Jaya Krishnan

820 total citations
21 papers, 448 citations indexed

About

Jaya Krishnan is a scholar working on Paleontology, Nature and Landscape Conservation and Molecular Biology. According to data from OpenAlex, Jaya Krishnan has authored 21 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Paleontology, 8 papers in Nature and Landscape Conservation and 7 papers in Molecular Biology. Recurrent topics in Jaya Krishnan's work include Subterranean biodiversity and taxonomy (9 papers), Turtle Biology and Conservation (5 papers) and Venomous Animal Envenomation and Studies (5 papers). Jaya Krishnan is often cited by papers focused on Subterranean biodiversity and taxonomy (9 papers), Turtle Biology and Conservation (5 papers) and Venomous Animal Envenomation and Studies (5 papers). Jaya Krishnan collaborates with scholars based in United States, India and Germany. Jaya Krishnan's co-authors include Nicolas Rohner, Robert Peuß, Rakesh K. Mishra, Shaolei Xiong, Alexander Kenzior, Jenna L. Persons, Luke Olsen, Ernesto Maldonado, Narendra Pratap Singh and Shiyuan Chen and has published in prestigious journals such as Nature Communications, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Jaya Krishnan

20 papers receiving 445 citations

Peers

Jaya Krishnan

PALEO

GPC

NLC

ECOLO

Ariel C. Aspiras United States

Helena Bilandžija Croatia

Misty R. Riddle United States

Courtney N. Passow United States

Leslie S. Babonis United States

Brian M. Carlson United States

Thorhildur Juliusdottir United Kingdom

Allen G. Strickler United States

Alexander Kenzior United States

Cyril Gallut France

Ariel C. Aspiras United States

Jaya Krishnan

228 ×1.2

PALEO

161 ×1.1

161 ×1.2

GPC

120 ×1.0

NLC

116 ×1.3

ECOLO

Citations per year, relative to Jaya Krishnan Jaya Krishnan (= 1×) peers Ariel C. Aspiras

Countries citing papers authored by Jaya Krishnan

Since Specialization

Citations

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

Fields of papers citing papers by Jaya Krishnan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jaya Krishnan

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

Krishnan, Jaya, Milton A. English, Frans P.M. Cremers, et al.. (2025). Non-coding single-nucleotide and structural variants affecting the EYS putative promoter cause autosomal recessive retinitis pigmentosa. Genetics in Medicine. 27(7). 101427–101427.

Olsen, Luke, et al.. (2023). Circadian rhythm disruption linked to skeletal muscle dysfunction in the Mexican Cavefish. Current Biology. 33(7). R255–R256. 3 indexed citations

Rajendran, Naresh Kumar, Fengyan Deng, Yan Wang, et al.. (2023). Establishment, Long‐Term Maintenance, and Characterization of Primary Liver Cells from Astyanax mexicanus. Current Protocols. 3(4). e736–e736. 3 indexed citations

Krishnan, Jaya, Yan Wang, Luke Olsen, et al.. (2022). Liver-derived cell lines from cavefish Astyanax mexicanus as an in vitro model for studying metabolic adaptation. Scientific Reports. 12(1). 10115–10115. 9 indexed citations

Xiong, Shaolei, Wei Wang, Alexander Kenzior, et al.. (2022). Enhanced lipogenesis through Pparγ helps cavefish adapt to food scarcity. Current Biology. 32(10). 2272–2280.e6. 29 indexed citations

Medley, Kyle, Jenna L. Persons, Luke Olsen, et al.. (2022). The metabolome of Mexican cavefish shows a convergent signature highlighting sugar, antioxidant, and Ageing-Related metabolites. eLife. 11. 19 indexed citations

Krishnan, Jaya, Chris Seidel, Ning Zhang, et al.. (2022). Genome-wide analysis of cis-regulatory changes underlying metabolic adaptation of cavefish. Nature Genetics. 54(5). 684–693. 20 indexed citations

Krishnan, Jaya, et al.. (2022). A Review of Video Stabilization Algorithms. 643–648. 1 indexed citations

Krishnan, Jaya, Jenna L. Persons, Robert Peuß, et al.. (2020). Comparative transcriptome analysis of wild and lab populations of Astyanax mexicanus uncovers differential effects of environment and morphotype on gene expression. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 334(7-8). 530–539. 22 indexed citations

10.

Peuß, Robert, Andrew Box, Shiyuan Chen, et al.. (2020). Adaptation to low parasite abundance affects immune investment and immunopathological responses of cavefish. Nature Ecology & Evolution. 4(10). 1416–1430. 45 indexed citations

11.

Echeverri, Alejandra, Daniel S. Karp, Luke O. Frishkoff, et al.. (2020). Avian cultural services peak in tropical wet forests. Conservation Letters. 14(2). 22 indexed citations

12.

Stahl, Bethany A., Robert Peuß, Alexander Kenzior, et al.. (2019). Stable transgenesis in Astyanax mexicanus using the Tol2 transposase system. Developmental Dynamics. 248(8). 679–687. 28 indexed citations

13.

Peuß, Robert, et al.. (2019). Gamete Collection and In Vitro Fertilization of <em>Astyanax mexicanus</em>. Journal of Visualized Experiments. 7 indexed citations

14.

Karp, Daniel S., Alejandra Echeverri, Jim Zook, et al.. (2019). Remnant forest in Costa Rican working landscapes fosters bird communities that are indistinguishable from protected areas. Journal of Applied Ecology. 56(7). 1839–1849. 14 indexed citations

15.

Xiong, Shaolei, Jaya Krishnan, Robert Peuß, & Nicolas Rohner. (2018). Early adipogenesis contributes to excess fat accumulation in cave populations of Astyanax mexicanus. Developmental Biology. 441(2). 297–304. 49 indexed citations

16.

Krishnan, Jaya, et al.. (2017). Simple sequence repeats showing ‘length preference’ have regulatory functions in humans. Gene. 628. 156–161. 5 indexed citations

17.

Krishnan, Jaya & Nicolas Rohner. (2016). Cavefish and the basis for eye loss. Philosophical Transactions of the Royal Society B Biological Sciences. 372(1713). 20150487–20150487. 80 indexed citations

18.

Krishnan, Jaya. (2015). Code in Non-coding. SHILAP Revista de lepidopterología. 81(3). 1 indexed citations

19.

Kumar, Ram, Jaya Krishnan, Narendra Pratap Singh, Lalji Singh, & Rakesh K. Mishra. (2013). GATA simple sequence repeats function as enhancer blocker boundaries. Nature Communications. 4(1). 1844–1844. 20 indexed citations

20.

Krishnan, Jaya & Rakesh K. Mishra. (2013). Emerging trends of long non‐coding RNAs in gene activation. FEBS Journal. 281(1). 34–45. 35 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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