Tom Maishman

7.0k total citations
45 papers, 1.1k citations indexed

About

Tom Maishman is a scholar working on Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tom Maishman has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 11 papers in Pathology and Forensic Medicine and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tom Maishman's work include Breast Cancer Treatment Studies (8 papers), CAR-T cell therapy research (6 papers) and Lymphoma Diagnosis and Treatment (5 papers). Tom Maishman is often cited by papers focused on Breast Cancer Treatment Studies (8 papers), CAR-T cell therapy research (6 papers) and Lymphoma Diagnosis and Treatment (5 papers). Tom Maishman collaborates with scholars based in United Kingdom, Germany and United States. Tom Maishman's co-authors include Diana Eccles, Ellen Copson, Lorraine Durcan, Louise Stanton, Ramsey Cutress, J. Louise Jones, Sue Gerty, Bryony Eccles, Peter Simmonds and Jean Abraham and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Tom Maishman

43 papers receiving 1.1k 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 Maishman United Kingdom 18 576 452 235 214 212 45 1.1k
Uwe Güth Switzerland 22 694 1.2× 457 1.0× 165 0.7× 205 1.0× 178 0.8× 102 1.4k
S A Narod Canada 12 548 1.0× 315 0.7× 282 1.2× 245 1.1× 229 1.1× 20 1.0k
Fernando Lara-Medina Mexico 17 487 0.8× 411 0.9× 159 0.7× 201 0.9× 198 0.9× 40 906
Manuela Roncella Italy 21 506 0.9× 429 0.9× 146 0.6× 261 1.2× 137 0.6× 54 1.2k
Henrik Hellborg Sweden 18 667 1.2× 355 0.8× 116 0.5× 337 1.6× 293 1.4× 24 1.2k
Mary Cianfrocca United States 14 869 1.5× 533 1.2× 154 0.7× 232 1.1× 239 1.1× 31 1.3k
Alicia Beeghly‐Fadiel United States 24 529 0.9× 430 1.0× 295 1.3× 433 2.0× 113 0.5× 74 1.3k
Polly Niravath United States 14 456 0.8× 227 0.5× 151 0.6× 195 0.9× 209 1.0× 53 970
Brenda Diergaarde United States 24 531 0.9× 371 0.8× 166 0.7× 577 2.7× 221 1.0× 68 1.5k
Fiona Knox United Kingdom 14 588 1.0× 554 1.2× 415 1.8× 220 1.0× 270 1.3× 26 1.2k

Countries citing papers authored by Tom Maishman

Since Specialization
Citations

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

Fields of papers citing papers by Tom Maishman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Maishman

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Maishman. A scholar is included among the top collaborators of Tom Maishman 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 Maishman. Tom Maishman 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.
Higgins, Benjamín, et al.. (2025). The effect of the ventilation rate on exposure to SARS-CoV-2 in a room with mixing ventilation. Bristol Research (University of Bristol). 2(4). 100129–100129.
2.
Sánchez-Marroquín, Alberto, et al.. (2024). Combining models to generate a consensus effective reproduction numberRfor the COVID-19 epidemic status in England. Epidemiology and Infection. 152. 4 indexed citations
3.
Higgins, Benjamín, et al.. (2022). Modeling the effect of temperature and relative humidity on exposure to SARS‐CoV ‐2 in a mechanically ventilated room. Indoor Air. 32(11). e13146–e13146. 11 indexed citations
4.
Maishman, Tom, et al.. (2022). Statistical methods used to combine the effective reproduction number, R(t), and other related measures of COVID-19 in the UK. Statistical Methods in Medical Research. 31(9). 1757–1777. 17 indexed citations
5.
6.
Burgess, Gary, Stuart J. Armstrong, Tom Maishman, et al.. (2022). Investigation of a combination therapy approach for the treatment of melioidosis. Frontiers in Microbiology. 13. 934312–934312. 6 indexed citations
7.
Maishman, Tom, Philip Boger, Jamie Kelly, et al.. (2021). A Phase II Study of Biodegradable Stents Plus Palliative Radiotherapy in Oesophageal Cancer. Clinical Oncology. 33(5). e225–e231. 4 indexed citations
8.
Bundred, James, Sarah Michael, Nicola Barnes, et al.. (2020). Do surgical margins matter after mastectomy? A systematic review. European Journal of Surgical Oncology. 46(12). 2185–2194. 18 indexed citations
9.
Bate, Jessica, Ray Borrow, Julia Chisholm, et al.. (2019). Thirteen-Valent Pneumococcal Conjugate Vaccine in Children With Acute Lymphoblastic Leukemia: Protective Immunity Can Be Achieved on Completion of Treatment. Clinical Infectious Diseases. 71(5). 1271–1280. 9 indexed citations
10.
Moore, Michael, Fran Webley, Mike Radford, et al.. (2019). Uva-ursi extract and ibuprofen as alternative treatments for uncomplicated urinary tract infection in women (ATAFUTI): a factorial randomized trial. Clinical Microbiology and Infection. 25(8). 973–980. 38 indexed citations
11.
12.
Papadakis, Emmanouil, et al.. (2017). BAG-1 as a biomarker in early breast cancer prognosis: a systematic review with meta-analyses. British Journal of Cancer. 116(12). 1585–1594. 19 indexed citations
13.
Kadalayil, Latha, Sofia Khan, Heli Nevanlinna, et al.. (2017). Germline variation in ADAMTSL1 is associated with prognosis following breast cancer treatment in young women. Nature Communications. 8(1). 1632–1632. 19 indexed citations
14.
Arriola, Edurne, Matthew Wheater, Ian Galea, et al.. (2016). Outcome and Biomarker Analysis from a Multicenter Phase 2 Study of Ipilimumab in Combination with Carboplatin and Etoposide as First-Line Therapy for Extensive-Stage SCLC. Journal of Thoracic Oncology. 11(9). 1511–1521. 97 indexed citations
15.
Maishman, Tom, Ramsey Cutress, Sue Gerty, et al.. (2016). Local Recurrence and Breast Oncological Surgery in Young Women With Breast Cancer. Annals of Surgery. 266(1). 165–172. 79 indexed citations
16.
Eccles, Diana, Na Li, Tom Maishman, et al.. (2015). Genetic testing in a cohort of young patients with HER2-amplified breast cancer. Annals of Oncology. 27(3). 467–473. 20 indexed citations
17.
Copson, Ellen, et al.. (2015). Understanding of BRCA VUS genetic results by breast cancer specialists. BMC Cancer. 15(1). 936–936. 85 indexed citations
18.
Copson, Ellen, Ramsey Cutress, Tom Maishman, et al.. (2014). Obesity and the outcome of young breast cancer patients in the UK: the POSH study. Annals of Oncology. 26(1). 101–112. 65 indexed citations
19.
McCann, Donna, Margaret Thompson, David Daley, et al.. (2014). Study protocol for a randomized controlled trial comparing the efficacy of a specialist and a generic parenting programme for the treatment of preschool ADHD. Trials. 15(1). 142–142. 10 indexed citations
20.
Copson, Ellen, Tom Maishman, Susan M. Gerty, et al.. (2013). Ethnicity and outcome of young breast cancer patients in the United Kingdom: the POSH study. British Journal of Cancer. 110(1). 230–241. 56 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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