Arpita Kulkarni

941 total citations · 1 hit paper
17 papers, 449 citations indexed

About

Arpita Kulkarni is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Arpita Kulkarni has authored 17 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Ecology. Recurrent topics in Arpita Kulkarni's work include Animal Behavior and Reproduction (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Parasite Biology and Host Interactions (3 papers). Arpita Kulkarni is often cited by papers focused on Animal Behavior and Reproduction (3 papers), Neurobiology and Insect Physiology Research (3 papers) and Parasite Biology and Host Interactions (3 papers). Arpita Kulkarni collaborates with scholars based in United States, Germany and Japan. Arpita Kulkarni's co-authors include Cassandra G. Extavour, Tanmoy Saha, Chinmayee Dash, Aditya Bardia, Jayanta Mondal, Shiladitya Sengupta, Hae Lin Jang, Kiran Kurmi, Pradip K. Majumder and Sachin Khiste and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Nanotechnology.

In The Last Decade

Arpita Kulkarni

16 papers receiving 441 citations

Hit Papers

Intercellular nanotubes m... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arpita Kulkarni United States 10 213 125 83 75 58 17 449
María Licursi Canada 13 185 0.9× 156 1.2× 43 0.5× 38 0.5× 58 1.0× 21 429
Adam Brown United States 10 337 1.6× 92 0.7× 38 0.5× 135 1.8× 46 0.8× 19 493
Justine Marsolier France 11 498 2.3× 116 0.9× 32 0.4× 152 2.0× 40 0.7× 15 700
Tania V. Silvas United States 9 276 1.3× 51 0.4× 86 1.0× 26 0.3× 57 1.0× 9 470
Roberto Ferrarese Germany 15 273 1.3× 199 1.6× 34 0.4× 78 1.0× 53 0.9× 24 596
Alina Garbuzov United States 7 192 0.9× 174 1.4× 56 0.7× 42 0.6× 101 1.7× 7 593
Hans-Jörg Warnatz Germany 12 529 2.5× 101 0.8× 39 0.5× 74 1.0× 82 1.4× 15 766
Yue Song China 13 311 1.5× 63 0.5× 18 0.2× 43 0.6× 89 1.5× 51 622
Steffen Müller Germany 14 295 1.4× 160 1.3× 64 0.8× 44 0.6× 143 2.5× 23 679
Michael Zheng United States 6 572 2.7× 79 0.6× 41 0.5× 31 0.4× 88 1.5× 9 761

Countries citing papers authored by Arpita Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Arpita Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arpita Kulkarni

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

All Works

17 of 17 papers shown
1.
Kulkarni, Arpita, et al.. (2025). Multistep genomics on single cells and live cultures in subnanoliter capsules. Science. 391(6790). 1130–1137. 2 indexed citations
2.
Freag, May S., et al.. (2024). Modulating tumoral exosomes and fibroblast phenotype using nanoliposomes augments cancer immunotherapy. Science Advances. 10(9). eadk3074–eadk3074. 19 indexed citations
3.
Kulkarni, Arpita, Ben Ewen‐Campen, Y. Matsumoto, et al.. (2023). oskar acts with the transcription factor Creb to regulate long-term memory in crickets. Proceedings of the National Academy of Sciences. 120(21). e2218506120–e2218506120. 5 indexed citations
4.
Saha, Tanmoy, Chinmayee Dash, Sachin Khiste, et al.. (2021). Intercellular nanotubes mediate mitochondrial trafficking between cancer and immune cells. Nature Nanotechnology. 17(1). 98–106. 236 indexed citations breakdown →
5.
Whittle, Carrie A., Arpita Kulkarni, & Cassandra G. Extavour. (2021). Evolutionary dynamics of sex‐biased genes expressed in cricket brains and gonads. Journal of Evolutionary Biology. 34(8). 1188–1211. 13 indexed citations
6.
Whittle, Carrie A., et al.. (2021). Adaptation of codon and amino acid use for translational functions in highly expressed cricket genes. BMC Genomics. 22(1). 234–234. 10 indexed citations
7.
Saha, Tanmoy, Chunxiao Cui, Arpita Kulkarni, et al.. (2021). Boosting Natural Killer Cell Therapies in Glioblastoma Multiforme Using Supramolecular Cationic Inhibitors of Heat Shock Protein 90. Frontiers in Molecular Biosciences. 8. 754443–754443. 9 indexed citations
8.
Whittle, Carrie A., Arpita Kulkarni, & Cassandra G. Extavour. (2020). Absence of a Faster-X Effect in Beetles ( Tribolium , Coleoptera). G3 Genes Genomes Genetics. 10(3). 1125–1136. 17 indexed citations
9.
Kulkarni, Arpita, et al.. (2020). Shared Cell Biological Functions May Underlie Pleiotropy of Molecular Interactions in the Germ Lines and Nervous Systems of Animals. Frontiers in Ecology and Evolution. 8. 5 indexed citations
10.
Whittle, Carrie A., Arpita Kulkarni, & Cassandra G. Extavour. (2019). Evidence of multifaceted functions of codon usage in translation within the model beetle Tribolium castaneum. DNA Research. 26(6). 473–484. 3 indexed citations
11.
Kulkarni, Arpita & Cassandra G. Extavour. (2019). The Cricket Gryllus bimaculatus: Techniques for Quantitative and Functional Genetic Analyses of Cricket Biology. Results and problems in cell differentiation. 68. 183–216. 14 indexed citations
12.
Kulkarni, Arpita, et al.. (2019). A Research For Tracking Overspeeding Vehicles. International Journal of Recent Technology and Engineering (IJRTE). 8(2). 5026–5028. 1 indexed citations
13.
Kulkarni, Arpita & Cassandra G. Extavour. (2017). Convergent evolution of germ granule nucleators: A hypothesis. Stem Cell Research. 24. 188–194. 19 indexed citations
14.
Kulkarni, Arpita, James W. Lightfoot, & Adrian Streit. (2015). Germline organization in Strongyloides nematodes reveals alternative differentiation and regulation mechanisms. Chromosoma. 125(4). 725–745. 7 indexed citations
15.
Kulkarni, Arpita, et al.. (2015). Differential chromatin amplification and chromosome complements in the germline of Strongyloididae (Nematoda). Chromosoma. 125(1). 125–136. 8 indexed citations
16.
Kulkarni, Arpita, et al.. (2013). Parastrongyloides trichosurisuggests that XX/XO sex determination is ancestral in Strongyloididae (Nematoda). Parasitology. 140(14). 1822–1830. 15 indexed citations
17.
Rao, Venigalla B., Arpita Kulkarni, Yang Yang, et al.. (2011). Herpes Simplex Virus 1 Glycoprotein B and US3 Collaborate To Inhibit CD1d Antigen Presentation and NKT Cell Function. Journal of Virology. 85(16). 8093–8104. 66 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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