Dhanashree Kelkar

4.7k total citations
21 papers, 1000 citations indexed

About

Dhanashree Kelkar is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Dhanashree Kelkar has authored 21 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in Dhanashree Kelkar's work include COVID-19 epidemiological studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Reproductive Biology and Fertility (2 papers). Dhanashree Kelkar is often cited by papers focused on COVID-19 epidemiological studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Reproductive Biology and Fertility (2 papers). Dhanashree Kelkar collaborates with scholars based in India, United States and Austria. Dhanashree Kelkar's co-authors include Akhilesh Pandey, Harsha Gowda, Stanislaw P. Stawicki, Thomas J. Papadimos, Thottethodi Subrahmanya Keshava Prasad, SagarC Galwankar, Rakesh Sharma, Sneha M. Pinto, Kusum Zaveri and Srabani Mukherjee and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Bioresource Technology and Journal of Medicinal Chemistry.

In The Last Decade

Dhanashree Kelkar

20 papers receiving 979 citations

Peers

Dhanashree Kelkar
Ronald Bellisario United States
Aileen Y. Chang United States
Antti Seppo United States
Nancy P. Y. Chung United States
Dhanashree Kelkar
Citations per year, relative to Dhanashree Kelkar Dhanashree Kelkar (= 1×) peers Jakob Albrethsen

Countries citing papers authored by Dhanashree Kelkar

Since Specialization
Citations

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

Fields of papers citing papers by Dhanashree Kelkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhanashree Kelkar

This figure shows the co-authorship network connecting the top 25 collaborators of Dhanashree Kelkar. A scholar is included among the top collaborators of Dhanashree Kelkar 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 Dhanashree Kelkar. Dhanashree Kelkar 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.
Thakur, Suman, Dhanashree Kelkar, Suneela Garg, et al.. (2022). Why Should RNA Viruses Have All the Fun – Monkeypox, a Close Relative of Smallpox and a DNA Virus. Journal of Global Infectious Diseases. 14(2). 47–49. 3 indexed citations
2.
Chauhan, Vivek, Suman Thakur, Sagar Galwankar, et al.. (2020). Covid-19 testing strategy of India – Current status and the way forward. Journal of Global Infectious Diseases. 12(2). 44–44. 2 indexed citations
3.
Kelkar, Dhanashree, Govindan Ravikumar, Shubham Singh, et al.. (2019). A chemical–genetic screen identifies ABHD12 as an oxidized-phosphatidylserine lipase. Nature Chemical Biology. 15(2). 169–178. 56 indexed citations
4.
Soni, Isha, Dhanashree Kelkar, Dharmaraja Allimuthu, et al.. (2019). Chemoproteomics of an Indole-Based Quinone Epoxide Identifies Druggable Vulnerabilities in Vancomycin-Resistant Staphylococcus aureus. Journal of Medicinal Chemistry. 62(14). 6785–6795. 22 indexed citations
5.
Sadtler, Kaitlyn, Sven D. Sommerfeld, Matthew T. Wolf, et al.. (2017). Proteomic composition and immunomodulatory properties of urinary bladder matrix scaffolds in homeostasis and injury. Seminars in Immunology. 29. 14–23. 74 indexed citations
6.
Stawicki, Stanislaw P., Veronica Sikka, Vijay Kumar Chattu, et al.. (2016). The emergence of zika virus as a global health security threat: A review and a consensus statement of the INDUSEM Joint working Group (JWG). Journal of Global Infectious Diseases. 8(1). 3–3. 154 indexed citations
7.
Wu, Xinyan, Muhammad Saddiq Zahari, Santosh Renuse, et al.. (2016). The non-receptor tyrosine kinase TNK2/ACK1 is a novel therapeutic target in triple negative breast cancer. Oncotarget. 8(2). 2971–2983. 33 indexed citations
8.
Stawicki, Stanislaw P., et al.. (2015). The Ebola outbreak of 2014-2015: From coordinated multilateral action to effective disease containment, vaccine development, and beyond. Journal of Global Infectious Diseases. 7(4). 127–127. 24 indexed citations
9.
Selvan, Lakshmi Dhevi N., Raja Sekhar Nirujogi, Babylakshmi Muthusamy, et al.. (2014). Proteogenomic analysis of pathogenic yeast Cryptococcus neoformans using high resolution mass spectrometry. Clinical Proteomics. 11(1). 5–5. 15 indexed citations
10.
Kelkar, Dhanashree, Sneha M. Pinto, Rakesh Sharma, et al.. (2014). Proteomics of Follicular Fluid From Women With Polycystic Ovary Syndrome Suggests Molecular Defects in Follicular Development. The Journal of Clinical Endocrinology & Metabolism. 100(2). 744–753. 107 indexed citations
11.
Stawicki, Stanislaw P., Sarathi Kalra, Dhanashree Kelkar, et al.. (2014). The emergence of Ebola as a global health security threat: From ′lessons learned′ to coordinated multilateral containment efforts. Journal of Global Infectious Diseases. 6(4). 164–164. 68 indexed citations
12.
Galwankar, Sagar & Dhanashree Kelkar. (2013). State of the Globe: Antimicrobial stewardship guides rationale use of antimicrobials to enable faster cure and prevent drug resistance. Journal of Global Infectious Diseases. 5(2). 43–43. 3 indexed citations
13.
Nirujogi, Raja Sekhar, Srikanth S. Manda, Sandip Chavan, et al.. (2013). Proteomic analysis of human follicular fluid: A new perspective towards understanding folliculogenesis. Journal of Proteomics. 87. 68–77. 121 indexed citations
14.
Goel, Renu, Krishna R. Murthy, Srikanth S. Manda, et al.. (2013). Characterizing the normal proteome of human ciliary body. Clinical Proteomics. 10(1). 9–9. 35 indexed citations
15.
Kelkar, Dhanashree, et al.. (2013). Clostridium difficile Osteomyelitis Associated With Methotrexate Use. Infectious Diseases in Clinical Practice. 22(4). e60–e62.
16.
Pawar, Harsh, Nandini A. Sahasrabuddhe, Santosh Renuse, et al.. (2012). A proteogenomic approach to map the proteome of an unsequenced pathogen – Leishmania donovani. PROTEOMICS. 12(6). 832–844. 41 indexed citations
17.
Marimuthu, Arivusudar, Robert N. O’Meally, Raghothama Chaerkady, et al.. (2011). A Comprehensive Map of the Human Urinary Proteome. Journal of Proteome Research. 10(6). 2734–2743. 149 indexed citations
18.
Chaerkady, Raghothama, Candace L. Kerr, Arivusudar Marimuthu, et al.. (2009). Temporal Analysis of Neural Differentiation Using Quantitative Proteomics. Journal of Proteome Research. 8(3). 1315–1326. 46 indexed citations
19.
Kelkar, Dhanashree, Ameeta Ravi Kumar, & Smita Zinjarde. (2006). Hydrocarbon emulsification and enhanced crude oil degradation by lauroyl glucose ester. Bioresource Technology. 98(7). 1505–1508. 14 indexed citations
20.
Janakiramaiah, N. & Dhanashree Kelkar. (1981). Neurotic Illness Questionnaire: A Brief Report. Indian Journal of Psychological Medicine. 4(1). 33–38. 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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