Kamalakar Chatla

560 total citations
20 papers, 245 citations indexed

About

Kamalakar Chatla is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Kamalakar Chatla has authored 20 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Genetics and 7 papers in Plant Science. Recurrent topics in Kamalakar Chatla's work include Chromosomal and Genetic Variations (7 papers), Genomics and Phylogenetic Studies (6 papers) and Genetic diversity and population structure (5 papers). Kamalakar Chatla is often cited by papers focused on Chromosomal and Genetic Variations (7 papers), Genomics and Phylogenetic Studies (6 papers) and Genetic diversity and population structure (5 papers). Kamalakar Chatla collaborates with scholars based in United States, Canada and Chile. Kamalakar Chatla's co-authors include Doris Bachtrog, Ryan Bracewell, Matthew J. Nalley, Kevin H.-C. Wei, Juliana A. Vianna, Patricia S. Gaunt, Gregory L. Owens, Milton S. Love, Katherine P. Maslenikov and Michael J. Sandel and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Analytical Chemistry.

In The Last Decade

Kamalakar Chatla

20 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kamalakar Chatla United States 9 128 94 90 32 23 20 245
Vivien Horváth Hungary 9 232 1.8× 61 0.6× 254 2.8× 18 0.6× 20 0.9× 13 355
Lucie A. Bergeron Denmark 5 118 0.9× 166 1.8× 36 0.4× 30 0.9× 21 0.9× 6 240
Souichirou Kubota Japan 10 234 1.8× 158 1.7× 206 2.3× 34 1.1× 18 0.8× 23 336
Björn E. Langer Germany 6 161 1.3× 92 1.0× 49 0.5× 42 1.3× 48 2.1× 7 269
Elodie Prince France 7 125 1.0× 40 0.4× 55 0.6× 29 0.9× 32 1.4× 14 250
Caroline M. Weisman United States 7 293 2.3× 156 1.7× 220 2.4× 39 1.2× 54 2.3× 8 456
Alsu Saifitdinova Russia 14 318 2.5× 288 3.1× 276 3.1× 38 1.2× 102 4.4× 45 590
Panyi Li Denmark 3 96 0.8× 148 1.6× 30 0.3× 25 0.8× 36 1.6× 3 210
Erwann Caillieux France 7 382 3.0× 140 1.5× 537 6.0× 17 0.5× 32 1.4× 9 679
Rachel Massicotte Canada 4 188 1.5× 138 1.5× 140 1.6× 80 2.5× 63 2.7× 4 409

Countries citing papers authored by Kamalakar Chatla

Since Specialization
Citations

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

Fields of papers citing papers by Kamalakar Chatla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamalakar Chatla

This figure shows the co-authorship network connecting the top 25 collaborators of Kamalakar Chatla. A scholar is included among the top collaborators of Kamalakar Chatla 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 Kamalakar Chatla. Kamalakar Chatla 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.
Chang, Ching-Ho, Kamalakar Chatla, Robert L. Unckless, et al.. (2025). Diversification and recurrent adaptation of the synaptonemal complex in Drosophila. PLoS Genetics. 21(1). e1011549–e1011549. 2 indexed citations
2.
Camperi, Julien, et al.. (2025). Current Analytical Strategies for mRNA-Based Therapeutics. Molecules. 30(7). 1629–1629. 5 indexed citations
3.
Camperi, Julien, Brian A. Roper, Emily Freund, et al.. (2024). Exploring the Impact of In Vitro-Transcribed mRNA Impurities on Cellular Responses. Analytical Chemistry. 96(44). 17789–17799. 8 indexed citations
4.
Wei, Kevin H.-C., Kamalakar Chatla, & Doris Bachtrog. (2024). Single-cell RNA-seq of Drosophila miranda testis reveals the evolution and trajectory of germline sex chromosome regulation. PLoS Biology. 22(4). e3002605–e3002605. 8 indexed citations
5.
Bracewell, Ryan, et al.. (2024). Sex and neo-sex chromosome evolution in beetles. PLoS Genetics. 20(11). e1011477–e1011477. 7 indexed citations
6.
Dahlhoff, Elizabeth P., Ryan Bracewell, Kamalakar Chatla, et al.. (2023). Multi-locus genomic signatures of local adaptation to snow across the landscape in California populations of a willow leaf beetle. Proceedings of the Royal Society B Biological Sciences. 290(2005). 20230630–20230630. 2 indexed citations
7.
Karin, Benjamin R., Laura Wang, Aaron Pomerantz, et al.. (2023). Highly-multiplexed and efficient long-amplicon PacBio and Nanopore sequencing of hundreds of full mitochondrial genomes. BMC Genomics. 24(1). 229–229. 8 indexed citations
8.
Bracewell, Ryan, Jonathon H. Stillman, Elizabeth P. Dahlhoff, et al.. (2023). A chromosome-scale genome assembly and evaluation of mtDNA variation in the willow leaf beetle Chrysomela aeneicollis. G3 Genes Genomes Genetics. 13(7). 3 indexed citations
9.
Chatla, Kamalakar, et al.. (2023). Chromosome-level reference genomes of two imperiled desert fishes: spikedace (Meda fulgida) and loach minnow (Tiaroga cobitis). G3 Genes Genomes Genetics. 13(10). 3 indexed citations
10.
Wei, Kevin H.-C., Dat Mai, Kamalakar Chatla, & Doris Bachtrog. (2022). Dynamics and Impacts of Transposable Element Proliferation in the Drosophila nasuta Species Group Radiation. Molecular Biology and Evolution. 39(5). 11 indexed citations
11.
Wang, Silu, Matthew J. Nalley, Kamalakar Chatla, et al.. (2022). Neo-sex chromosome evolution shapes sex-dependent asymmetrical introgression barrier. Proceedings of the National Academy of Sciences. 119(19). e2119382119–e2119382119. 15 indexed citations
12.
Nguyen, Alison H., et al.. (2022). Transposable element accumulation drives size differences among polymorphic Y Chromosomes in Drosophila. Genome Research. 32(6). 1074–1088. 9 indexed citations
13.
Owens, Gregory L., Juan Manuel Vázquez, Alexander L. Stubbs, et al.. (2021). Origins and evolution of extreme life span in Pacific Ocean rockfishes. Science. 374(6569). 842–847. 71 indexed citations
14.
Chatla, Kamalakar, et al.. (2021). A Reference Genome Assembly of Hybrid-Derived California Wild Radish (Raphanus sativus × raphanistrum). Journal of Heredity. 113(2). 197–204. 1 indexed citations
15.
Bracewell, Ryan, et al.. (2020). Chromosome-Level Assembly of Drosophila bifasciata Reveals Important Karyotypic Transition of the X Chromosome. G3 Genes Genomes Genetics. 10(3). 891–897. 7 indexed citations
16.
Bracewell, Ryan, Kamalakar Chatla, Matthew J. Nalley, & Doris Bachtrog. (2019). Dynamic turnover of centromeres drives karyotype evolution in Drosophila. eLife. 8. 59 indexed citations
17.
Chatla, Kamalakar, et al.. (2016). Zebrafish Sensitivity to Botulinum Neurotoxins. Toxins. 8(5). 132–132. 11 indexed citations
18.
Chatla, Kamalakar, et al.. (2014). Zebrafish (Danio rerio) bioassay for visceral toxicosis of catfish and botulinum neurotoxin serotype E. Journal of Veterinary Diagnostic Investigation. 26(2). 240–245. 6 indexed citations
19.
20.
Chatla, Kamalakar, et al.. (2012). Determination of the Median Lethal Dose of Botulinum Serotype E in Channel Catfish Fingerlings. Journal of Aquatic Animal Health. 24(2). 105–109. 8 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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