Tom Denwood

3.6k total citations · 1 hit paper
9 papers, 756 citations indexed

About

Tom Denwood is a scholar working on Oncology, General Health Professions and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tom Denwood has authored 9 papers receiving a total of 756 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in General Health Professions and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tom Denwood's work include COVID-19 and healthcare impacts (6 papers), Acute Myocardial Infarction Research (4 papers) and Healthcare cost, quality, practices (3 papers). Tom Denwood is often cited by papers focused on COVID-19 and healthcare impacts (6 papers), Acute Myocardial Infarction Research (4 papers) and Healthcare cost, quality, practices (3 papers). Tom Denwood collaborates with scholars based in United Kingdom, United States and Switzerland. Tom Denwood's co-authors include Mamas A. Mamas, John Deanfield, Mark de Belder, Chris P Gale, Chris Roebuck, T F Luescher, Raph Goldacre, Marion Mafham, Jianhua Wu and Rory Collins and has published in prestigious journals such as The Lancet, Mayo Clinic Proceedings and Heart.

In The Last Decade

Tom Denwood

8 papers receiving 736 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

COVID-19 pandemic and admission rates for and management of acute coronary syndromes in England

2020 430 citations Marion Mafham, Enti Spata et al. The Lancet profile →

Peers

Tom Denwood

ONCOL

GHP

ID

CCM

EM

Chris Roebuck United Kingdom

T F Luescher Switzerland

Sam Hollings United Kingdom

Giuseppe Maria Sechi Italy

Claudio Mare Italy

Latoya Hill United States

Joshua S Ng-Kamstra Canada

Jolin Wong Singapore

Francesc Fina Spain

Mansoor N. Bangash United Kingdom

Chris Roebuck United Kingdom

Tom Denwood

471 ×0.9

ONCOL

209 ×0.9

GHP

203 ×0.9

ID

161 ×0.9

CCM

118 ×0.9

EM

Citations per year, relative to Tom Denwood Tom Denwood (= 1×) peers Chris Roebuck

Countries citing papers authored by Tom Denwood

Since Specialization

Citations

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

Fields of papers citing papers by Tom Denwood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Denwood

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Hornik, Christoph P., Lesley H. Curtis, Adrian F. Hernandez, et al.. (2023). “Click and mortar” opportunities for digitization and consumerism in trials. Contemporary Clinical Trials. 132. 107304–107304.

2.

Macnair, Archie, Sharon Love, Macey L. Murray, et al.. (2021). Accessing routinely collected health data to improve clinical trials: recent experience of access. Trials. 22(1). 340–340. 18 indexed citations

3.

Kwok, Chun Shing, Chris P Gale, Tim Kinnaird, et al.. (2020). Impact of COVID-19 on percutaneous coronary intervention for ST-elevation myocardial infarction. Heart. 106(23). 1805–1811. 68 indexed citations

4.

Rashid, Muhammad, Chris P Gale, Nick Curzen, et al.. (2020). Impact of Coronavirus Disease 2019 Pandemic on the Incidence and Management of Out‐of‐Hospital Cardiac Arrest in Patients Presenting With Acute Myocardial Infarction in England. Journal of the American Heart Association. 9(22). e018379–e018379. 59 indexed citations

5.

Wu, Jianhua, Mamas A. Mamas, Mohamed O. Mohamed, et al.. (2020). Place and causes of acute cardiovascular mortality during the COVID-19 pandemic. Heart. 107(2). 113–119. 117 indexed citations

6.

Casadei, Barbara, Marion Mafham, Enti Spata, et al.. (2020). Impact of the COVID-19 pandemic on admission rates for, and management of, acute coronary syndromes in England.. The Lancet. 2 indexed citations

7.

Mohamed, Mohamed O., Chris P Gale, Evangelos Kontopantelis, et al.. (2020). Sex Differences in Mortality Rates and Underlying Conditions for COVID-19 Deaths in England and Wales. Mayo Clinic Proceedings. 95(10). 2110–2124. 29 indexed citations

8.

Mafham, Marion, Enti Spata, Raph Goldacre, et al.. (2020). COVID-19 pandemic and admission rates for and management of acute coronary syndromes in England. The Lancet. 396(10248). 381–389. 430 indexed citations breakdown →

9.

Kwok, Chun Shing, Chris P Gale, Nick Curzen, et al.. (2020). Impact of the COVID-19 Pandemic on Percutaneous Coronary Intervention in England. Circulation Cardiovascular Interventions. 13(11). e009654–e009654. 33 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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