Tom N. Durrant
Impact in
- Hematology top 5%
- Platelet Disorders and Treatments
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
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- PI3K/AKT/mTOR signaling in cancer 4
- Protein Kinase Regulation and GTPase Signaling 2
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- Platelet Disorders and Treatments 6
- Co-authors
- Ingeborg Hers (8 shared papers)Marion T.J. van den Bosch (1 shared paper)Len Stephens (4 shared papers)Phillip T. Hawkins (4 shared papers)Karen E. Anderson (4 shared papers)Anna Kielkowska (2 shared papers)Jonathan Clark (2 shared papers)Samantha Moore (6 shared papers)
- Journals
- Clinical and Translational Medicine (1 paper)Biochemical Pharmacology (1 paper)Blood (1 paper)Scientific Reports (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Tom N. Durrant
11 papers receiving 560 citations
Peers
Comparison fields: 5 of 72
- Hematology 177
- Immunology and Allergy 63
- Internal Medicine 21
- Genetics 55
- Cell Biology 86
Countries citing papers authored by Tom N. Durrant
This map shows the geographic impact of Tom N. Durrant'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 N. Durrant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom N. Durrant more than expected).
Fields of papers citing papers by Tom N. Durrant
This network shows the impact of papers produced by Tom N. Durrant. 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 N. Durrant. The network helps show where Tom N. Durrant may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom N. Durrant, 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 | 2017 | 208 | |
| 2 | 2013 | 67 | |
| 3 | 2020 | 65 | |
| 4 | 2013 | 62 | |
| 5 | 2018 | 40 | |
| 6 | 2016 | 38 | |
| 7 | 2017 | 32 | |
| 8 | 2020 | 19 | |
| 9 | 2018 | 12 | |
| 10 | 2019 | 12 | |
| 11 | 2019 | 7 |
About Tom N. Durrant
Tom N. Durrant is a scholar working on Molecular Biology, Hematology, Genetics, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 562 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (6 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cellular transport and secretion (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cell Adhesion Molecules Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Blood properties and coagulation (1 paper) and Heparin-Induced Thrombocytopenia and Thrombosis (1 paper). The work is most often cited by research in Hematology (177 citations), Immunology and Allergy (63 citations), Internal Medicine (21 citations), Genetics (55 citations) and Cell Biology (86 citations). Tom N. Durrant has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Ingeborg Hers, Marion T.J. van den Bosch, Len Stephens, Phillip T. Hawkins, Karen E. Anderson, Anna Kielkowska, Jonathan Clark, Samantha Moore, Izabella Niewczas and Véronique Juvin. Their work appears in journals such as Clinical and Translational Medicine, Biochemical Pharmacology, Blood, Scientific Reports and Proceedings of the National Academy of Sciences.
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.