocrine and Autonomic Systems (102 citations) and Oncology (399 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, Randeep Sangha, Wolfram Klapper, Kaspar Rufibach, Rudolf Schlag, Michael Wenger and Stephen Opat. Their work appears in journals such as Journal of Applied Physiology, Blood, Artificial Organs, Hematological Oncology and Journal of Translational Medicine.
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.