Abhijeet S. Kate

718 total citations
40 papers, 518 citations indexed

About

Abhijeet S. Kate is a scholar working on Molecular Biology, Pharmacology and Plant Science. According to data from OpenAlex, Abhijeet S. Kate has authored 40 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Pharmacology and 7 papers in Plant Science. Recurrent topics in Abhijeet S. Kate's work include Microbial Natural Products and Biosynthesis (8 papers), Marine Sponges and Natural Products (5 papers) and Analytical Chemistry and Chromatography (4 papers). Abhijeet S. Kate is often cited by papers focused on Microbial Natural Products and Biosynthesis (8 papers), Marine Sponges and Natural Products (5 papers) and Analytical Chemistry and Chromatography (4 papers). Abhijeet S. Kate collaborates with scholars based in India, Sri Lanka and Canada. Abhijeet S. Kate's co-authors include Kiran Kalia, Khemraj Bairwa, Russell G. Kerr, Siddheshwar K. Chauthe, Monika Sharma, Isabelle Aubry, Michel L. Tremblay, Amit Khairnar, Nishant Sharma and Pinaki Sengupta and has published in prestigious journals such as European Journal of Pharmacology, Bioorganic & Medicinal Chemistry and Neuroscience Letters.

In The Last Decade

Abhijeet S. Kate

37 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abhijeet S. Kate India 13 199 104 89 71 53 40 518
Cristian Paz Chile 17 262 1.3× 132 1.3× 137 1.5× 86 1.2× 50 0.9× 59 685
Clarissa Amorim Silva de Cordova Brazil 10 136 0.7× 46 0.4× 66 0.7× 90 1.3× 81 1.5× 18 500
Ahmed Tawfike United Kingdom 14 287 1.4× 236 2.3× 151 1.7× 49 0.7× 89 1.7× 26 653
Sherouk Hussein Sweilam Saudi Arabia 12 161 0.8× 72 0.7× 63 0.7× 45 0.6× 13 0.2× 56 472
Elango Kannan India 14 208 1.0× 149 1.4× 89 1.0× 85 1.2× 14 0.3× 28 656
Kyoung-Su Kim South Korea 13 308 1.5× 144 1.4× 153 1.7× 42 0.6× 86 1.6× 22 621
Namki Cho South Korea 16 429 2.2× 121 1.2× 146 1.6× 94 1.3× 43 0.8× 68 865
Guei-Jane Wang Taiwan 17 314 1.6× 168 1.6× 147 1.7× 98 1.4× 48 0.9× 23 710
Shiv Kumar Dubey India 10 181 0.9× 49 0.5× 73 0.8× 30 0.4× 17 0.3× 29 540
Yuji Narukawa Japan 16 299 1.5× 96 0.9× 194 2.2× 93 1.3× 44 0.8× 32 609

Countries citing papers authored by Abhijeet S. Kate

Since Specialization
Citations

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

Fields of papers citing papers by Abhijeet S. Kate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abhijeet S. Kate. 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 Abhijeet S. Kate. The network helps show where Abhijeet S. Kate may publish in the future.

Co-authorship network of co-authors of Abhijeet S. Kate

This figure shows the co-authorship network connecting the top 25 collaborators of Abhijeet S. Kate. A scholar is included among the top collaborators of Abhijeet S. Kate 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 Abhijeet S. Kate. Abhijeet S. Kate 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.
Kate, Abhijeet S., et al.. (2025). Harnessing the Potential of Pheophorbides in Photodynamic Therapy: Natural Origins, Semi‐Synthetic Advances, and Future Directions. Chemistry & Biodiversity. 22(10). e00146–e00146.
2.
Kate, Abhijeet S., et al.. (2024). Comparative analysis of foliar galls and ungalled leaves of Alstonia scholaris with a focus on tissue ultrastructure and phytochemistry. Biochemical Systematics and Ecology. 115. 104851–104851. 2 indexed citations
3.
Srivastava, Akshay, et al.. (2024). Modulation of tumour pyruvate kinase M2 and suppression of cancer cell proliferation using natural and synthetic antioxidants. Journal of Molecular Structure. 1305. 137751–137751. 4 indexed citations
4.
Kate, Abhijeet S., et al.. (2023). Rapid and Efficient SpPRE Approach: A Step Towards Meeting High Demand of Bioactive Swertiamarin. Separation Science and Technology. 58(9). 1607–1615.
5.
Attanayake, R.N., Abhijeet S. Kate, Gothamie Weerakoon, et al.. (2022). Bioprospecting of an Endolichenic Fungus Phanerochaete sordida Isolated from Mangrove-Associated Lichen Bactrospora myriadea. Journal of Chemistry. 2022. 1–11. 1 indexed citations
6.
Behera, Santosh Kumar, et al.. (2022). Cytotoxic Bioxanthracene and Macrocyclic Polyester from Endolichenic Fungus Talaromyces pinophilus: In-Vitro and In-Silico Analysis. Indian Journal of Microbiology. 62(2). 204–214. 1 indexed citations
7.
Sharma, Monika, et al.. (2022). Neuroprotective Effect of Swertiamarin in a Rotenone Model of Parkinson’s Disease: Role of Neuroinflammation and Alpha-Synuclein Accumulation. ACS Pharmacology & Translational Science. 6(1). 40–51. 13 indexed citations
8.
Kalia, Kiran, et al.. (2022). Exploration of Potent Cytotoxic Molecules from Fungi in Recent Past to Discover Plausible Anticancer Scaffolds. Chemistry & Biodiversity. 19(4). e202100976–e202100976. 6 indexed citations
9.
10.
Jain, Alok, et al.. (2022). In-silico and in-vitro hybrid approach to identify glucagon-like peptide-1 receptor agonists from anti-diabetic natural products. Natural Product Research. 37(10). 1651–1655. 1 indexed citations
11.
12.
Attanayake, R.N., et al.. (2021). Bioactive Properties and Metabolite Profiles of Endolichenic Fungi in Mangrove Ecosystem of Negombo Lagoon, Sri Lanka. Natural Product Communications. 16(10). 5 indexed citations
13.
Sahu, Amit Kumar, et al.. (2021). Investigation of the impact of grapefruit juice, pomegranate juice and tomato juice on pharmacokinetics of brexpiprazole in rats using UHPLC–QTOF–MS. Biomedical Chromatography. 35(11). e5201–e5201. 6 indexed citations
14.
15.
Kate, Abhijeet S., et al.. (2020). Multifarious Elicitors: Invoking Biosynthesis of Various Bioactive Secondary Metabolite in Fungi. Applied Biochemistry and Biotechnology. 193(3). 668–686. 10 indexed citations
16.
Polaka, Suryanarayana, et al.. (2020). Update on compatibility assessment of empagliflozin with the selected pharmaceutical excipients employed in solid dosage forms by thermal, spectroscopic and chromatographic techniques. Drug Development and Industrial Pharmacy. 46(2). 209–218. 14 indexed citations
17.
Kalia, Kiran, et al.. (2019). Plant-Derived Bioactive Peptides: A Treatment to Cure Diabetes. International Journal of Peptide Research and Therapeutics. 26(2). 955–968. 94 indexed citations
18.
Kate, Abhijeet S., et al.. (2019). Structural characterization of forced degradation products of empagliflozin by high resolution mass spectrometry. Journal of Liquid Chromatography & Related Technologies. 42(13-14). 417–428. 11 indexed citations
19.
20.
Kate, Abhijeet S., et al.. (2019). In silico , in vitro and in vivo metabolite identification of brexpiprazole using ultra‐high‐performance liquid chromatography/quadrupole time‐of‐flight mass spectrometry. Rapid Communications in Mass Spectrometry. 33(11). 1024–1035. 6 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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