Ramya Bhatia

1.5k total citations · 1 hit paper
37 papers, 970 citations indexed

About

Ramya Bhatia is a scholar working on Epidemiology, Molecular Biology and Surgery. According to data from OpenAlex, Ramya Bhatia has authored 37 papers receiving a total of 970 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Epidemiology, 16 papers in Molecular Biology and 10 papers in Surgery. Recurrent topics in Ramya Bhatia's work include Cervical Cancer and HPV Research (32 papers), Molecular Biology Techniques and Applications (14 papers) and Genital Health and Disease (8 papers). Ramya Bhatia is often cited by papers focused on Cervical Cancer and HPV Research (32 papers), Molecular Biology Techniques and Applications (14 papers) and Genital Health and Disease (8 papers). Ramya Bhatia collaborates with scholars based in United Kingdom, Belgium and Denmark. Ramya Bhatia's co-authors include Kate Cuschieri, Kimberley Kavanagh, Kevin G. Pollock, Margaret Cruickshank, Jeremy K. Nicholson, Anita Mitra, Julian R. Marchesi, Evangelos Paraskevaidis, Elaine Holmes and Phillip R. Bennett and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ramya Bhatia

35 papers receiving 954 citations

Hit Papers

Cervical intraepithelial neoplasia disease progression is... 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ramya Bhatia United Kingdom 13 753 327 310 275 94 37 970
D. Lyons United Kingdom 10 574 0.8× 265 0.8× 316 1.0× 164 0.6× 132 1.4× 13 804
Kirvis Torres-Poveda Mexico 15 521 0.7× 374 1.1× 231 0.7× 111 0.4× 141 1.5× 42 941
Sílvio Tatti Argentina 16 914 1.2× 78 0.2× 131 0.4× 392 1.4× 268 2.9× 46 1.1k
M Alfaro United States 9 907 1.2× 123 0.4× 188 0.6× 424 1.5× 204 2.2× 14 1.0k
Ana Gradíssimo United States 11 399 0.5× 227 0.7× 198 0.6× 104 0.4× 43 0.5× 17 519
Jiayao Lei Sweden 11 919 1.2× 173 0.5× 99 0.3× 278 1.0× 303 3.2× 17 1.2k
Attila T. Lörincz United States 20 1.5k 2.0× 315 1.0× 210 0.7× 517 1.9× 407 4.3× 35 1.6k
Inger Gustavsson Sweden 19 888 1.2× 360 1.1× 225 0.7× 341 1.2× 238 2.5× 44 1.3k
Camilla Lagheden Sweden 18 649 0.9× 230 0.7× 102 0.3× 211 0.8× 131 1.4× 40 785
Arne Wikström Sweden 15 544 0.7× 134 0.4× 219 0.7× 411 1.5× 53 0.6× 31 926

Countries citing papers authored by Ramya Bhatia

Since Specialization
Citations

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

Fields of papers citing papers by Ramya Bhatia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramya Bhatia

This figure shows the co-authorship network connecting the top 25 collaborators of Ramya Bhatia. A scholar is included among the top collaborators of Ramya Bhatia 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 Ramya Bhatia. Ramya Bhatia 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.
Faktor, Jakub, Lenka Hernychová, A. Jonathan Singh, et al.. (2024). Metaproteomic analysis from cervical biopsies and cytologies identifies proteinaceous biomarkers representing both human and microbial species. Talanta. 278. 126460–126460. 1 indexed citations
3.
Cocuzza, Clementina, et al.. (2023). Clinical performance of the novel full‐genotyping OncoPredict HPV Quantitative Typing assay using the VALGENT framework. International Journal of Cancer. 154(3). 538–547. 4 indexed citations
4.
5.
Bhatia, Ramya, et al.. (2023). The role of circulating viral and tumour DNA in the diagnosis and management of HPV associated anogenital cancers, a systematic review and meta-analysis. Journal of Clinical Virology. 164. 105469–105469. 11 indexed citations
6.
Sakyi, Samuel Asamoah, Thomas O. Konney, Ramya Bhatia, et al.. (2023). Diversity of cervicovaginal human papillomavirus (HPV) genotypes and naturally occurring E6/E7 DNA polymorphisms of HPV-16 in Ghana. SHILAP Revista de lepidopterología. 15. 200261–200261.
7.
Cuschieri, Kate, et al.. (2022). Agreement between L1 and E6/E7-based assays for detection of high-risk HPV in cervical, oropharyngeal and penile cancers. Journal of Clinical Pathology. 76(7). 467–473. 7 indexed citations
8.
Traynor, Damien, Shiyamala Duraipandian, Ramya Bhatia, et al.. (2022). Development and Validation of a Raman Spectroscopic Classification Model for Cervical Intraepithelial Neoplasia (CIN). Cancers. 14(7). 1836–1836. 9 indexed citations
9.
Cocuzza, Clementina, Pui Yan Jenny Chung, Marianna Martinelli, et al.. (2022). Evaluation of the clinical performance of OncoPredict HPV® SCR assay within the VALGENT‐2 framework. Journal of Medical Virology. 95(1). e28417–e28417. 4 indexed citations
10.
Bhatia, Ramya, et al.. (2022). Clinical performance of DNA and RNA based HPV tests for test of cure (TOC) post treatment for cervical intraepithelial neoplasia (CIN) - a retrospective study.. Journal of Clinical Virology. 150-151. 105165–105165. 2 indexed citations
11.
Bhatia, Ramya, Jesper Bonde, Wim Quint, et al.. (2021). Papilloplex HR-HPV test has non-inferior clinical performance for detection of human papillomavirus infection: assessment using the VALGENT framework. Journal of Clinical Pathology. 76(3). 172–176.
12.
Cuschieri, Kate, Timothy Palmer, Grazyna Stanczuk, et al.. (2021). The challenges of defining sample adequacy in an era of HPV based cervical screening. Journal of Clinical Virology. 137. 104756–104756. 15 indexed citations
13.
Cuschieri, Kate, Jiafeng Pan, Kimberley Kavanagh, et al.. (2020). Penile cancer and the HPV attributable fraction in Scotland; A retrospective cohort study. Journal of Clinical Virology. 134. 104717–104717. 4 indexed citations
15.
Bhatia, Ramya, Heather Cubie, Kimberley Kavanagh, et al.. (2018). Development of an in-house ELISA to detect anti-HPV16-L1 antibodies in serum and dried blood spots. Journal of Virological Methods. 264. 55–60. 5 indexed citations
16.
Bhatia, Ramya, Paula Bradley, Andrew Robson, et al.. (2018). Concurrent HPV-related oropharyngeal carcinoma in four couples. Oral Oncology. 86. 33–37. 4 indexed citations
17.
Conway, David I., Chris Robertson, Heather Gray, et al.. (2016). Human Papilloma Virus (HPV) Oral Prevalence in Scotland (HOPSCOTCH): A Feasibility Study in Dental Settings. PLoS ONE. 11(11). e0165847–e0165847. 42 indexed citations
18.
Müller, Marietta, Christopher W. Wasson, Ramya Bhatia, et al.. (2015). YIP1 family member 4 (YIPF4) is a novel cellular binding partner of the papillomavirus E5 proteins. Scientific Reports. 5(1). 12523–12523. 15 indexed citations
19.
Mitra, Anita, David A. MacIntyre, Ann Smith, et al.. (2015). Cervical intraepithelial neoplasia disease progression is associated with increased vaginal microbiome diversity. Scientific Reports. 5(1). 16865–16865. 340 indexed citations breakdown →
20.
Cuschieri, Kate, Ramya Bhatia, Margaret Cruickshank, Peter Hillemanns, & Marc Arbyn. (2015). HPV testing in the context of post-treatment follow up (test of cure). Journal of Clinical Virology. 76. S56–S61. 45 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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