Tom Haywood
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Rheumatology
- Co-authors
- Sanjiv S. GambhirGayatri GowrishankarIdan SteinbergAimen ZlitniPhilip W. MillerBin ShenIsrat S. AlamCorinne Beinat
- Topics
- Virus-based gene therapy research (3 papers)Radiopharmaceutical Chemistry and Applications (3 papers)Cancer, Hypoxia, and Metabolism (3 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Tom Haywood
17 papers receiving 386 citations
Peers
Comparison fields: 5 of 72
- Radiology, Nuclear Medicine and Imaging 128
- Biomedical Engineering 123
- Pulmonary and Respiratory Medicine 82
- Molecular Biology 75
- Rheumatology 49
Countries citing papers authored by Tom Haywood
This map shows the geographic impact of Tom Haywood'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 Haywood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Haywood more than expected).
Fields of papers citing papers by Tom Haywood
This network shows the impact of papers produced by Tom Haywood. 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 Haywood. The network helps show where Tom Haywood may publish in the future.
Co-authorship network of co-authors of Tom Haywood
This figure shows the co-authorship network connecting the top 25 collaborators of Tom Haywood. A scholar is included among the top collaborators of Tom Haywood 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 Tom Haywood. Tom Haywood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 15 | |
| 3 | Biodistribution and Safety of 18F-FP-R01-MG-F2 Knottin PET Tracer in Patients with Pancreatic Cancer | 1 |
| 4 | 28 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 104 | |
| 8 | 6 | |
| 9 | 11 | |
| 10 | 37 | |
| 11 | Evaluation of [18F]DASA-23 for non-invasive measurement of aberrantly expressed pyruvate kinase M2 in glioblastoma: preclinical and first in human studies | 1 |
| 12 | 29 | |
| 13 | 13 | |
| 14 | 10 | |
| 15 | 84 | |
| 16 | 19 | |
| 17 | 12 |
About Tom Haywood
Tom Haywood is a scholar working on Immunology and Allergy, Pharmaceutical Science and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 387 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (128 citations), Rheumatology (49 citations) and Biomedical Engineering (123 citations). Tom Haywood has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Sanjiv S. Gambhir, Gayatri Gowrishankar, Idan Steinberg, Aimen Zlitni, Philip W. Miller, Bin Shen, Israt S. Alam, Corinne Beinat, Mehdi Khalighi and Harsh Gandhi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications 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.