Ashu Gandhi

2.5k total citations
50 papers, 1.1k citations indexed

About

Ashu Gandhi is a scholar working on Surgery, Cancer Research and Oncology. According to data from OpenAlex, Ashu Gandhi has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Surgery, 24 papers in Cancer Research and 17 papers in Oncology. Recurrent topics in Ashu Gandhi's work include Breast Cancer Treatment Studies (20 papers), Breast Implant and Reconstruction (18 papers) and BRCA gene mutations in cancer (10 papers). Ashu Gandhi is often cited by papers focused on Breast Cancer Treatment Studies (20 papers), Breast Implant and Reconstruction (18 papers) and BRCA gene mutations in cancer (10 papers). Ashu Gandhi collaborates with scholars based in United Kingdom, United States and Switzerland. Ashu Gandhi's co-authors include Petros Perros, David Scott‐Coombes, Anna L. Mitchell, W.F. Knox, Richard K. Johnson, Lester Barr, Kai Chio Chan, Cliona Kirwan, Nisha Sharma and Abeer M. Shaaban and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer and Scientific Reports.

In The Last Decade

Ashu Gandhi

46 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashu Gandhi United Kingdom 19 488 430 360 288 165 50 1.1k
Furio Maggiorotto Italy 20 534 1.1× 342 0.8× 516 1.4× 322 1.1× 146 0.9× 44 1.3k
J.P. Travagli France 15 493 1.0× 325 0.8× 298 0.8× 334 1.2× 341 2.1× 22 961
Stuart McIntosh United Kingdom 20 466 1.0× 480 1.1× 503 1.4× 190 0.7× 80 0.5× 91 1.5k
Jessica N. Everett United States 16 397 0.8× 253 0.6× 312 0.9× 306 1.1× 86 0.5× 30 985
Judy Pang United States 15 163 0.3× 333 0.8× 326 0.9× 97 0.3× 95 0.6× 41 815
Sergio Rodrı́guez-Cuevas Mexico 16 456 0.9× 244 0.6× 238 0.7× 119 0.4× 152 0.9× 55 929
Lisa M. Sclafani United States 18 1.2k 2.4× 982 2.3× 585 1.6× 808 2.8× 107 0.6× 38 1.8k
Florian D. Vogl United States 15 219 0.4× 121 0.3× 406 1.1× 118 0.4× 101 0.6× 52 940
C Vecchio Italy 15 464 1.0× 295 0.7× 332 0.9× 375 1.3× 23 0.1× 28 985
Jee Ye Kim South Korea 20 501 1.0× 478 1.1× 506 1.4× 296 1.0× 15 0.1× 109 1.3k

Countries citing papers authored by Ashu Gandhi

Since Specialization
Citations

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

Fields of papers citing papers by Ashu Gandhi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashu Gandhi

This figure shows the co-authorship network connecting the top 25 collaborators of Ashu Gandhi. A scholar is included among the top collaborators of Ashu Gandhi 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 Ashu Gandhi. Ashu Gandhi 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.
Pritchard, Susan, Elaine F. Harkness, Yit Yoong Lim, et al.. (2024). Long term follow-up of women treated for screen detected atypical ductal hyperplasia or lobular neoplasia in a large UK screening centre. SHILAP Revista de lepidopterología. 2(1). 90–90.
2.
3.
Evans, D. Gareth, George J. Burghel, Hélene Schlecht, et al.. (2023). Detection of pathogenic variants in breast cancer susceptibility genes in bilateral breast cancer. Journal of Medical Genetics. 60(10). 974–979. 4 indexed citations
4.
Evans, D. Gareth, Elke M. van Veen, George J. Burghel, et al.. (2022). Differential involvement of germline pathogenic variants in breast cancer genes between DCIS and low-grade invasive cancers. Journal of Medical Genetics. 60(8). 740–746. 2 indexed citations
5.
Whisker, Lisa, Matthew Barber, Donna Egbeare, et al.. (2021). Biological and synthetic mesh assisted breast reconstruction procedures: Joint guidelines from the Association of Breast Surgery and the British Association of Plastic, Reconstructive and Aesthetic Surgeons. European Journal of Surgical Oncology. 47(11). 2807–2813. 9 indexed citations
6.
Evans, D. Gareth, Ashu Gandhi, Julie Wisely, et al.. (2021). Uptake of bilateral-risk-reducing-mastectomy: Prospective analysis of 7195 women at high-risk of breast cancer. The Breast. 60. 45–52. 20 indexed citations
7.
Hodson, James, Shaunak Chatterjee, Ashu Gandhi, et al.. (2021). The Angelina Jolie effect: Contralateral risk-reducing mastectomy trends in patients at increased risk of breast cancer. Scientific Reports. 11(1). 2847–2847. 23 indexed citations
8.
Dave, Rajiv, Vicky P. Taxiarchi, Elizabeth Camacho, et al.. (2021). No association between breast pain and breast cancer: a prospective cohort study of 10 830 symptomatic women presenting to a breast cancer diagnostic clinic. British Journal of General Practice. 72(717). e234–e243. 7 indexed citations
9.
Murphy, James O. & Ashu Gandhi. (2021). Does Mastectomy Reduce Overall Survival in Early Stage Breast Cancer?. Clinical Oncology. 33(7). 440–447. 6 indexed citations
10.
O’Connell, Rachel, Tim Rattay, Baek Kim, et al.. (2020). The B-MaP-C study: Breast cancer management pathways during the COVID-19 pandemic. Study protocol. PubMed. 24(0). 1–5. 7 indexed citations
11.
Gandhi, Ashu, Ellen Copson, Diana Eccles, et al.. (2019). Predictors of weight gain in a cohort of premenopausal early breast cancer patients receiving chemotherapy. The Breast. 45. 1–6. 19 indexed citations
12.
Subramaniam, Shridevi, et al.. (2016). PO-0881: Patient selection for DIBH technique for left sided breast cancers: Impact of chest wall shape. Radiotherapy and Oncology. 119. S422–S422. 2 indexed citations
13.
14.
Yap, B., Jarrod J. Homer, Sean Loughran, et al.. (2013). Use of Pre-Ablation Radioiodine-131 Scan to Assess the Impact of Surgical Volume and Specialisation following Thyroidectomy for Differentiated Thyroid Carcinoma. European Thyroid Journal. 2(4). 275–281. 10 indexed citations
15.
O’Donoghue, J.M., et al.. (2013). Acellular dermal matrix (ADM) assisted breast reconstruction procedures. European Journal of Surgical Oncology. 39(5). 425–429. 65 indexed citations
16.
Johnson, Richard K., et al.. (2012). Cost minimisation analysis of using acellular dermal matrix (Strattice™) for breast reconstruction compared with standard techniques. European Journal of Surgical Oncology. 39(3). 242–247. 36 indexed citations
17.
John, John P., et al.. (2004). Delusion of Test-Tube Pregnancy in a Sexually Abused Girl. Psychopathology. 37(3). 152–154. 12 indexed citations
18.
Chan, Kai Chio, W.F. Knox, Ashu Gandhi, et al.. (2001). Blockade of growth factor receptors in ductal carcinoma in situ inhibits epithelial proliferation. British journal of surgery. 88(3). 412–418. 50 indexed citations
19.
Gandhi, Ashu, et al.. (1998). The importance of complete excision in the prevention of local recurrence of ductal carcinoma in situ. British Journal of Cancer. 77(1). 110–114. 65 indexed citations
20.
Gandhi, Ashu, et al.. (1998). Evidence of significant apoptosis in poorly differentiated ductal carcinoma in situ of the breast. British Journal of Cancer. 78(6). 788–794. 32 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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