Deepa Agashe

2.0k total citations
50 papers, 1.0k citations indexed

About

Deepa Agashe is a scholar working on Molecular Biology, Insect Science and Genetics. According to data from OpenAlex, Deepa Agashe has authored 50 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 19 papers in Insect Science and 17 papers in Genetics. Recurrent topics in Deepa Agashe's work include Evolution and Genetic Dynamics (12 papers), Plant and animal studies (11 papers) and Genomics and Phylogenetic Studies (10 papers). Deepa Agashe is often cited by papers focused on Evolution and Genetic Dynamics (12 papers), Plant and animal studies (11 papers) and Genomics and Phylogenetic Studies (10 papers). Deepa Agashe collaborates with scholars based in India, United States and Germany. Deepa Agashe's co-authors include Daniel I. Bolnick, Imroze Khan, Arun Prakash, Christopher J. Marx, N. Cecilia Martínez-Gómez, Gaurav D. Diwan, D. Allan Drummond, Krushnamegh Kunte, Jens Rolff and Christine Parent and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Deepa Agashe

48 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Deepa Agashe India	19	394	364	257	221	201	50	1.0k
Simon Fellous France	22	422 1.1×	200 0.5×	487 1.9×	333 1.5×	375 1.9×	45	1.2k
Gerrit Joop Germany	16	231 0.6×	174 0.5×	546 2.1×	323 1.5×	195 1.0×	29	1.0k
Peter D. Fields Switzerland	19	483 1.2×	267 0.7×	141 0.5×	165 0.7×	258 1.3×	53	957
Frantz Depaulis France	16	901 2.3×	389 1.1×	183 0.7×	251 1.1×	222 1.1×	25	1.3k
Alison B. Duncan France	20	414 1.1×	106 0.3×	246 1.0×	232 1.0×	276 1.4×	37	830
Rodrigo Cogni Brazil	17	267 0.7×	116 0.3×	397 1.5×	349 1.6×	120 0.6×	39	776
Eleanor R. Haine United Kingdom	12	211 0.5×	106 0.3×	666 2.6×	234 1.1×	240 1.2×	15	1.1k
Seth M. Barribeau Switzerland	18	408 1.0×	96 0.3×	605 2.4×	453 2.0×	135 0.7×	28	1.0k
Yu-Ping Poh United States	9	752 1.9×	413 1.1×	81 0.3×	187 0.8×	118 0.6×	11	1.1k
Jacob E. Crawford United States	16	343 0.9×	272 0.7×	253 1.0×	94 0.4×	81 0.4×	33	1.1k

Countries citing papers authored by Deepa Agashe

Since Specialization

Citations

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

Fields of papers citing papers by Deepa Agashe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepa Agashe

This figure shows the co-authorship network connecting the top 25 collaborators of Deepa Agashe. A scholar is included among the top collaborators of Deepa Agashe 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 Deepa Agashe. Deepa Agashe 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

Agashe, Deepa, et al.. (2025). Mutation bias alters the distribution of fitness effects of mutations. PLoS Biology. 23(7). e3003282–e3003282.

Kurzthaler, Christina, et al.. (2024). Cell shape affects bacterial colony growth under physical confinement. Nature Communications. 15(1). 9561–9561. 10 indexed citations

Garushyants, Sofya K., et al.. (2024). Mutational Signatures in Wild Type Escherichia coli Strains Reveal Predominance of DNA Polymerase Errors. Genome Biology and Evolution. 16(4). 3 indexed citations

Krishna, Sandeep, et al.. (2024). Density dependent survival drives variation in density dependent population growth of an insect pest. Oikos. 2024(12).

Gallie, Jenna, et al.. (2023). The layered costs and benefits of translational redundancy. eLife. 12. 5 indexed citations

Prakash, Arun, Deepa Agashe, & Imroze Khan. (2023). Alteration of diet microbiota limits the experimentally evolved immune priming response in flour beetles, but not pathogen resistance. Journal of Evolutionary Biology. 36(12). 1745–1752. 4 indexed citations

Agashe, Deepa, et al.. (2023). Revisiting the Role of Genetic Variation in Adaptation. The American Naturalist. 202(4). 486–502. 10 indexed citations

Shivaprasad, P. V., et al.. (2022). Impact of Phyllosphere Methylobacterium on Host Rice Landraces. Microbiology Spectrum. 10(4). e0081022–e0081022. 16 indexed citations

Mahajan, Saurabh & Deepa Agashe. (2022). Evolutionary jumps in bacterial GC content. G3 Genes Genomes Genetics. 12(8). 11 indexed citations

10.

Agashe, Deepa, et al.. (2022). Fitness landscapes reveal context-dependent benefits of oviposition behavior. Evolution. 77(2). 550–561. 2 indexed citations

11.

Samhita, Laasya, et al.. (2021). The impact of mistranslation on phenotypic variability and fitness. Evolution. 75(5). 1201–1217. 6 indexed citations

12.

Prakash, Arun, Deepa Agashe, & Imroze Khan. (2021). The costs and benefits of basal infection resistance vs immune priming responses in an insect. Developmental & Comparative Immunology. 126. 104261–104261. 6 indexed citations

13.

Samhita, Laasya, et al.. (2020). Global mistranslation increases cell survival under stress in Escherichia coli. PLoS Genetics. 16(3). e1008654–e1008654. 26 indexed citations

14.

Khan, Imroze, Arun Prakash, & Deepa Agashe. (2019). Pathogen susceptibility and fitness costs explain variation in immune priming across natural populations of flour beetles. Journal of Animal Ecology. 88(9). 1332–1342. 20 indexed citations

15.

Mahajan, Saurabh & Deepa Agashe. (2018). Translational Selection for Speed Is Not Sufficient to Explain Variation in Bacterial Codon Usage Bias. Genome Biology and Evolution. 10(2). 562–576. 9 indexed citations

16.

Khan, Imroze, Arun Prakash, & Deepa Agashe. (2017). Experimental evolution of insect immune memory versus pathogen resistance. Proceedings of the Royal Society B Biological Sciences. 284(1869). 20171583–20171583. 29 indexed citations

17.

Khan, Imroze, Deepa Agashe, & Jens Rolff. (2017). Early-life inflammation, immune response and ageing. Proceedings of the Royal Society B Biological Sciences. 284(1850). 20170125–20170125. 52 indexed citations

18.

Nayak, Dipti D., Deepa Agashe, Ming‐Chun Lee, & Christopher J. Marx. (2016). Selection Maintains Apparently Degenerate Metabolic Pathways due to Tradeoffs in Using Methylamine for Carbon versus Nitrogen. Current Biology. 26(11). 1416–1426. 15 indexed citations

19.

Agashe, Deepa, N. Cecilia Martínez-Gómez, D. Allan Drummond, & Christopher J. Marx. (2012). Good Codons, Bad Transcript: Large Reductions in Gene Expression and Fitness Arising from Synonymous Mutations in a Key Enzyme. Molecular Biology and Evolution. 30(3). 549–560. 106 indexed citations

20.

Tiple, Ashish D., Deepa Agashe, Arun M. Khurad, & Krushnamegh Kunte. (2009). Population dynamics and seasonal polyphenism of Chilades pandava butterfly (Lycaenidae) in central India.. Current Science. 97(12). 1774–1779. 12 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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