Andrew Hanby

812 total citations
9 papers, 524 citations indexed

About

Andrew Hanby is a scholar working on Cancer Research, Pathology and Forensic Medicine and Dermatology. According to data from OpenAlex, Andrew Hanby has authored 9 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 6 papers in Pathology and Forensic Medicine and 2 papers in Dermatology. Recurrent topics in Andrew Hanby's work include Breast Cancer Treatment Studies (6 papers), Breast Lesions and Carcinomas (6 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Andrew Hanby is often cited by papers focused on Breast Cancer Treatment Studies (6 papers), Breast Lesions and Carcinomas (6 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Andrew Hanby collaborates with scholars based in United Kingdom, Australia and United States. Andrew Hanby's co-authors include Sunil R. Lakhani, Douglas F. Easton, Laura Fulford, Cheryl Gillett, Chris Jones, Ken Ryder, Jorge S. Reis‐Filho, Rebecca Millican‐Slater, Bethany Williams and Puay Hoon Tan and has published in prestigious journals such as Cancer Research, The Lancet Oncology and Journal of Clinical Pathology.

In The Last Decade

Andrew Hanby

9 papers receiving 512 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Hanby United Kingdom	9	310	278	188	99	82	9	524
Ana Richelia Jara‐Lazaro Singapore	10	229 0.7×	208 0.7×	219 1.2×	91 0.9×	54 0.7×	16	536
Ruohong Shui China	13	225 0.7×	158 0.6×	187 1.0×	63 0.6×	70 0.9×	32	432
Maj‐Lis Møller Talman Denmark	9	224 0.7×	140 0.5×	109 0.6×	106 1.1×	69 0.8×	13	378
M. Rudas Austria	9	177 0.6×	156 0.6×	169 0.9×	88 0.9×	90 1.1×	24	412
V. Maisongrosse France	11	166 0.5×	191 0.7×	107 0.6×	98 1.0×	41 0.5×	16	435
Marion E. Scoggins United States	14	317 1.0×	277 1.0×	229 1.2×	118 1.2×	175 2.1×	36	653
Helen Trihia Greece	10	262 0.8×	273 1.0×	149 0.8×	113 1.1×	31 0.4×	24	465
S Badve United States	7	348 1.1×	338 1.2×	176 0.9×	185 1.9×	50 0.6×	21	620
Christiane Rakozy United States	7	181 0.6×	158 0.6×	106 0.6×	159 1.6×	28 0.3×	9	444
Masakazu Amari Japan	12	322 1.0×	230 0.8×	187 1.0×	101 1.0×	144 1.8×	25	531

Countries citing papers authored by Andrew Hanby

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Hanby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Hanby

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

All Works

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9 of 9 papers shown

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

Coleman, Robert E., Andrew Hall, Joan Albanell, et al.. (2017). Effect of MAF amplification on treatment outcomes with adjuvant zoledronic acid in early breast cancer: a secondary analysis of the international, open-label, randomised, controlled, phase 3 AZURE (BIG 01/04) trial. The Lancet Oncology. 18(11). 1543–1552. 38 indexed citations

Williams, Bethany, et al.. (2017). Digital pathology for the primary diagnosis of breast histopathological specimens: an innovative validation and concordance study on digital pathology validation and training. Histopathology. 72(4). 662–671. 54 indexed citations

Evans, Andy, Karen Clements, Anthony Maxwell, et al.. (2010). Lesion size is a major determinant of the mammographic features of ductal carcinoma in situ: findings from the Sloane project. Clinical Radiology. 65(3). 181–184. 20 indexed citations

Drew, PJ, I. Harvey, Andrew Hanby, et al.. (2009). The UK NIHR multicentre randomised COMICE trial of MRI planning for breast conserving treatment for breast cancer.. Cancer Research. 69(2_Supplement). 51–51. 12 indexed citations

Fulford, Laura, Jorge S. Reis‐Filho, Ken Ryder, et al.. (2007). Basal-like grade III invasive ductal carcinoma of the breast: patterns of metastasis and long-term survival. Breast Cancer Research. 9(1). R4–R4. 252 indexed citations

Tan, Puay Hoon, et al.. (2005). Pathological diagnosis of columnar cell lesions of the breast: are there issues of reproducibility?. Journal of Clinical Pathology. 58(7). 705–709. 45 indexed citations

Hamed, H., et al.. (1991). Automatic needle biopsy in the diagnosis of early breast cancer.. PubMed. 17(3). 237–9. 15 indexed citations

Hanby, Andrew, et al.. (1990). Radiation and other pathological changes in breast tissue after conservation treatment for carcinoma.. Journal of Clinical Pathology. 43(2). 152–156. 22 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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