Mahesh J. Kulkarni

3.0k total citations · 1 hit paper
110 papers, 2.3k citations indexed

About

Mahesh J. Kulkarni is a scholar working on Clinical Biochemistry, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Mahesh J. Kulkarni has authored 110 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Clinical Biochemistry, 31 papers in Endocrinology, Diabetes and Metabolism and 30 papers in Molecular Biology. Recurrent topics in Mahesh J. Kulkarni's work include Advanced Glycation End Products research (44 papers), Natural Antidiabetic Agents Studies (19 papers) and Biochemical effects in animals (10 papers). Mahesh J. Kulkarni is often cited by papers focused on Advanced Glycation End Products research (44 papers), Natural Antidiabetic Agents Studies (19 papers) and Biochemical effects in animals (10 papers). Mahesh J. Kulkarni collaborates with scholars based in India, United Kingdom and United States. Mahesh J. Kulkarni's co-authors include Ashok P. Giri, Sneha B. Bansode, Arvind M. Korwar, Rakesh S. Joshi, Mashanipalya G. Jagadeeshaprasad, Ashok D. Chougale, Vaibhav Kumar Pandya, S. Shiva Shankar, Meenakshi B. Tellis and Shounak Jagdale and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Mahesh J. Kulkarni

104 papers receiving 2.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Discovery of potential multi-target-directed ligands by targeting host-specific SARS-CoV-2 structurally conserved main protease

2020 280 citations Rakesh S. Joshi, Sneha B. Bansode et al. Journal of Biomolecular Structure and Dynamics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mahesh J. Kulkarni India	27	796	470	420	293	244	110	2.3k
Shinichi Ikushiro Japan	30	1.4k 1.8×	168 0.4×	408 1.0×	165 0.6×	222 0.9×	155	3.8k
Zhong‐Ze Fang China	33	1.4k 1.7×	127 0.3×	202 0.5×	223 0.8×	228 0.9×	168	3.2k
Urs A. Boelsterli Switzerland	45	1.7k 2.2×	181 0.4×	177 0.4×	323 1.1×	179 0.7×	110	5.3k
Soliman Khatib Israel	25	634 0.8×	313 0.7×	131 0.3×	120 0.4×	303 1.2×	88	2.2k
Hannelore Daniel Germany	33	1.4k 1.8×	160 0.3×	398 0.9×	537 1.8×	259 1.1×	91	4.0k
Kyung‐Hyun Cho South Korea	37	924 1.2×	214 0.5×	656 1.6×	272 0.9×	256 1.0×	161	3.4k
Ida S. Owens United States	31	2.3k 2.8×	268 0.6×	398 0.9×	174 0.6×	234 1.0×	65	4.4k
Wolf‐Hagen Schunck Germany	37	1.8k 2.2×	89 0.2×	775 1.8×	455 1.6×	118 0.5×	113	4.8k
Ramiro Jover Spain	43	1.9k 2.4×	84 0.2×	502 1.2×	513 1.8×	163 0.7×	116	5.4k
Isabelle de Waziers France	32	1.4k 1.8×	60 0.1×	263 0.6×	306 1.0×	140 0.6×	66	3.8k

Countries citing papers authored by Mahesh J. Kulkarni

Since Specialization

Citations

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

Fields of papers citing papers by Mahesh J. Kulkarni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahesh J. Kulkarni

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

All Works

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20 of 20 papers shown

Malakar, Dipankar, et al.. (2025). Early and advanced glycation end product analysis from women with PCOS on metformin. Reproductive Biology. 25(1). 100993–100993. 2 indexed citations

Sharma, Monika, et al.. (2024). SWATH-MS reveals that bisphenol A and its analogs regulate pathways leading to disruption in insulin signaling and fatty acid metabolism. Food and Chemical Toxicology. 188. 114667–114667. 4 indexed citations

Shankar, S. Shiva, et al.. (2023). De novo structure prediction of meteorin and meteorin-like protein for identification of domains, functional receptor binding regions, and their high-risk missense variants. Journal of Biomolecular Structure and Dynamics. 42(9). 4522–4536. 6 indexed citations

Bansode, Sneha B., Pawan Singh, Meenakshi B. Tellis, et al.. (2023). A Comprehensive Molecular and Clinical Investigation of Approved Anti-HCV Drugs Repurposing against SARS-CoV-2 Infection: A Glaring Gap between Benchside and Bedside Medicine. Vaccines. 11(3). 515–515. 1 indexed citations

Agrawal, Usha, et al.. (2023). Protective Effects of Rifampicin and Its Analog Rifampicin Quinone in a Mouse Model of Obesity-Induced Type 2 Diabetes. ACS Pharmacology & Translational Science. 6(2). 253–269. 2 indexed citations

Bhambure, Rahul, et al.. (2022). Investigation of the Captopril–Insulin Interaction by Mass Spectrometry and Computational Approaches Reveals that Captopril Induces Structural Changes in Insulin. ACS Omega. 7(27). 23115–23126. 1 indexed citations

Agawane, Sachin B., Vidya S. Gupta, Mahesh J. Kulkarni, Asish K. Bhattacharya, & Santosh Koratkar. (2018). Chemo-biological evaluation of antidiabetic activity of Mentha arvensis L. and its role in inhibition of advanced glycation end products. Journal of Ayurveda and Integrative Medicine. 10(3). 166–170. 14 indexed citations

Bhat, Manoj Kumar, et al.. (2017). Methylglyoxal attenuates insulin signaling and downregulates the enzymes involved in cholesterol biosynthesis. Molecular BioSystems. 13(11). 2338–2349. 13 indexed citations

More, Shyam K., et al.. (2017). Mass spectrometry based identification of galectin-3 interacting proteins potentially involved in lung melanoma metastasis. Molecular BioSystems. 13(11). 2303–2309. 7 indexed citations

10.

Kulkarni, Mahesh J., et al.. (2014). Selection and microbial control of disinfectants and validation of disinfectant microbial efficacy in the pharma & biopharmaceutical industry: a case study. International Journal of Bioassays. 3(5). 2079–2082.

11.

Chougale, Ashok D., et al.. (2013). CHARACTERIZATION OF THE Α-AMYLASE INHIBITOR FROM THE SEEDS OF MACROTYLOMA UNIFLORUM AND VIGNA UNGUICULATA. International Journal of Pharma and Bio Sciences. 2 indexed citations

12.

Panaskar, Shrimant N., et al.. (2013). A novel mechanism for antiglycative action of limonene through stabilization of protein conformation. Molecular BioSystems. 9(10). 2463–2472. 45 indexed citations

13.

Korwar, Arvind M., et al.. (2013). Proteomic Profiling and Interactome Analysis of ER-Positive/HER2/ neu Negative Invasive Ductal Carcinoma of the Breast: Towards Proteomics Biomarkers. OMICS A Journal of Integrative Biology. 17(1). 27–40. 12 indexed citations

14.

Korwar, Arvind M., Ashok D. Chougale, Sachin Kote, et al.. (2012). Analysis of AGE modified proteins and RAGE expression in HER2/neu negative invasive ductal carcinoma. Biochemical and Biophysical Research Communications. 419(3). 490–494. 25 indexed citations

15.

Kulkarni, Mahesh J., et al.. (2012). Growth performance of broilers in experimental Reovirus infections. Veterinary World. 5(11). 684–684.

16.

Chougale, Ashok D., et al.. (2011). Proteomic Analysis of Glycated Proteins from Streptozotocin-Induced Diabetic Rat Kidney. Molecular Biotechnology. 50(1). 28–38. 13 indexed citations

17.

Juhász, Péter, Mahadevan Sethuraman, J. M. Campbell, et al.. (2010). Semi-Targeted Plasma Proteomics Discovery Workflow Utilizing Two-Stage Protein Depletion and Off-Line LC−MALDI MS/MS. Journal of Proteome Research. 10(1). 34–45. 19 indexed citations

18.

Dhaneshwar, Sunil R., et al.. (2009). Application of Stability Indicating HPTLC Method for Quantitative Determination of Escitalopram Oxalate in Pharmaceutical Dosage Form. Eurasian Journal of Analytical Chemistry. 2(2). 101–117. 12 indexed citations

19.

Kulkarni, Mahesh J., et al.. (2000). Should plants keep their (canopy) 'cool' or allow themselves to grow 'warm' under stress: It is a Hobson's choice and plants survive by doing a balancing act. Current Science. 78(7). 786–789. 1 indexed citations

20.

Kulkarni, Mahesh J., et al.. (2000). Biochemical and histological changes associated with downy mildew (Plasmopara halstedii (Farl.) Berl. and de Toni) infection in sunflower (Helianthus annuus L.). Helia. 23(33). 1–18. 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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