Vanika Gupta

512 total citations
14 papers, 272 citations indexed

About

Vanika Gupta is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics and Genetics. According to data from OpenAlex, Vanika Gupta has authored 14 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Insect Science, 6 papers in Ecology, Evolution, Behavior and Systematics and 5 papers in Genetics. Recurrent topics in Vanika Gupta's work include Insect symbiosis and bacterial influences (9 papers), Animal Behavior and Reproduction (5 papers) and Insect and Pesticide Research (4 papers). Vanika Gupta is often cited by papers focused on Insect symbiosis and bacterial influences (9 papers), Animal Behavior and Reproduction (5 papers) and Insect and Pesticide Research (4 papers). Vanika Gupta collaborates with scholars based in India, United States and United Kingdom. Vanika Gupta's co-authors include Pedro F. Vale, Nagaraj Guru Prasad, Zeeshan Ali Syed, Katy M. Monteith, Brian P. Lazzaro, Samuel S. C. Rund, Pratip Chakraborty, Sam P. Brown, Ashley M. Frank and Megan A. M. Kutzer and has published in prestigious journals such as PLoS ONE, Evolution and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Vanika Gupta

14 papers receiving 272 citations

Peers

Vanika Gupta
Katy M. Monteith United Kingdom
Vítor G. Faria Portugal
Yasir H. Ahmed-Braimah United States
Julien Dhinaut France
Marta S. P. Marialva Portugal
Ethan C. Degner United States
Kurtis F. Turnbull Canada
Aurelio Serrao Italy
Caroline Zanchi Germany
Tales Vicari Pascini United States
Katy M. Monteith United Kingdom
Vanika Gupta
Citations per year, relative to Vanika Gupta Vanika Gupta (= 1×) peers Katy M. Monteith

Countries citing papers authored by Vanika Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Vanika Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanika Gupta

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

All Works

14 of 14 papers shown
1.
Kutzer, Megan A. M., et al.. (2023). Intraspecific genetic variation in host vigour, viral load and disease tolerance during Drosophila C virus infection. Open Biology. 13(3). 230025–230025. 8 indexed citations
2.
Gupta, Vanika, et al.. (2022). Inherent constraints on a polyfunctional tissue lead to a reproduction-immunity tradeoff. BMC Biology. 20(1). 127–127. 19 indexed citations
3.
Gupta, Vanika & Brian P. Lazzaro. (2021). A robust method to isolate Drosophila fat body nuclei for transcriptomic analysis. Fly. 16(1). 62–67. 5 indexed citations
4.
5.
Syed, Zeeshan Ali, et al.. (2020). Absence of reproduction-immunity trade-off in male Drosophila melanogaster evolving under differential sexual selection. BMC Evolutionary Biology. 20(1). 13–13. 9 indexed citations
6.
Gupta, Vanika, et al.. (2017). Costs and benefits of sublethal Drosophila C virus infection. Journal of Evolutionary Biology. 30(7). 1325–1335. 35 indexed citations
7.
Gupta, Vanika & Pedro F. Vale. (2017). Nonlinear disease tolerance curves reveal distinct components of host responses to viral infection. Royal Society Open Science. 4(7). 170342–170342. 31 indexed citations
8.
Gogna, Navdeep, et al.. (2017). Evolution of the metabolome in response to selection for increased immunity in populations of Drosophila melanogaster. PLoS ONE. 12(11). e0188089–e0188089. 2 indexed citations
9.
Gupta, Vanika, et al.. (2017). The route of infection determines Wolbachia antibacterial protection in Drosophila. Proceedings of the Royal Society B Biological Sciences. 284(1856). 20170809–20170809. 30 indexed citations
10.
Gupta, Vanika, et al.. (2016). No apparent cost of evolved immune response inDrosophila melanogaster. Evolution. 70(4). 934–943. 21 indexed citations
11.
Gupta, Vanika, et al.. (2013). Evolution of mate-harm, longevity and behaviour in male fruit flies subjected to different levels of interlocus conflict. BMC Evolutionary Biology. 13(1). 212–212. 40 indexed citations
12.
Gupta, Vanika, Zeeshan Ali Syed, & Nagaraj Guru Prasad. (2013). Sexual activity increases resistance against Pseudomonas entomophila in male Drosophila melanogaster. BMC Evolutionary Biology. 13(1). 185–185. 21 indexed citations
13.
Chakraborty, Pratip, et al.. (2013). SPERM COMPETITIVE ABILITY EVOLVES IN RESPONSE TO EXPERIMENTAL ALTERATION OF OPERATIONAL SEX RATIO. Evolution. 67(7). 2133–2141. 30 indexed citations
14.
Gupta, Vanika, et al.. (2013). EXPERIMENTAL EVOLUTION OF FEMALE TRAITS UNDER DIFFERENT LEVELS OF INTERSEXUAL CONFLICT INDROSOPHILA MELANOGASTER. Evolution. 68(2). 412–425. 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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