Mark Sibbering

2.7k total citations · 1 hit paper
19 papers, 1.8k citations indexed

About

Mark Sibbering is a scholar working on Cancer Research, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Mark Sibbering has authored 19 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cancer Research, 10 papers in Pathology and Forensic Medicine and 9 papers in Oncology. Recurrent topics in Mark Sibbering's work include Breast Cancer Treatment Studies (12 papers), Breast Lesions and Carcinomas (10 papers) and Global Cancer Incidence and Screening (8 papers). Mark Sibbering is often cited by papers focused on Breast Cancer Treatment Studies (12 papers), Breast Lesions and Carcinomas (10 papers) and Global Cancer Incidence and Screening (8 papers). Mark Sibbering collaborates with scholars based in United Kingdom, United States and Ireland. Mark Sibbering's co-authors include Kieran Horgan, Robert E. Mansel, Amit Goyal, Robert G. Newcombe, Ian Monypenny, Nigel Bundred, Lester Barr, Anne Fleissig, Dayalan Clarke and J. Michael Dixon and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Cancer Research and Annals of Surgery.

In The Last Decade

Mark Sibbering

17 papers receiving 1.7k citations

Hit Papers

Randomized Multicenter Trial of Sentinel Node Biopsy Vers... 2006 2026 2012 2019 2006 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Sibbering United Kingdom 11 1.4k 1.0k 758 713 147 19 1.8k
Ian Monypenny United Kingdom 7 1.3k 0.9× 1.0k 1.0× 836 1.1× 549 0.8× 101 0.7× 8 1.7k
Giuseppe Canavese Italy 26 1.0k 0.7× 787 0.8× 612 0.8× 650 0.9× 212 1.4× 76 1.8k
Sharon Galper United States 8 1.4k 1.0× 1.1k 1.1× 729 1.0× 562 0.8× 114 0.8× 8 1.7k
Pond R. Kelemen United States 15 1.2k 0.9× 844 0.8× 843 1.1× 819 1.1× 198 1.3× 23 2.0k
Lisa M. Sclafani United States 18 1.2k 0.8× 808 0.8× 982 1.3× 585 0.8× 150 1.0× 38 1.8k
Mark Kissin United Kingdom 6 1.4k 1.0× 1.0k 1.0× 956 1.3× 776 1.1× 140 1.0× 12 1.8k
Zoltán Sulyok Hungary 16 1.4k 1.0× 753 0.7× 505 0.7× 436 0.6× 147 1.0× 38 1.6k
Nhu Le Canada 4 1.7k 1.2× 882 0.9× 867 1.1× 669 0.9× 269 1.8× 6 2.0k
François Campana France 29 1.8k 1.3× 1.0k 1.0× 488 0.6× 917 1.3× 398 2.7× 58 2.4k
J.C. Durand France 18 1.5k 1.1× 1.1k 1.0× 548 0.7× 972 1.4× 225 1.5× 30 2.2k

Countries citing papers authored by Mark Sibbering

Since Specialization
Citations

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

Fields of papers citing papers by Mark Sibbering

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Sibbering

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

All Works

19 of 19 papers shown
1.
Sibbering, Mark, et al.. (2024). Community breast pain clinics can provide safe, quality care for women presenting with breast pain. BMJ Open Quality. 13(4). e002882–e002882.
2.
Clements, Karen, David Dodwell, Bridget Hilton, et al.. (2022). Cohort profile of the Sloane Project: methodology for a prospective UK cohort study of >15 000 women with screen-detected non-invasive breast neoplasia. BMJ Open. 12(12). e061585–e061585. 3 indexed citations
3.
Sibbering, Mark, et al.. (2022). Transforming the 2-week wait (2WW) pathway: management of breast pain in primary care. BMJ Open Quality. 11(1). e001634–e001634. 5 indexed citations
6.
James, Ted A., Monica G. Valero, Henry M. Kuerer, et al.. (2020). P067: Assessment of burnout among breast surgeons in the United Kingdom. European Journal of Surgical Oncology. 46(6). e28–e29. 1 indexed citations
7.
Sibbering, Mark & Carol-Ann Courtney. (2019). Management of breast cancer: basic principles. Surgery (Oxford). 37(3). 157–163. 3 indexed citations
8.
Maxwell, Anthony, Karen Clements, Bridget Hilton, et al.. (2018). Risk factors for the development of invasive cancer in unresected ductal carcinoma in situ. European Journal of Surgical Oncology. 44(4). 429–435. 66 indexed citations
9.
Dowsett, Mitch, Judith M. Bliss, James P. Morden, et al.. (2018). Abstract GS1-03: Peri-operative aromatase inhibitor treatment in determining or predicting longterm outcome in early breast cancer – The POETIC* Trial (CRUK/07/015). Cancer Research. 78(4_Supplement). GS1–3. 15 indexed citations
10.
Sibbering, Mark & Carol-Ann Courtney. (2016). Management of breast cancer: basic principles. Surgery (Oxford). 34(1). 25–31. 12 indexed citations
11.
Duffy, SW, James Mackay, Susan N. Thomas, et al.. (2013). Evaluation of mammographic surveillance services in women aged 40–49 years with a moderate family history of breast cancer: a single-arm cohort study. Health Technology Assessment. 17(11). vii–xiv, 1. 12 indexed citations
12.
McDermott, Ailbhe M., Deirdre Wall, Peadar S. Waters, et al.. (2013). Surgeon and Breast Unit Volume-Outcome Relationships in Breast Cancer Surgery and Treatment. Annals of Surgery. 258(5). 808–814. 39 indexed citations
13.
Mansel, Robert E., Lesley Fallowfield, Mark Kissin, et al.. (2006). Randomized Multicenter Trial of Sentinel Node Biopsy Versus Standard Axillary Treatment in Operable Breast Cancer: The ALMANAC Trial. JNCI Journal of the National Cancer Institute. 98(9). 599–609. 1225 indexed citations breakdown →
14.
Goyal, Amit, Kieran Horgan, M.W. Kissin, et al.. (2004). Sentinel lymph node biopsy in male breast cancer patients. European Journal of Surgical Oncology. 30(5). 480–483. 51 indexed citations
15.
Man, Stephen, et al.. (1996). High levels of allele loss at the FHIT and ATM genes in non-comedo ductal carcinoma in situ and grade I tubular invasive breast cancers.. PubMed. 56(23). 5484–9. 63 indexed citations
16.
Sibbering, Mark, et al.. (1996). DNA fingerprinting of benign and malignant breast lesions. European Journal of Surgical Oncology. 22(6). 574–577. 1 indexed citations
17.
Evans, Andrew, S Pinder, Ian O. Ellis, et al.. (1994). Screening-detected and symptomatic ductal carcinoma in situ: mammographic features with pathologic correlation.. Radiology. 191(1). 237–240. 42 indexed citations
18.
Evans, Andy, Sarah E. Pinder, R. Wilson, et al.. (1994). Ductal carcinoma in situ of the breast: correlation between mammographic and pathologic findings.. American Journal of Roentgenology. 162(6). 1307–1311. 103 indexed citations
19.
Evans, Andy, Ian O. Ellis, A.R.M. Wilson, et al.. (1993). A comparison of the mammographic features of screening detected and symptomatic ductal carcinoma in situ (DCIS). Clinical Radiology. 48(5). 351–351. 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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