Gordon Wishart

10.8k total citations
74 papers, 2.5k citations indexed

About

Gordon Wishart is a scholar working on Cancer Research, Oncology and Surgery. According to data from OpenAlex, Gordon Wishart has authored 74 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cancer Research, 33 papers in Oncology and 19 papers in Surgery. Recurrent topics in Gordon Wishart's work include Breast Cancer Treatment Studies (37 papers), Global Cancer Incidence and Screening (18 papers) and Breast Lesions and Carcinomas (14 papers). Gordon Wishart is often cited by papers focused on Breast Cancer Treatment Studies (37 papers), Global Cancer Incidence and Screening (18 papers) and Breast Lesions and Carcinomas (14 papers). Gordon Wishart collaborates with scholars based in United Kingdom, United States and Netherlands. Gordon Wishart's co-authors include John R. Benson, David Greenberg, Charles B. Wilson, Jem Rashbass, Charlotte E. Coles, Carlos Caldas, Jennifer Wilkinson, Elizabeth M. Azzato, A.M. Moody and Gillian C. Barnett and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Scientific Reports.

In The Last Decade

Gordon Wishart

68 papers receiving 2.4k citations

Peers

Gordon Wishart

ONCOL

SURGE

RNMI

PFM

Rinaa S. Punglia United States

John H. Maduro Netherlands

Robert H. Oishi United States

John S. Bolton United States

Suzanne Klimberg United States

Anne Eaton United States

Elaine S. Wai Canada

Monique G. Lê France

Herman Høst Norway

Ju Hyun Shim South Korea

Rinaa S. Punglia United States

Gordon Wishart

1.3k ×1.0

1.2k ×1.3

ONCOL

550 ×0.9

SURGE

513 ×0.9

RNMI

578 ×1.1

PFM

Citations per year, relative to Gordon Wishart Gordon Wishart (= 1×) peers Rinaa S. Punglia

Countries citing papers authored by Gordon Wishart

Since Specialization

Citations

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

Fields of papers citing papers by Gordon Wishart

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gordon Wishart

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

All Works

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20 of 20 papers shown

Wishart, Gordon, et al.. (2024). An updated PREDICT breast cancer prognostic model including the benefits and harms of radiotherapy. npj Breast Cancer. 10(1). 6–6. 6 indexed citations

Wishart, Gordon, et al.. (2024). Leveraging AI and patient metadata to develop a novel risk score for skin cancer detection. Scientific Reports. 14(1). 20842–20842. 2 indexed citations

Wishart, Gordon, et al.. (2024). Unlocking the Potential of Patient Metadata for Skin Cancer Detection: An AI Framework. 95–103.

Mukesh, Mukesh B., Wendi Qian, Jennifer Wilkinson, et al.. (2014). Patient reported outcome measures (PROMs) following forward planned field-in field IMRT: Results from the Cambridge Breast IMRT trial. Radiotherapy and Oncology. 111(2). 270–275. 30 indexed citations

Klevesath, Manfred, Klaus Pantel, Andrew O. Agbaje, et al.. (2013). Patterns of metastatic spread in early breast cancer. The Breast. 22(4). 449–454. 27 indexed citations

Kirwan, Cliona, Wail Al Sarakbi, J. Loncaster, et al.. (2013). Tumour bed clip localisation for targeted breast radiotherapy: Compliance is proportional to trial-related research activity. European Journal of Surgical Oncology. 40(2). 158–162. 9 indexed citations

Warwick, Jane, M Wallis, Sylvia O’Keeffe, et al.. (2012). Measuring the accuracy of diagnostic imaging in symptomatic breast patients: team and individual performance. British Journal of Radiology. 85(1012). 415–422. 24 indexed citations

Coles, Charlotte E., Emma Harris, Ellen M. Donovan, et al.. (2011). Evaluation of implanted gold seeds for breast radiotherapy planning and on treatment verification: A feasibility study on behalf of the IMPORT trialists. Radiotherapy and Oncology. 100(2). 276–281. 24 indexed citations

Barnett, Gillian C., Jennifer Wilkinson, A.M. Moody, et al.. (2011). The Cambridge Breast Intensity-modulated Radiotherapy Trial: Patient- and Treatment-related Factors that Influence Late Toxicity. Clinical Oncology. 23(10). 662–673. 63 indexed citations

10.

Wishart, Gordon, Chris Bajdik, Elizabeth M. Azzato, et al.. (2011). A population-based validation of the prognostic model PREDICT for early breast cancer. European Journal of Surgical Oncology. 37(5). 411–417. 88 indexed citations

11.

Wishart, Gordon, Elizabeth M. Azzato, David Greenberg, et al.. (2010). PREDICT: a new UK prognostic model that predicts survival following surgery for invasive breast cancer. Breast Cancer Research. 12(1). R1–R1. 283 indexed citations

12.

Wishart, Gordon, et al.. (2009). Treatment and survival in breast cancer in the Eastern Region of England. Annals of Oncology. 21(2). 291–296. 26 indexed citations

13.

Cox, Eric, et al.. (2009). Patient-led breast cancer follow up. The Breast. 18(2). 100–102. 14 indexed citations

14.

Whitfield, Gillian, Gail Horan, Michael S. Irwin, et al.. (2009). Incidence of severe capsular contracture following implant-based immediate breast reconstruction with or without postoperative chest wall radiotherapy using 40 Gray in 15 fractions. Radiotherapy and Oncology. 90(1). 141–147. 112 indexed citations

15.

Britton, P.D., Sara Godward, S. Barter, et al.. (2008). Use of ultrasound-guided axillary node core biopsy in staging of early breast cancer. European Radiology. 19(3). 561–569. 78 indexed citations

16.

Balan, Kottekkattu, et al.. (2007). A Large Intrathyroidal Parathyroid Adenoma Presenting as a Cold Lesion on Thyroid Scintigraphy. Clinical Nuclear Medicine. 32(3). 237–238. 1 indexed citations

17.

Upponi, Sara, et al.. (2000). Junior doctor training in breast and axillary examination: a comparative study. The Breast. 9(6). 312–314. 4 indexed citations

18.

Bissett, D., James Paul, Gordon Wishart, et al.. (1995). Epirubicin chemotherapy and advanced breast cancer after adjuvant CMF chemotherapy. Clinical Oncology. 7(1). 12–15. 3 indexed citations

19.

Plumb, Jane A., Gordon Wishart, A Setanoians, et al.. (1994). Identification of a multidrug resistance modulator with clinical potential by analysis of synergistic activity in vitro, toxicity in vivo and growth delay in a solid human tumour xenograft. Biochemical Pharmacology. 47(2). 257–266. 16 indexed citations

20.

Wishart, Gordon, D. Bissett, James Paul, et al.. (1994). Quinidine as a resistance modulator of epirubicin in advanced breast cancer: mature results of a placebo-controlled randomized trial.. Journal of Clinical Oncology. 12(9). 1771–1777. 88 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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