John Simes

2.1k total citations
30 papers, 1.2k citations indexed

About

John Simes is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health. According to data from OpenAlex, John Simes has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Public Health, Environmental and Occupational Health. Recurrent topics in John Simes's work include Health Systems, Economic Evaluations, Quality of Life (4 papers), Glioma Diagnosis and Treatment (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). John Simes is often cited by papers focused on Health Systems, Economic Evaluations, Quality of Life (4 papers), Glioma Diagnosis and Treatment (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). John Simes collaborates with scholars based in Australia, New Zealand and Canada. John Simes's co-authors include George L. Blackburn, Samuel Klein, Adrienne Kirby, Wendy Hague, Anthony Keech, Alexander Gallus, Rebecca Mister, Harry Gibbs, Rafael Dı́az and K. Mann and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Circulation.

In The Last Decade

John Simes

29 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Simes Australia 11 308 287 275 179 160 30 1.2k
Miłosz Jankowski Poland 18 416 1.4× 161 0.6× 417 1.5× 66 0.4× 203 1.3× 50 1.5k
David D. Stenehjem United States 18 318 1.0× 438 1.5× 239 0.9× 626 3.5× 402 2.5× 113 1.8k
Dimitrios Tziakas Greece 27 909 3.0× 125 0.4× 404 1.5× 202 1.1× 373 2.3× 102 2.1k
Meng‐Jiun Chiou Taiwan 17 415 1.3× 107 0.4× 221 0.8× 150 0.8× 103 0.6× 39 1.3k
Ann Alexis Prestrud United States 11 348 1.1× 477 1.7× 869 3.2× 685 3.8× 305 1.9× 19 2.5k
Édouard Ollier France 21 210 0.7× 140 0.5× 331 1.2× 123 0.7× 112 0.7× 73 1.1k
Ladislav Pecen Czechia 26 772 2.5× 180 0.6× 424 1.5× 555 3.1× 713 4.5× 132 2.5k
Nikolai C. Brun Denmark 22 443 1.4× 187 0.7× 307 1.1× 181 1.0× 204 1.3× 41 4.2k
Tadeusz Osadnik Poland 21 489 1.6× 57 0.2× 360 1.3× 230 1.3× 108 0.7× 71 1.2k

Countries citing papers authored by John Simes

Since Specialization
Citations

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

Fields of papers citing papers by John Simes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Simes

This figure shows the co-authorship network connecting the top 25 collaborators of John Simes. A scholar is included among the top collaborators of John Simes 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 John Simes. John Simes 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
3.
Titmuss, Emma, Dongsheng Tu, Stephanie Yasmin Brule, et al.. (2024). Transverse Colon Primary Tumor Location as a Biomarker in Metastatic Colorectal Cancer: A Pooled Analysis of CCTG/AGITG CO.17 and CO.20 Randomized Clinical Trials. Clinical Cancer Research. 30(6). 1121–1130. 3 indexed citations
5.
Lin, Frank, John P. Grady, Christine E. Napier, et al.. (2024). Impact of artificial intelligence (AI) decision support on clinical trial participation: A before-after implementation study on a nationwide molecular tumor board.. Journal of Clinical Oncology. 42(16_suppl). 1557–1557. 1 indexed citations
6.
Cheyne, Saskia, et al.. (2022). Extrapolating evidence for molecularly targeted therapies from common to rare cancers: a scoping review of methodological guidance. BMJ Open. 12(7). e058350–e058350. 2 indexed citations
7.
Kansara, Maya, Neeru Bhardwaj, Subotheni Thavaneswaran, et al.. (2022). Early circulating tumor DNA dynamics as a pan‐tumor biomarker for long‐term clinical outcome in patients treated with durvalumab and tremelimumab. Molecular Oncology. 17(2). 298–311. 6 indexed citations
8.
Keane, Celia, Greg O’Grady, Ian Bissett, et al.. (2022). Functional Outcome of Laparoscopic-Assisted Resection Versus Open Resection of Rectal Cancer: A Secondary Analysis of the Australasian Laparoscopic Cancer of the Rectum Trial.. Diseases of the Colon & Rectum. 65(7). e698–e706. 4 indexed citations
9.
Lin, Frank, Subotheni Thavaneswaran, John P. Grady, et al.. (2021). Criteria-based curation of a therapy-focused compendium to support treatment recommendations in precision oncology. npj Precision Oncology. 5(1). 58–58. 6 indexed citations
10.
Briffa, Tom, Nikolajs Zeps, Nicola Straiton, et al.. (2021). Normalising comparative effectiveness trials as clinical practice. Trials. 22(1). 620–620. 3 indexed citations
11.
Rankin, Nicole, Michelle Lai, Danielle Miller, et al.. (2017). Cancer multidisciplinary team meetings in practice: Results from a multi‐institutional quantitative survey and implications for policy change. Asia-Pacific Journal of Clinical Oncology. 14(1). 74–83. 48 indexed citations
12.
Mundra, Piyushkumar A., Christopher K. Barlow, Paul J. Nestel, et al.. (2016). Abstract 17413: Plasma Lipidomic Profiles in Two Large Independent Cohorts Improve Upon Conventional Risk Factors to Predict Cardiovascular Events. Circulation. 134. 1 indexed citations
13.
Field, Kathryn, John Simes, Anna K. Nowak, et al.. (2015). Randomized phase 2 study of carboplatin and bevacizumab in recurrent glioblastoma. Neuro-Oncology. 17(11). 1504–1513. 113 indexed citations
14.
Tonkin, Andrew, Stefan Blankenberg, Adrienne Kirby, et al.. (2015). Biomarkers in stable coronary heart disease, their modulation and cardiovascular risk: The LIPID biomarker study. International Journal of Cardiology. 201. 499–507. 39 indexed citations
15.
Brighton, Timothy, John W. Eikelboom, K. Mann, et al.. (2012). Low-Dose Aspirin for Preventing Recurrent Venous Thromboembolism. New England Journal of Medicine. 367(21). 1979–1987. 386 indexed citations
16.
Baigent, Colin, Anthony Keech, Patricia M. Kearney, et al.. (2008). Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90 056 participants in 14 randomised controlled trials of statins (vol 366, pg 1267, 2005). Oxford University Research Archive (ORA) (University of Oxford). 9 indexed citations
17.
Söderberg, Stefan, David Colquhoun, Anthony Keech, et al.. (2008). Leptin, but not adiponectin, is a predictor of recurrent cardiovascular events in men: results from the LIPID study. International Journal of Obesity. 33(1). 123–130. 43 indexed citations
18.
Kearney, Patricia M., Anthony Keech, John Simes, Rory Collins, & Colin Baigent. (2008). Statins and diabetes – Authors' reply. The Lancet. 371(9626). 1752–1752. 134 indexed citations
19.
Mittmann, Nicole, Dongsheng Tu, Chris J. O’Callaghan, et al.. (2008). A prospective economic analysis of cost-effectiveness of cetuximab for metastatic colorectal cancer patients from the NCIC CTG and AGITG CO.17 trial. Journal of Clinical Oncology. 26(15_suppl). 6528–6528. 1 indexed citations
20.
Kramer, Judith M., L. Kristin Newby, John Simes, et al.. (2002). Opportunities for enhancing the use of evidence-based medicines for acute coronary syndromes: insights from the SYMPHONY studies. Journal of the American College of Cardiology. 39. 303–303. 1 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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