Mark J. Rutherford

4.9k total citations
90 papers, 2.0k citations indexed

About

Mark J. Rutherford is a scholar working on Oncology, Economics and Econometrics and Statistics and Probability. According to data from OpenAlex, Mark J. Rutherford has authored 90 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Oncology, 33 papers in Economics and Econometrics and 17 papers in Statistics and Probability. Recurrent topics in Mark J. Rutherford's work include Global Cancer Incidence and Screening (33 papers), Colorectal Cancer Screening and Detection (29 papers) and Health Systems, Economic Evaluations, Quality of Life (28 papers). Mark J. Rutherford is often cited by papers focused on Global Cancer Incidence and Screening (33 papers), Colorectal Cancer Screening and Detection (29 papers) and Health Systems, Economic Evaluations, Quality of Life (28 papers). Mark J. Rutherford collaborates with scholars based in United Kingdom, Sweden and Norway. Mark J. Rutherford's co-authors include Paul C. Lambert, Isabelle Soerjomataram, Freddie Bray, Jacques Ferlay, Elisabete Weiderpass, Joannie Lortet‐Tieulent, Paul W. Dickman, Michael J. Crowther, Therése Andersson and John R. Thompson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Gut.

In The Last Decade

Mark J. Rutherford

82 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark J. Rutherford United Kingdom 23 726 384 299 290 258 90 2.0k
Thomas E. Delea United States 26 763 1.1× 529 1.4× 131 0.4× 298 1.0× 378 1.5× 136 2.4k
Sandra Eloranta Sweden 31 957 1.3× 290 0.8× 512 1.7× 412 1.4× 180 0.7× 125 3.1k
Lisa M. Hess United States 24 785 1.1× 796 2.1× 150 0.5× 197 0.7× 330 1.3× 145 2.4k
Bonnie Lau United States 16 337 0.5× 188 0.5× 226 0.8× 455 1.6× 105 0.4× 34 1.8k
Aakash Desai United States 23 797 1.1× 380 1.0× 249 0.8× 355 1.2× 253 1.0× 139 1.9k
Aurélien Latouche France 24 338 0.5× 225 0.6× 267 0.9× 129 0.4× 253 1.0× 62 2.2k
George Dranitsaris Canada 28 774 1.1× 247 0.6× 148 0.5× 350 1.2× 449 1.7× 105 2.3k
Mayur M. Amonkar United States 28 1.2k 1.7× 388 1.0× 292 1.0× 263 0.9× 347 1.3× 98 2.6k
Julien Péron France 28 1.0k 1.4× 453 1.2× 152 0.5× 207 0.7× 255 1.0× 121 2.1k
John Hornberger United States 21 282 0.4× 278 0.7× 281 0.9× 143 0.5× 624 2.4× 42 2.8k

Countries citing papers authored by Mark J. Rutherford

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Rutherford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark J. Rutherford. 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 Mark J. Rutherford. The network helps show where Mark J. Rutherford may publish in the future.

Co-authorship network of co-authors of Mark J. Rutherford

This figure shows the co-authorship network connecting the top 25 collaborators of Mark J. Rutherford. A scholar is included among the top collaborators of Mark J. Rutherford 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 Mark J. Rutherford. Mark J. Rutherford 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.
Vernon, Sally, Lizz Paley, Florian A. Wenzl, et al.. (2025). Impact of a recent cancer diagnosis on bleeding risk after myocardial infarction. Heart. heartjnl–2025.
2.
Abiodun, Aderonke, Chengsheng Ju, Catherine Welch, et al.. (2025). Fluoropyrimidine Chemotherapy and the Risk of Death and Cardiovascular Events in Patients With Gastrointestinal Cancer. JACC CardioOncology. 7(4). 345–356. 3 indexed citations
3.
Lambert, Paul C., et al.. (2025). Monitoring Temporal Trends in Cancer Survival: Choosing Appropriate Standards When Accounting for Age and Other-Cause Mortality Variation Over Time. Cancer Epidemiology Biomarkers & Prevention. 34(7). 1141–1148.
4.
5.
Lambert, Paul C., et al.. (2024). The long-lasting impacts of the COVID-19 pandemic on population-based cancer survival: what are the implications for data analysis?. British Journal of Cancer. 132(8). 673–678. 1 indexed citations
6.
Rutherford, Mark J., et al.. (2023). Fair comparisons of cause-specific and relative survival by accounting for the systematic removal of patients from risk-sets. Cancer Epidemiology. 86. 102408–102408. 1 indexed citations
7.
Teece, Lucy, Michael Sweeting, Marlous Hall, et al.. (2023). Impact of a Prior Cancer Diagnosis on Quality of Care and Survival Following Acute Myocardial Infarction: Retrospective Population-Based Cohort Study in England. Circulation Cardiovascular Quality and Outcomes. 16(6). e009236–e009236. 4 indexed citations
8.
9.
Andersson, Therése, Mark J. Rutherford, Bjørn Møller, Paul C. Lambert, & Tor Åge Myklebust. (2022). Reference-Adjusted Loss in Life Expectancy for Population-Based Cancer Patient Survival Comparisons—with an Application to Colon Cancer in Sweden. Cancer Epidemiology Biomarkers & Prevention. 31(9). 1720–1726. 6 indexed citations
10.
Rutherford, Mark J., et al.. (2022). Estimating causal effects in the presence of competing events using regression standardisation with the Stata command standsurv. BMC Medical Research Methodology. 22(1). 226–226. 14 indexed citations
11.
Rutherford, Mark J., Melina Arnold, Aude Bardot, et al.. (2021). Comparison of liver cancer incidence and survival by subtypes across seven high‐income countries. International Journal of Cancer. 149(12). 2020–2031. 66 indexed citations
12.
Lambert, Paul C., et al.. (2021). Direct modelling of age standardized marginal relative survival through incorporation of time-dependent weights. BMC Medical Research Methodology. 21(1). 84–84. 4 indexed citations
13.
Riley, Richard D, Gary S. Collins, Joie Ensor, et al.. (2021). Minimum sample size calculations for external validation of a clinical prediction model with a time‐to‐event outcome. Statistics in Medicine. 41(7). 1280–1295. 56 indexed citations
14.
Andersson, Therése, Tor Åge Myklebust, Mark J. Rutherford, et al.. (2021). The impact of excluding or including Death Certificate Initiated (DCI) cases on estimated cancer survival: A simulation study. Cancer Epidemiology. 71(Pt A). 101881–101881. 12 indexed citations
15.
Lambert, Paul C., et al.. (2020). Understanding the impact of sex and stage differences on melanoma cancer patient survival: a SEER-based study. British Journal of Cancer. 124(3). 671–677. 34 indexed citations
16.
Alabas, Oras, Tomas Jernberg, Mar Pujades‐Rodríguez, et al.. (2019). Statistics on mortality following acute myocardial infarction in 842 897 Europeans. Cardiovascular Research. 116(1). 149–157. 29 indexed citations
17.
Fernández-García, Daniel, Allison Hills, Karen Page, et al.. (2019). Plasma cell-free DNA (cfDNA) as a predictive and prognostic marker in patients with metastatic breast cancer. Breast Cancer Research. 21(1). 149–149. 92 indexed citations
18.
Rutherford, Mark J., Gary Abel, D. Greenberg, Paul C. Lambert, & Georgios Lyratzopoulos. (2015). The impact of eliminating age inequalities in stage at diagnosis on breast cancer survival for older women. British Journal of Cancer. 112(S1). S124–S128. 7 indexed citations
19.
Ahmed, Alia, Zia Ul Mustafa, Mark J. Rutherford, et al.. (2013). PTU-093 Hcc Diagnosed on Surveillance Programmes: impact on Stage and outcome. Gut. 62(Suppl 1). A83.2–A83. 1 indexed citations
20.
Rutherford, Mark J., J. Thompson, & Paul C. Lambert. (2012). Projecting Cancer Incidence using Age-period-cohort Models Incorporating Restricted Cubic Splines. The International Journal of Biostatistics. 8(1). 33–33. 15 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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