Arpita Ghosh

2.9k total citations
68 papers, 1.4k citations indexed

About

Arpita Ghosh is a scholar working on Epidemiology, Molecular Biology and Economics and Econometrics. According to data from OpenAlex, Arpita Ghosh has authored 68 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 11 papers in Molecular Biology and 10 papers in Economics and Econometrics. Recurrent topics in Arpita Ghosh's work include Cervical Cancer and HPV Research (12 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers) and Healthcare Systems and Reforms (8 papers). Arpita Ghosh is often cited by papers focused on Cervical Cancer and HPV Research (12 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers) and Healthcare Systems and Reforms (8 papers). Arpita Ghosh collaborates with scholars based in India, United Kingdom and United States. Arpita Ghosh's co-authors include Nicolas Wentzensen, Sholom Wacholder, Mark Schiffman, Robert D. Burk, Attila T. Lörincz, Lisa Mirabello, Anthony J Kelly, Rolando Herrero, Allan Hildesheim and Megan A. Clarke and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.

In The Last Decade

Arpita Ghosh

62 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arpita Ghosh India 21 746 326 232 142 110 68 1.4k
Jiangrong Wang China 25 1.3k 1.7× 522 1.6× 399 1.7× 131 0.9× 223 2.0× 121 2.4k
Sadeep Shrestha United States 25 670 0.9× 371 1.1× 305 1.3× 210 1.5× 39 0.4× 126 1.9k
Zhengde Xie China 26 1.2k 1.6× 288 0.9× 174 0.8× 75 0.5× 147 1.3× 134 2.6k
Catherine Cohet Belgium 20 563 0.8× 155 0.5× 238 1.0× 46 0.3× 30 0.3× 45 1.3k
Nina Weis Denmark 29 1.6k 2.2× 307 0.9× 143 0.6× 73 0.5× 45 0.4× 181 3.0k
Brigitte Keller‐Stanislawski Germany 22 372 0.5× 90 0.3× 94 0.4× 79 0.6× 71 0.6× 91 1.6k
Marianne Voldstedlund Denmark 22 565 0.8× 314 1.0× 222 1.0× 62 0.4× 24 0.2× 67 1.6k
David Chadwick United Kingdom 25 567 0.8× 141 0.4× 415 1.8× 103 0.7× 21 0.2× 88 1.6k
Frederick Wittke United States 19 588 0.8× 265 0.8× 77 0.3× 95 0.7× 124 1.1× 32 1.6k

Countries citing papers authored by Arpita Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Arpita Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpita Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Arpita Ghosh. A scholar is included among the top collaborators of Arpita Ghosh 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 Arpita Ghosh. Arpita Ghosh 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.
Puri, Parul, et al.. (2024). Overview of multimorbidity research in India: a scoping review. 9. 302–302. 1 indexed citations
2.
3.
Yadav, Ashok Kumar, Arpita Ghosh, Vivek Kumar, et al.. (2024). Development and Validation of an Accurate Creatinine-Based Equation to Estimate Glomerular Filtration Rate for the Adult Indian Population: Design and Methods. Indian Journal of Nephrology. 35. 652–659.
4.
Hockham, Carinna, Arpita Ghosh, Ankit Agarwal, et al.. (2024). Centre-level variation in the survival of patients receiving haemodialysis in India: findings from a nationwide private haemodialysis network. The Lancet Regional Health - Southeast Asia. 23. 100383–100383. 1 indexed citations
5.
Salam, Abdul, Mahmoud U. Sani, Okechukwu S. Ogah, et al.. (2024). deliVERy of optimal blood pressure coNtrol in afrICA (VERONICA)-Nigeria study: Rationale and design of a randomized clinical trial. American Heart Journal. 277. 66–75. 2 indexed citations
6.
7.
Gummidi, Balaji, et al.. (2023). Patterns of multimorbidity among a community-based cohort in rural India. SHILAP Revista de lepidopterología. 13. 2583116727–2583116727. 11 indexed citations
8.
Biswas, Tuhin, Nick Townsend, Rajat Das Gupta, et al.. (2023). Clustering of metabolic and behavioural risk factors for cardiovascular diseases among the adult population in South and Southeast Asia: findings from WHO STEPS data. SHILAP Revista de lepidopterología. 12. 100164–100164. 10 indexed citations
9.
Ghosh, Arpita, et al.. (2023). Frailty among middle-aged and older women and men in India: findings from wave 1 of the longitudinal Ageing study in India. BMJ Open. 13(7). e071842–e071842. 10 indexed citations
10.
Bhatia, Prateek, Vishal Sharma, Arpita Ghosh, et al.. (2023). A randomized trial of once daily versus twice daily dosing of oral iron in CKD. Scientific Reports. 13(1). 141–141. 2 indexed citations
11.
Prasad, Narayan, Ashok Kumar Yadav, Ajay Jaryal, et al.. (2022). Renin-angiotensin blocker use is associated with improved cardiovascular mortality in Indian patients with mild-moderate chronic kidney disease—findings from the ICKD study. Frontiers in Medicine. 9. 1060148–1060148. 1 indexed citations
12.
Rajapurkar, Mohan, et al.. (2021). Increased serum catalytic iron may mediate tissue injury and death in patients with COVID-19. Scientific Reports. 11(1). 19618–19618. 21 indexed citations
13.
Prasad, Narayan, Ashok Kumar Yadav, Ajay Jaryal, et al.. (2021). Prescription Practices in Patients With Mild to Moderate CKD in India. Kidney International Reports. 6(9). 2455–2462. 7 indexed citations
14.
Pandey, Tripti, Arpita Ghosh, Parismita Kalita, et al.. (2020). Draft Genome of the Liver Fluke Fasciola gigantica. ACS Omega. 5(19). 11084–11091. 23 indexed citations
15.
Chatterjee, Susmita, Arpita Ghosh, Palash Das, Nicolas A. Menzies, & Ramanan Laxminarayan. (2018). Determinants of cost of routine immunization programme in India. Vaccine. 36(26). 3836–3841. 8 indexed citations
16.
Ghosh, Arpita & Ramanan Laxminarayan. (2017). Demand- and supply-side determinants of diphtheria-pertussis-tetanus nonvaccination and dropout in rural India. Vaccine. 35(7). 1087–1093. 42 indexed citations
17.
Ghosh, Arpita, Fred A. Wright, & Fei Zou. (2013). Unified Analysis of Secondary Traits in Case–Control Association Studies. Journal of the American Statistical Association. 108(502). 566–576. 16 indexed citations
18.
Mirabello, Lisa, Chang Sun, Arpita Ghosh, et al.. (2012). Methylation of Human Papillomavirus Type 16 Genome and Risk of Cervical Precancer in a Costa Rican Population. JNCI Journal of the National Cancer Institute. 104(7). 556–565. 95 indexed citations
19.
Wentzensen, Nicolas, Chang Sun, Arpita Ghosh, et al.. (2012). Methylation of HPV18, HPV31, and HPV45 Genomes and Cervical Intraepithelial Neoplasia Grade 3. JNCI Journal of the National Cancer Institute. 104(22). 1738–1749. 108 indexed citations
20.
Gage, Julia C., Arpita Ghosh, Stephen Follansbee, et al.. (2011). A Comparison of Dacron versus Flocked Nylon Swabs for Anal Cytology Specimen Collection. Acta Cytologica. 55(4). 364–367. 24 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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