Trevor J. Hallam
- Molecular Biology top 2%
- Physiology top 2%
- Cellular and Molecular Neuroscience top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Radiology, Nuclear Medicine and Imaging top 2%
- Co-authors
- T J RinkAna SánchezRon JacobJeremy D. PearsonJ E MerrittJ B LansmanJanet E. MerrittKitty Moores
- Topics
- Monoclonal and Polyclonal Antibodies Research (18 papers)Receptor Mechanisms and Signaling (11 papers)Platelet Disorders and Treatments (8 papers)
- Journals
- NatureBloodThe Journal of Immunology
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Trevor J. Hallam
69 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Molecular Biology 3.5k
- Physiology 1.2k
- Cellular and Molecular Neuroscience 1.1k
- Cardiology and Cardiovascular Medicine 704
- Radiology, Nuclear Medicine and Imaging 605
Countries citing papers authored by Trevor J. Hallam
This map shows the geographic impact of Trevor J. Hallam'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 Trevor J. Hallam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trevor J. Hallam more than expected).
Fields of papers citing papers by Trevor J. Hallam
This network shows the impact of papers produced by Trevor J. Hallam. 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 Trevor J. Hallam. The network helps show where Trevor J. Hallam may publish in the future.
Co-authorship network of co-authors of Trevor J. Hallam
This figure shows the co-authorship network connecting the top 25 collaborators of Trevor J. Hallam. A scholar is included among the top collaborators of Trevor J. Hallam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Trevor J. Hallam. Trevor J. Hallam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 8 | |
| 3 | 16 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 76 | |
| 7 | 54 | |
| 8 | 10 | |
| 9 | 1 | |
| 10 | 48 | |
| 11 | 82 | |
| 12 | 147 | |
| 13 | 30 | |
| 14 | 17 | |
| 15 | SK&F 96365, a novel inhibitor of receptor-mediated calcium entrybreakdown → | 712 |
| 16 | 69 | |
| 17 | 124 | |
| 18 | 361 | |
| 19 | 266 | |
| 20 | Diacylglycerol and phorbol ester stimulate secretion without raising cytoplasmic free calcium in human plateletsbreakdown → | 506 |
About Trevor J. Hallam
Trevor J. Hallam is a scholar working on Hematology, Toxicology and Radiology, Nuclear Medicine and Imaging, having authored 70 papers that have together received 5.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (18 papers), Receptor Mechanisms and Signaling (11 papers) and Platelet Disorders and Treatments (8 papers). The work is most often cited by research in Sensory Systems (552 citations), Physiology (392 citations) and Cellular and Molecular Neuroscience (1.1k citations). Trevor J. Hallam has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include T J Rink, Ana Sánchez, Ron Jacob, Jeremy D. Pearson, J E Merritt, J B Lansman, Janet E. Merritt, Kitty Moores, Sandra E. Wilkinson and Albert Jaxa‐Chamiec. Their work appears in journals such as Nature, Blood and The Journal of Immunology.
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.