Alison Lannigan

566 total citations
21 papers, 325 citations indexed

About

Alison Lannigan is a scholar working on Oncology, Cancer Research and Surgery. According to data from OpenAlex, Alison Lannigan has authored 21 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 7 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Alison Lannigan's work include Global Cancer Incidence and Screening (5 papers), Breast Cancer Treatment Studies (5 papers) and Inflammatory Biomarkers in Disease Prognosis (5 papers). Alison Lannigan is often cited by papers focused on Global Cancer Incidence and Screening (5 papers), Breast Cancer Treatment Studies (5 papers) and Inflammatory Biomarkers in Disease Prognosis (5 papers). Alison Lannigan collaborates with scholars based in United Kingdom, United States and Ireland. Alison Lannigan's co-authors include Donald C. McMillan, Julie Doughty, Chris Wilson, T Cooke, Peter Stanton, J. Reeves, László Romics, C S McArdle, Wilson J. Angerson and Joshua A. Bell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and British Journal of Cancer.

In The Last Decade

Alison Lannigan

20 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alison Lannigan United Kingdom 8 234 106 61 53 48 21 325
Seyran Yiğit Türkiye 14 181 0.8× 93 0.9× 84 1.4× 76 1.4× 62 1.3× 43 433
Michèle Orain Canada 12 245 1.0× 94 0.9× 139 2.3× 55 1.0× 67 1.4× 38 394
Gennaro Palmiotti Italy 9 163 0.7× 61 0.6× 105 1.7× 74 1.4× 55 1.1× 22 332
David Hsiehchen United States 11 210 0.9× 84 0.8× 85 1.4× 57 1.1× 20 0.4× 37 354
Pierre Squifflet Belgium 12 214 0.9× 95 0.9× 86 1.4× 71 1.3× 24 0.5× 20 406
Fredrika Killander Sweden 12 199 0.9× 240 2.3× 73 1.2× 54 1.0× 63 1.3× 25 411
Laura Iezzi Italy 11 308 1.3× 102 1.0× 79 1.3× 76 1.4× 15 0.3× 21 411
Chang Hun Lee South Korea 11 172 0.7× 74 0.7× 86 1.4× 92 1.7× 31 0.6× 29 341
Elisabetta Fenocchio Italy 12 242 1.0× 99 0.9× 87 1.4× 53 1.0× 36 0.8× 29 337
Wang‐Zhong Li China 13 275 1.2× 71 0.7× 116 1.9× 61 1.2× 81 1.7× 41 523

Countries citing papers authored by Alison Lannigan

Since Specialization
Citations

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

Fields of papers citing papers by Alison Lannigan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alison Lannigan

This figure shows the co-authorship network connecting the top 25 collaborators of Alison Lannigan. A scholar is included among the top collaborators of Alison Lannigan 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 Alison Lannigan. Alison Lannigan 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.
Marshall, Alan G., Caroline H. Johnson, Jessica Lasky‐Su, et al.. (2024). A gap analysis of UK biobank publications reveals SNPs associated with intrinsic subtypes of breast cancer. Computational and Structural Biotechnology Journal. 23. 2200–2210. 1 indexed citations
2.
Lannigan, Alison, et al.. (2022). Evaluation of the role of KPNA2 mutations in breast cancer prognosis using bioinformatics datasets. BMC Cancer. 22(1). 874–874. 6 indexed citations
3.
Lannigan, Alison, et al.. (2022). A systematic literature review of the management, oncological outcomes and psychosocial implications of male breast cancer. European Journal of Surgical Oncology. 48(10). 2104–2111. 6 indexed citations
4.
Dolan, Ross D., et al.. (2022). Prognostic role of preoperative circulating systemic inflammatory response markers in primary breast cancer: meta-analysis. British journal of surgery. 109(12). 1206–1215. 41 indexed citations
5.
6.
Romics, László, Julie Doughty, Sheila Stallard, et al.. (2020). A prospective cohort study of the safety of breast cancer surgery during COVID-19 pandemic in the West of Scotland. The Breast. 55. 1–6. 16 indexed citations
7.
Dolan, Ross D., et al.. (2019). <p>Variation in the management of elderly patients in two neighboring breast units is due to preferences and attitudes of health professionals</p>. Breast Cancer Targets and Therapy. Volume 11. 179–188. 3 indexed citations
8.
Doughty, Julie, et al.. (2019). Variation in the management of elderly patients in two neighboring breast units is due to preferences and attitudes of health professionals. SHILAP Revista de lepidopterología. 2 indexed citations
9.
Lannigan, Alison, Julie Doughty, Janet Litherland, et al.. (2018). Population-based study of the sensitivity of axillary ultrasound imaging in the preoperative staging of node-positive invasive lobular carcinoma of the breast. British journal of surgery. 105(8). 987–995. 22 indexed citations
10.
Smith, Laura, Sanjeev Dayal, Juliette Murray, & Alison Lannigan. (2016). Attitudes towards breast conservation in patients aged over 70 with breast cancer. SpringerPlus. 5(1). 478–478. 6 indexed citations
11.
McKinley, A., et al.. (2015). An audit of re-excision for close or involved margins following breast surgery. International Journal of Surgery. 23. S32–S32. 1 indexed citations
12.
Dayal, Sanjeev, Juliette Murray, Kate Wilson, & Alison Lannigan. (2011). Vastagtű-biopsziás hengerből készített imprint citológia növeli a vékonytű-aspirációs citológia szenzitivitását emlőrákos betegekben. Magyar Sebészet (Hungarian Journal of Surgery). 64(2). 59–62. 5 indexed citations
13.
Mansell, James, et al.. (2011). P2-12-30: Pre-Operative Haematological Markers and Prognosis in Early Breast Cancer.. Cancer Research. 71(24_Supplement). P2–12. 3 indexed citations
14.
Obondo, Christine, et al.. (2009). The relationship between tumour NF-kB expression, hormone status, and clinicopathological factors in primary invasive breast cancer.. Cancer Research. 69(2_Supplement). 4038–4038. 1 indexed citations
15.
16.
Wilson, Chris, Alison Lannigan, Julie Doughty, et al.. (2007). Evaluation of the relationship between the systemic inflammatory response and cancer-specific survival in patients with primary operable breast cancer. British Journal of Cancer. 96(6). 891–895. 66 indexed citations
17.
Doughty, Julie, et al.. (2004). The relationship between deprivation, tumour stage and the systemic inflammatory response in patients with primary operable breast cancer. British Journal of Cancer. 91(6). 1063–1065. 4 indexed citations
18.
Robertson, Kevin, et al.. (2002). Radioimmunohistochemistry of Epidermal Growth Factor Receptor in Breast Cancer. Archives of Pathology & Laboratory Medicine. 126(2). 177–181. 9 indexed citations
19.
Lannigan, Alison, James J. Going, Eva Weiler-Mithoff, & T Cooke. (2002). Mucinous breast carcinoma. The Breast. 11(4). 359–361. 9 indexed citations
20.
Cooke, T, J. Reeves, Alison Lannigan, & Peter Stanton. (2001). The value of the human epidermal growth factor receptor-2 (HER2) as a prognostic marker. European Journal of Cancer. 37. 3–10. 54 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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