Tom Newman

4.6k total citations
23 papers, 452 citations indexed

About

Tom Newman is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tom Newman has authored 23 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tom Newman's work include Cardiac Imaging and Diagnostics (7 papers), Coronary Interventions and Diagnostics (7 papers) and Acute Myocardial Infarction Research (4 papers). Tom Newman is often cited by papers focused on Cardiac Imaging and Diagnostics (7 papers), Coronary Interventions and Diagnostics (7 papers) and Acute Myocardial Infarction Research (4 papers). Tom Newman collaborates with scholars based in United Kingdom, United States and Netherlands. Tom Newman's co-authors include Stephen H. Dinwiddie, Joseph White, Christoph Benning, John B. Ohlrogge, Jan G. Jaworski, Thomas Girke, Mansour Samadpour, Karen R Steingart, Paul Morris and Lindsay Wilson and has published in prestigious journals such as American Journal of Psychiatry, American Journal of Clinical Nutrition and PLANT PHYSIOLOGY.

In The Last Decade

Tom Newman

17 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Newman United Kingdom 7 142 132 78 69 53 23 452
Emi Okamoto Japan 17 263 1.9× 97 0.7× 163 2.1× 4 0.1× 28 0.5× 37 692
Bénédicte Allam‐Ndoul Canada 9 279 2.0× 17 0.1× 86 1.1× 40 0.6× 8 0.2× 12 557
Fatemeh Heydarpour Iran 12 80 0.6× 55 0.4× 57 0.7× 4 0.1× 8 0.2× 47 394
Luiz Erlon Araújo Rodrigues Brazil 9 60 0.4× 82 0.6× 31 0.4× 9 0.1× 5 0.1× 30 440
B. Sesikeran India 11 99 0.7× 46 0.3× 65 0.8× 9 0.1× 3 0.1× 24 393
Manuela B. Sangoi Brazil 14 66 0.5× 31 0.2× 83 1.1× 6 0.1× 4 0.1× 24 447
Bret Rust United States 10 347 2.4× 48 0.4× 73 0.9× 6 0.1× 9 0.2× 25 626
R.E. Dinterman United States 8 75 0.5× 42 0.3× 49 0.6× 12 0.2× 8 0.2× 14 496
Qiufang Li China 12 292 2.1× 22 0.2× 88 1.1× 5 0.1× 6 0.1× 46 576
Suleiman Al‐Hammadi United Arab Emirates 15 43 0.3× 113 0.9× 31 0.4× 3 0.0× 10 0.2× 40 509

Countries citing papers authored by Tom Newman

Since Specialization
Citations

This map shows the geographic impact of Tom Newman'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 Newman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Newman more than expected).

Fields of papers citing papers by Tom Newman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Newman. 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 Newman. The network helps show where Tom Newman may publish in the future.

Co-authorship network of co-authors of Tom Newman

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Newman. A scholar is included among the top collaborators of Tom Newman 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 Newman. Tom Newman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Taylor, Daniel, Thiruni Adikari, Tom Newman, et al.. (2025). Invasive validation of novel 1D models for computation of coronary fractional flow reserve. Cardiovascular Research. 121(14). 2233–2245.
2.
3.
Taylor, Daniel, Andrew Narracott, Tom Newman, et al.. (2025). Derivation and sensitivity analysis of a novel one-dimensional model of coronary blood flow accounting for vessel taper and boundary slip. American Journal of Physiology-Heart and Circulatory Physiology. 329(5). H1033–H1046. 1 indexed citations
4.
Newman, Tom & Jason S. Knight. (2025). Antiphospholipid Syndrome: An Antibody‐Mediated Disease With Emerging Therapeutic Opportunities. Arthritis & Rheumatology. 77(12). 1626–1634. 2 indexed citations
5.
Taylor, Daniel, Ian Halliday, Tom Newman, et al.. (2024). Systematic review and meta-analysis of Murray’s law in the coronary arterial circulation. American Journal of Physiology-Heart and Circulatory Physiology. 327(1). H182–H190. 5 indexed citations
6.
Taylor, Daniel, Ian Halliday, Tom Newman, et al.. (2024). Evaluation of models of sequestration flow in coronary arteries—Physiology versus anatomy?. Computers in Biology and Medicine. 173. 108299–108299. 4 indexed citations
7.
Newman, Tom, Dipankar Choudhury, Ian Halliday, et al.. (2023). Rapid virtual fractional flow reserve using 3D computational fluid dynamics. European Heart Journal - Digital Health. 4(4). 283–290. 3 indexed citations
8.
Taylor, Daniel, Rebecca Gosling, Tom Newman, et al.. (2023). Sex differences in coronary microvascular resistance measured by a computational fluid dynamics model. Frontiers in Cardiovascular Medicine. 10. 1159160–1159160. 6 indexed citations
9.
Brown, Michael, Megan Plowright, Katie Drury, et al.. (2022). Demographics and Outcomes of Initial Phase of COVID-19 Medicines Delivery Units Across 4 UK Centers During Peak B1.1.529 Omicron Epidemic: A Service Evaluation. Open Forum Infectious Diseases. 9(10). ofac527–ofac527. 2 indexed citations
10.
Gosling, Rebecca, Tom Newman, D. Rodney Hose, et al.. (2022). The Complementary Value of Absolute Coronary Flow in the Assessment of Patients with Ischaemic Heart Disease. Nature Cardiovascular Research. 1(7). 611–616. 6 indexed citations
11.
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Morris, Paul, Rebecca Gosling, Gareth Williams, et al.. (2021). Virtual (Computed) Fractional Flow Reserve: Future Role in Acute Coronary Syndromes. Frontiers in Cardiovascular Medicine. 8. 735008–735008. 8 indexed citations
13.
Richter, Sophie, Tom Newman, Lindsay Wilson, et al.. (2020). Study Design Features Associated with Patient Attrition in Studies of Traumatic Brain Injury: A Systematic Review. Journal of Neurotrauma. 37(17). 1845–1853. 6 indexed citations
14.
Stroman, Luke, Tom Newman, Marios Hadjipavlou, et al.. (2020). MP81-18 A SWITCH FROM TRANSRECTAL BIOPSY TO COGNITIVE FREEHAND TRANSPERINEAL PROSTATE BIOPSY CAN REDUCE SEPSIS WHERE TARGETED ANTIBIOTICS FOR RESISTANT RECTAL FLORA HAVE FAILED. The Journal of Urology. 203(Supplement 4). 1 indexed citations
15.
Richter, Sophie, Tom Newman, Lindsay Wilson, et al.. (2019). Handling of Missing Outcome Data in Traumatic Brain Injury Research: A Systematic Review. Journal of Neurotrauma. 36(19). 2743–2752. 28 indexed citations
16.
Newman, Tom, et al.. (2018). Spontaneous splenic rupture and factor VII deficiency in a child with Noonan syndrome. Journal of Pediatric Surgery Case Reports. 38. 31–33.
17.
Кутырева, М. П., et al.. (2016). Hyperbranched polyester poly(3-diethylaminepropionate)s and their copper(II) complexes: Synthesis, characterization and biological investigation. Inorganica Chimica Acta. 450. 101–111. 13 indexed citations
18.
Aronow, Wilbert S., et al.. (2009). Testing for tuberculosis infection.. PubMed. 34(3-4). 151–8. 2 indexed citations
19.
Dinwiddie, Stephen H., et al.. (2002). Prevalence of Hepatitis C Among Psychiatric Patients in the Public Sector. American Journal of Psychiatry. 160(1). 172–174. 68 indexed citations
20.
Samadpour, Mansour, et al.. (2002). Laboratory investigation of an E. coli O157:H7 outbreak associated with swimming in Battle Ground Lake, Vancouver, Washington.. PubMed. 64(10). 16–20, 26, 25. 37 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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