Nisha Sharma

3.1k total citations · 1 hit paper
134 papers, 1.4k citations indexed

About

Nisha Sharma is a scholar working on Pathology and Forensic Medicine, Cancer Research and Oncology. According to data from OpenAlex, Nisha Sharma has authored 134 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Pathology and Forensic Medicine, 52 papers in Cancer Research and 39 papers in Oncology. Recurrent topics in Nisha Sharma's work include Breast Lesions and Carcinomas (52 papers), Breast Cancer Treatment Studies (51 papers) and Global Cancer Incidence and Screening (24 papers). Nisha Sharma is often cited by papers focused on Breast Lesions and Carcinomas (52 papers), Breast Cancer Treatment Studies (51 papers) and Global Cancer Incidence and Screening (24 papers). Nisha Sharma collaborates with scholars based in United Kingdom, India and United States. Nisha Sharma's co-authors include Abeer M. Shaaban, Louise Wilkinson, Val Thomas, B. Dall, David Dodwell, Sarah E. Pinder, Rebecca Millican‐Slater, Kieran Horgan, Timothy Perren and Ashu Gandhi and has published in prestigious journals such as The Lancet, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Nisha Sharma

121 papers receiving 1.4k citations

Hit Papers

Standalone AI for Breast Cancer Detection at Screening Di... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nisha Sharma United Kingdom 21 600 565 475 394 339 134 1.4k
Jonathan J. James United Kingdom 23 532 0.9× 432 0.8× 613 1.3× 700 1.8× 522 1.5× 67 1.8k
Alana A. Lewin United States 20 337 0.6× 282 0.5× 488 1.0× 254 0.6× 233 0.7× 58 1.2k
Christopher Comstock United States 17 362 0.6× 455 0.8× 1.1k 2.2× 305 0.8× 652 1.9× 60 1.7k
Ralph Wynn United States 16 404 0.7× 484 0.9× 517 1.1× 199 0.5× 394 1.2× 28 1.1k
Carla Wauters Netherlands 17 323 0.5× 307 0.5× 204 0.4× 388 1.0× 245 0.7× 41 1.0k
Lumarie Santiago United States 16 854 1.4× 702 1.2× 436 0.9× 410 1.0× 205 0.6× 58 1.6k
William R. Poller United States 14 1.2k 2.0× 910 1.6× 419 0.9× 801 2.0× 472 1.4× 22 2.0k
Woo Jung Choi South Korea 22 423 0.7× 359 0.6× 802 1.7× 212 0.5× 236 0.7× 106 1.3k
Suzanne B. Coopey United States 24 925 1.5× 535 0.9× 200 0.4× 397 1.0× 211 0.6× 65 1.7k
Bhavika Patel United States 21 534 0.9× 311 0.6× 945 2.0× 377 1.0× 561 1.7× 93 1.8k

Countries citing papers authored by Nisha Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Nisha Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nisha Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Nisha Sharma. A scholar is included among the top collaborators of Nisha Sharma 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 Nisha Sharma. Nisha Sharma 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.
Sharma, Nisha & Mala Dutta. (2024). Designing a Dynamic Weighted Stacking Recommendation System. International Research Journal of Multidisciplinary Scope. 5(4). 755–767. 1 indexed citations
2.
Sharma, Amit Kumar, et al.. (2024). Enhancing osseointegration in dental implants with topical platelet - rich fibrin. Bioinformation. 20(11). 1560–1563.
3.
McIntosh, Stuart, et al.. (2024). Minimally invasive treatment of early, good prognosis breast cancer—is this feasible?. British Journal of Radiology. 97(1157). 886–893. 2 indexed citations
4.
Chang, Patrick, Sarah Wang, Nisha Sharma, et al.. (2024). AI-assisted colonoscopy in gastroenterology fellowship training: An interim analysis of a randomized controlled trial.. Journal of Clinical Oncology. 42(16_suppl). e15642–e15642.
6.
Kaur, Samanpreet, et al.. (2024). Estimating Crop Evapotranspiration in Data-Scare Regions: A Comparative Analysis of Eddy Covariance, Empirical and Remote-Sensing Approaches. Water Conservation Science and Engineering. 9(2). 3 indexed citations
7.
Sharma, Nisha, Rebecca Millican‐Slater, Raj Achuthan, et al.. (2023). Symposium Mammographicum 2023. Breast Cancer Research. 25(S2). 122–122.
8.
Rubio, Isabel T., Lynda Wyld, Lorenza Marotti, et al.. (2023). European guidelines for the diagnosis, treatment and follow-up of breast lesions with uncertain malignant potential (B3 lesions) developed jointly by EUSOMA, EUSOBI, ESP (BWG) and ESSO. European Journal of Surgical Oncology. 50(1). 107292–107292. 22 indexed citations
9.
Yoon, Jung Hyun, Fredrik Strand, Pascal Baltzer, et al.. (2023). Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis. Radiology. 307(5). e222639–e222639. 85 indexed citations breakdown →
10.
12.
Ng, Annie, Ben Glocker, Cary Oberije, et al.. (2023). Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce Workload. Journal of Breast Imaging. 5(3). 267–276. 17 indexed citations
13.
14.
Maxwell, Anthony, Bridget Hilton, Karen Clements, et al.. (2022). Unresected screen-detected ductal carcinoma in situ: Outcomes of 311 women in the Forget-Me-Not 2 study. The Breast. 61. 145–155. 21 indexed citations
15.
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
16.
Freeman, Karoline, Karen Clements, Bridget Hilton, et al.. (2021). Breast screening atypia and subsequent development of cancer: protocol for an observational analysis of the Sloane database in England (Sloane atypia cohort study).. Apollo (University of Cambridge). 4 indexed citations
17.
Goyal, Amit, Andrea Marshall, Kalliope Valassiadou, et al.. (2020). A multicentre prospective feasibility study of carbon dye tattooing of biopsied axillary node and surgical localisation in breast cancer patients. Breast Cancer Research and Treatment. 185(2). 433–440. 13 indexed citations
18.
Rakha, Emad A., Francisco Beça, Abeer M. Shaaban, et al.. (2019). Outcome of radial scar/complex sclerosing lesion associated with epithelial proliferations with atypia diagnosed on breast core biopsy: results from a multicentric UK-based study. Journal of Clinical Pathology. 72(12). 800–804. 15 indexed citations
19.
Sharma, Nisha, R. G. Newcombe, Monika Kaushik, et al.. (2018). Axillary tumour burden in women with one abnormal node on ultrasound compared to women with multiple abnormal nodes. Clinical Radiology. 73(4). 391–395. 8 indexed citations
20.
Sharma, Nisha, et al.. (1989). Health educators in India--a profile.. PubMed. 8(3). 34–7. 3 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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