Maushmi S. Kumar

1.7k total citations · 1 hit paper
43 papers, 1.1k citations indexed

About

Maushmi S. Kumar is a scholar working on Biotechnology, Pharmacology and Molecular Biology. According to data from OpenAlex, Maushmi S. Kumar has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Biotechnology, 15 papers in Pharmacology and 13 papers in Molecular Biology. Recurrent topics in Maushmi S. Kumar's work include Marine Sponges and Natural Products (14 papers), Microbial Natural Products and Biosynthesis (9 papers) and Synthesis and biological activity (8 papers). Maushmi S. Kumar is often cited by papers focused on Marine Sponges and Natural Products (14 papers), Microbial Natural Products and Biosynthesis (9 papers) and Synthesis and biological activity (8 papers). Maushmi S. Kumar collaborates with scholars based in India, Netherlands and Poland. Maushmi S. Kumar's co-authors include Kalyani Barve, Sahil Khan, Shalini Bajaj, Godefridus J. Peters, Manikanta Murahari, Asim K. Pal, Tanuja Yadav, Vivek Mahajan, Dhruv Gupta and Nancy Pandita and has published in prestigious journals such as Gene, Critical Reviews in Food Science and Nutrition and Biomedicine & Pharmacotherapy.

In The Last Decade

Maushmi S. Kumar

41 papers receiving 1.1k citations

Hit Papers

Recent Advancements in Pathogenesis, Diagnostics and Trea... 2020 2026 2022 2024 2020 100 200 300 400
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.

  1. Recent Advancements in Pathogenesis, Diagnostics and Treatment of Alzheimer’s Disease
    2020 489 citations Maushmi S. Kumar et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maushmi S. Kumar India 14 378 269 180 142 95 43 1.1k
Ziwei Chen China 19 409 1.1× 118 0.4× 130 0.7× 50 0.4× 41 0.4× 88 1.0k
Domenico Ciavardelli Italy 26 768 2.0× 538 2.0× 94 0.5× 95 0.7× 89 0.9× 49 2.0k
Hui Lei China 22 390 1.0× 97 0.4× 312 1.7× 147 1.0× 169 1.8× 72 1.2k
Manuela Leri Italy 21 480 1.3× 306 1.1× 129 0.7× 230 1.6× 74 0.8× 47 1.4k
Miriam Scicchitano Italy 23 547 1.4× 282 1.0× 106 0.6× 53 0.4× 82 0.9× 37 1.5k
Steyner F. Côrtes Brazil 31 785 2.1× 461 1.7× 289 1.6× 150 1.1× 57 0.6× 94 2.2k
Shiyao Xu China 20 535 1.4× 102 0.4× 147 0.8× 158 1.1× 79 0.8× 88 1.7k
Kalyani Barve India 14 310 0.8× 231 0.9× 114 0.6× 31 0.2× 101 1.1× 33 890
Elena Lucarini Italy 21 648 1.7× 391 1.5× 228 1.3× 143 1.0× 102 1.1× 74 1.4k
Zhang-Jin Zhang Hong Kong 15 563 1.5× 174 0.6× 119 0.7× 65 0.5× 95 1.0× 26 2.1k

Countries citing papers authored by Maushmi S. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Maushmi S. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maushmi S. Kumar

This figure shows the co-authorship network connecting the top 25 collaborators of Maushmi S. Kumar. A scholar is included among the top collaborators of Maushmi S. Kumar 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 Maushmi S. Kumar. Maushmi S. Kumar 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.
Yadav, Tanuja, Mukesh Nandave, Vikas Dighe, et al.. (2024). Newly synthesized acridone derivatives targeting lung cancer: A toxicity and xenograft model study. Drug Development Research. 85(4).
2.
Kumar, Maushmi S., et al.. (2024). Exploring the therapeutic potential of steroidal alkaloids in managing Alzheimer’s disease. Steroids. 209. 109468–109468. 2 indexed citations
3.
4.
Agarwal, Ashok & Maushmi S. Kumar. (2024). Effect of epigenetic changes in hypoxia induced factor (HIF) gene across cancer types. Gene. 934. 149047–149047. 1 indexed citations
5.
Yadav, Tanuja, et al.. (2023). Synthesis, cytotoxicity, and docking based analysis of acridone-N-acetamides as AKT kinase inhibitors. Chemical Papers. 77(6). 3129–3144. 1 indexed citations
6.
Kumar, Maushmi S., et al.. (2023). Gut microbial metabolites of dietary polyphenols and their potential role in human health and diseases. Journal of Physiology and Biochemistry. 79(4). 695–718. 34 indexed citations
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8.
Yadav, Tanuja, et al.. (2022). A Review on Fused Pyrimidine Systems as EGFR Inhibitors and Their Structure–Activity Relationship. Frontiers in Chemistry. 10. 861288–861288. 25 indexed citations
9.
Kumar, Maushmi S.. (2022). Antifungal and antibacterial activity of marine sponges from Ratnagiri coast of India. Journal de Mycologie Médicale. 32(4). 101305–101305. 1 indexed citations
10.
Kumar, Maushmi S., et al.. (2022). Microbial Diversity in the Indian Ocean Sediments: An Insight into the Distribution and Associated Factors. Current Microbiology. 79(4). 115–115. 9 indexed citations
11.
Murahari, Manikanta, et al.. (2021). Studies on ligand-based pharmacophore modeling approach in identifying potent future EGFR inhibitors. Journal of Molecular Graphics and Modelling. 112. 108114–108114. 13 indexed citations
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14.
Kumar, Maushmi S., et al.. (2018). CHARACTERIZATION OF AN ANTIMICROBIAL AND ANTIOXIDANT COMPOUND FROM A MARINE BACTERIUM GSA10 ASSOCIATED WITH THE SPONGE HALICHONDRIA GLABRATA. Journal of Microbiology Biotechnology and Food Sciences. 2021(2). 651–658. 2 indexed citations
15.
Bajaj, Shalini, et al.. (2018). An overview of tramadol and its usage in pain management and future perspective. Biomedicine & Pharmacotherapy. 111. 443–451. 138 indexed citations
16.
Kumar, Maushmi S., et al.. (2016). Trans generational immune priming in aquaculture- disease combating potential. International Journal of Fisheries and Aquatic Studies. 4(2). 126–130. 3 indexed citations
17.
Kumar, Maushmi S., et al.. (2016). Biotransformation of bromhexine by Cunninghamella elegans , C. echinulata and C. blakesleeana. Brazilian Journal of Microbiology. 48(2). 259–267. 14 indexed citations
18.
Menon, Parvathi & Maushmi S. Kumar. (2014). DIABETES-POST-TRANSLATIONAL PROTEIN MODIFICATION FOR DEVELOPMENT OF NEW DRUGS. INDIAN DRUGS. 51(9). 5–11. 1 indexed citations
19.
Kumar, Maushmi S., et al.. (2012). Immunomodulatory Potential of a Marine Sponge Spongosorites halichondrioides (Dendy, 1905). Turkish Journal of Fisheries and Aquatic Sciences. 12(1). 67–71. 1 indexed citations
20.
Kumar, Maushmi S., Nancy Pandita, & Asim K. Pal. (2012). LC-MS/MS as a tool for identification of bioactive compounds in marine sponge Spongosorites halichondriodes (Dendy 1905). Toxicon. 60(6). 1135–1147. 13 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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