Tom Haywood

633 total citations
17 papers, 387 citations indexed

About

Tom Haywood is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tom Haywood has authored 17 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 3 papers in Molecular Biology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tom Haywood's work include Virus-based gene therapy research (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Tom Haywood is often cited by papers focused on Virus-based gene therapy research (3 papers), Radiopharmaceutical Chemistry and Applications (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). Tom Haywood collaborates with scholars based in United States, United Kingdom and Japan. Tom Haywood's co-authors include Sanjiv S. Gambhir, Gayatri Gowrishankar, Idan Steinberg, Aimen Zlitni, Philip W. Miller, Bin Shen, Corinne Beinat, Dawn Holley, Harsh Gandhi and Israt S. Alam and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Cancer Research.

In The Last Decade

Tom Haywood

17 papers receiving 386 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tom Haywood United States	11	128	123	82	75	49	17	387
Takao Tsurubuchi Japan	13	155 1.2×	95 0.8×	56 0.7×	90 1.2×	37 0.8×	48	569
Ruimeng Yang China	15	117 0.9×	88 0.7×	66 0.8×	59 0.8×	20 0.4×	28	457
A. Wunder Germany	9	115 0.9×	96 0.8×	31 0.4×	120 1.6×	32 0.7×	23	380
Carole D. Thomas France	14	159 1.2×	131 1.1×	112 1.4×	96 1.3×	8 0.2×	38	497
Catherine Vayssettes France	14	98 0.8×	73 0.6×	18 0.2×	147 2.0×	66 1.3×	19	549
Lisa S. Ziemer United States	8	103 0.8×	124 1.0×	46 0.6×	61 0.8×	7 0.1×	9	434
Marieke A. Stammes Netherlands	12	139 1.1×	219 1.8×	120 1.5×	164 2.2×	6 0.1×	28	578
Yingding Xu United States	10	237 1.9×	186 1.5×	91 1.1×	103 1.4×	5 0.1×	17	535
Kentaro Mochizuki Japan	14	61 0.5×	177 1.4×	53 0.6×	94 1.3×	7 0.1×	41	509
Klaudia Siwowska Switzerland	9	144 1.1×	36 0.3×	63 0.8×	119 1.6×	18 0.4×	12	338

Countries citing papers authored by Tom Haywood

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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17 of 17 papers shown

Robinson, Elise, Gayatri Gowrishankar, Aloma L. D’Souza, et al.. (2021). Minicircles for a two-step blood biomarker and PET imaging early cancer detection strategy. Journal of Controlled Release. 335. 281–289. 6 indexed citations

Nakamoto, Ryusuke, Valentina Ferri, Heying Duan, et al.. (2021). Pilot-phase PET/CT study targeting integrin αvβ6 in pancreatic cancer patients using the cystine-knot peptide–based 18F-FP-R01-MG-F2. European Journal of Nuclear Medicine and Molecular Imaging. 50(1). 184–193. 15 indexed citations

Nakamoto, Ryusuke, Heying Duan, Valentina Ferri, et al.. (2021). Biodistribution and Safety of 18F-FP-R01-MG-F2 Knottin PET Tracer in Patients with Pancreatic Cancer. 62. 1008–1008. 1 indexed citations

Gabr, Moustafa T., Tom Haywood, Gayatri Gowrishankar, Ananth Srinivasan, & Sanjiv S. Gambhir. (2020). New synthesis of 6″‐[¹⁸F]fluoromaltotriose for positron emission tomography imaging of bacterial infection. Journal of Labelled Compounds and Radiopharmaceuticals. 63(11). 466–475. 6 indexed citations

Murty, Surya, Louai Labanieh, Tara Murty, et al.. (2020). PET Reporter Gene Imaging and Ganciclovir-Mediated Ablation of Chimeric Antigen Receptor T Cells in Solid Tumors. Cancer Research. 80(21). 4731–4740. 28 indexed citations

Zlitni, Aimen, Gayatri Gowrishankar, Idan Steinberg, Tom Haywood, & Sanjiv S. Gambhir. (2020). Maltotriose-based probes for fluorescence and photoacoustic imaging of bacterial infections. Nature Communications. 11(1). 1250–1250. 104 indexed citations

Fuchigami, Takeshi, Tom Haywood, Gayatri Gowrishankar, et al.. (2020). Synthesis and Characterization of 9-(4-[18F]Fluoro-3-(hydroxymethyl)butyl)-2-(phenylthio)-6-oxopurine as a Novel PET Agent for Mutant Herpes Simplex Virus Type 1 Thymidine Kinase Reporter Gene Imaging. Molecular Imaging and Biology. 22(5). 1151–1160. 5 indexed citations

Beinat, Corinne, Chirag B. Patel, Tom Haywood, et al.. (2020). Human biodistribution and radiation dosimetry of [18F]DASA-23, a PET probe targeting pyruvate kinase M2. European Journal of Nuclear Medicine and Molecular Imaging. 47(9). 2123–2130. 6 indexed citations

Fan, Audrey P., Mehdi Khalighi, Jia Guo, et al.. (2019). Identifying Hypoperfusion in Moyamoya Disease With Arterial Spin Labeling and an [ ¹⁵ O]-Water Positron Emission Tomography/Magnetic Resonance Imaging Normative Database. Stroke. 50(2). 373–380. 37 indexed citations

10.

Beinat, Corinne, Gayatri Gowrishankar, Bin Shen, et al.. (2019). The Characterization of ¹⁸F-hGTS13 for Molecular Imaging of x_C⁻ Transporter Activity with PET. Journal of Nuclear Medicine. 60(12). 1812–1817. 11 indexed citations

11.

Beinat, Corinne, Chirag B. Patel, Tom Haywood, et al.. (2019). Evaluation of [18F]DASA-23 for non-invasive measurement of aberrantly expressed pyruvate kinase M2 in glioblastoma: preclinical and first in human studies. 60. 52–52. 1 indexed citations

12.

Haywood, Tom, Corinne Beinat, Gayatri Gowrishankar, et al.. (2019). Positron emission tomography reporter gene strategy for use in the central nervous system. Proceedings of the National Academy of Sciences. 116(23). 11402–11407. 29 indexed citations

13.

Haywood, Tom, et al.. (2018). Ammonium [¹¹C]thiocyanate: revised preparation and reactivity studies of a versatile nucleophile for carbon-11 radiolabelling. MedChemComm. 9(8). 1311–1314. 13 indexed citations

14.

Beinat, Corinne, Tom Haywood, Yun‐Sheng Chen, et al.. (2018). The Utility of [18F]DASA-23 for Molecular Imaging of Prostate Cancer with Positron Emission Tomography. Molecular Imaging and Biology. 20(6). 1015–1024. 10 indexed citations

15.

Fan, Audrey P., Jia Guo, Mehdi Khalighi, et al.. (2017). Long-Delay Arterial Spin Labeling Provides More Accurate Cerebral Blood Flow Measurements in Moyamoya Patients. Stroke. 48(9). 2441–2449. 84 indexed citations

16.

Haywood, Tom, Steven Kealey, Louis Allott, et al.. (2015). Carbon‐11 Radiolabelling of Organosulfur Compounds: ¹¹C Synthesis of the Progesterone Receptor Agonist Tanaproget. Chemistry - A European Journal. 21(25). 9034–9038. 19 indexed citations

17.

Haywood, Tom & Philip W. Miller. (2014). Microfluidic Hydrogenation Reactions by using a Channel‐Supported Rhodium Catalyst. ChemCatChem. 6(5). 1199–1203. 12 indexed citations

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.

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