Priya Kulkarni

922 total citations
11 papers, 208 citations indexed

About

Priya Kulkarni is a scholar working on Rheumatology, Pharmacology and Molecular Biology. According to data from OpenAlex, Priya Kulkarni has authored 11 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Rheumatology, 4 papers in Pharmacology and 3 papers in Molecular Biology. Recurrent topics in Priya Kulkarni's work include Osteoarthritis Treatment and Mechanisms (7 papers), Inflammatory mediators and NSAID effects (3 papers) and Knee injuries and reconstruction techniques (2 papers). Priya Kulkarni is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (7 papers), Inflammatory mediators and NSAID effects (3 papers) and Knee injuries and reconstruction techniques (2 papers). Priya Kulkarni collaborates with scholars based in India, Estonia and Australia. Priya Kulkarni's co-authors include Abhay Harsulkar, Aare Märtson, Sulev Kõks, Soumya J. Koppikar, Suresh Jagtap, Anne‐Grete Märtson, Vivek Kumar Singh, Yuki Shimizu‐Yoshida, Samik Ghosh and Abhay Jere and has published in prestigious journals such as International Journal of Molecular Sciences, Cells and Journal of Economic Entomology.

In The Last Decade

Priya Kulkarni

10 papers receiving 206 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Priya Kulkarni India 7 137 79 40 29 23 11 208
Michael A. Diaz United States 6 55 0.4× 75 0.9× 49 1.2× 11 0.4× 20 0.9× 9 200
Uxía Nogueira-Recalde Spain 4 87 0.6× 90 1.1× 26 0.7× 27 0.9× 9 0.4× 15 204
Joël van Roon Netherlands 6 111 0.8× 62 0.8× 52 1.3× 51 1.8× 13 0.6× 9 222
Giuseppe Campagnuolo United States 5 131 1.0× 161 2.0× 22 0.6× 35 1.2× 120 5.2× 7 256
Eleni Siouti Greece 3 61 0.4× 90 1.1× 8 0.2× 76 2.6× 30 1.3× 3 205
Guangyue Zhao China 6 47 0.3× 79 1.0× 25 0.6× 17 0.6× 23 1.0× 15 223
Nusrat K. Shaikh India 8 77 0.6× 74 0.9× 9 0.2× 14 0.5× 28 1.2× 13 307
Takuma Kawakami Japan 5 41 0.3× 45 0.6× 6 0.1× 60 2.1× 36 1.6× 10 176
Chloe Pass United Kingdom 7 24 0.2× 80 1.0× 6 0.1× 57 2.0× 29 1.3× 9 218
Siyi Liu China 6 32 0.2× 174 2.2× 11 0.3× 18 0.6× 20 0.9× 15 322

Countries citing papers authored by Priya Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Priya Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Priya Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of Priya Kulkarni. A scholar is included among the top collaborators of Priya Kulkarni 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 Priya Kulkarni. Priya Kulkarni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
2.
Kulkarni, Priya, et al.. (2022). Mast Cells Differentiated in Synovial Fluid and Resident in Osteophytes Exalt the Inflammatory Pathology of Osteoarthritis. International Journal of Molecular Sciences. 23(1). 541–541. 22 indexed citations
3.
Kulkarni, Priya, Kaspar Tootsi, Avinash Kharat, et al.. (2022). Synovial Fluid in Knee Osteoarthritis Extends Proinflammatory Niche for Macrophage Polarization. Cells. 11(24). 4115–4115. 18 indexed citations
4.
Kulkarni, Priya, et al.. (2021). Synovium-Synovial Fluid Axis in Osteoarthritis Pathology: A Key Regulator of the Cartilage Degradation Process. Genes. 12(7). 989–989. 31 indexed citations
5.
Kulkarni, Priya, et al.. (2020). Pathophysiological landscape of osteoarthritis. Advances in clinical chemistry. 37–90. 71 indexed citations
6.
Kulkarni, Priya, et al.. (2018). Reduced synovial inflammation and inhibition of matrix metalloproteinases explicates anti-osteoarthritis activity of polyherbal formulations. Indian Journal of Pharmacology. 50(1). 22–22. 7 indexed citations
7.
Kawakami, Eiryo, Vivek Kumar Singh, Takashi Ishii, et al.. (2016). Network analyses based on comprehensive molecular interaction maps reveal robust control structures in yeast stress response pathways. npj Systems Biology and Applications. 2(1). 15018–15018. 24 indexed citations
8.
9.
Koppikar, Soumya J., et al.. (2015). Inflammatory response of cultured rat synoviocytes challenged with synovial fluid from osteoarthritis patients correlates with their radiographic grading: a pilot study. In Vitro Cellular & Developmental Biology - Animal. 51(8). 843–850. 5 indexed citations
10.
Kulkarni, Priya, et al.. (2014). Meniscal tear as potential steering factor for inflammation may aggravate arthritis: two case reports. Journal of Medical Case Reports. 8(1). 137–137. 5 indexed citations
11.
Kulkarni, Priya, Norman Mitlin, & George A. Hurst. (1973). Toxicity of Busulfan and Influence of Ingested Chemosterilized Boll Weevils on Reproductive Performance of the Japanese Quail12. Journal of Economic Entomology. 66(2). 341–343. 1 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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