Mukta Chakraborty

525 total citations
10 papers, 346 citations indexed

About

Mukta Chakraborty is a scholar working on Developmental Biology, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Mukta Chakraborty has authored 10 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Developmental Biology, 7 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Ecology. Recurrent topics in Mukta Chakraborty's work include Animal Vocal Communication and Behavior (8 papers), Animal Behavior and Reproduction (7 papers) and Marine animal studies overview (3 papers). Mukta Chakraborty is often cited by papers focused on Animal Vocal Communication and Behavior (8 papers), Animal Behavior and Reproduction (7 papers) and Marine animal studies overview (3 papers). Mukta Chakraborty collaborates with scholars based in United States, Denmark and Canada. Mukta Chakraborty's co-authors include Erich D. Jarvis, Sabrina S. Burmeister, Lisa A. Mangiamele, Chun‐Chun Chen, Erina Hara, Petra L. Roulhac, Miriam Rivas, Jason T. Howard, Jean‐Nicolas Audet and Emma E. Fridel and has published in prestigious journals such as PLoS ONE, The Journal of Comparative Neurology and Scientific Reports.

In The Last Decade

Mukta Chakraborty

10 papers receiving 335 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mukta Chakraborty United States 8 190 172 83 74 51 10 346
Martin Kocourek Czechia 4 189 1.0× 104 0.6× 186 2.2× 87 1.2× 73 1.4× 8 457
Michal Porteš Czechia 3 148 0.8× 88 0.5× 134 1.6× 68 0.9× 56 1.1× 4 346
Maria C. Tello-Ramos United Kingdom 8 240 1.3× 80 0.5× 139 1.7× 87 1.2× 43 0.8× 15 348
Lisa A. Mangiamele United States 12 205 1.1× 118 0.7× 74 0.9× 131 1.8× 19 0.4× 24 411
Nina Stobbe Austria 7 278 1.5× 52 0.3× 67 0.8× 60 0.8× 47 0.9× 9 390
R. Rado Israel 9 268 1.4× 121 0.7× 71 0.9× 190 2.6× 63 1.2× 10 450
Marcel Gyger Switzerland 11 273 1.4× 267 1.6× 171 2.1× 93 1.3× 80 1.6× 23 544
Austin T. Hilliard United States 10 180 0.9× 110 0.6× 56 0.7× 96 1.3× 26 0.5× 17 360
Madeleine F. Scriba Switzerland 9 141 0.7× 52 0.3× 77 0.9× 80 1.1× 121 2.4× 16 357
Michaela Hau Germany 9 352 1.9× 99 0.6× 103 1.2× 181 2.4× 12 0.2× 12 473

Countries citing papers authored by Mukta Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Mukta Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukta Chakraborty

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

All Works

10 of 10 papers shown
1.
Schuppe, Eric R., Lindsey Cantin, Mukta Chakraborty, et al.. (2022). Forebrain nuclei linked to woodpecker territorial drum displays mirror those that enable vocal learning in songbirds. PLoS Biology. 20(9). e3001751–e3001751. 6 indexed citations
2.
Chakraborty, Mukta, Liangfu Chen, Emma E. Fridel, et al.. (2017). Overexpression of human NR2B receptor subunit in LMAN causes stuttering and song sequence changes in adult zebra finches. Scientific Reports. 7(1). 942–942. 13 indexed citations
3.
Chakraborty, Mukta, Signe Nedergaard, Emma E. Fridel, et al.. (2015). Core and Shell Song Systems Unique to the Parrot Brain. PLoS ONE. 10(6). e0118496–e0118496. 46 indexed citations
4.
Chakraborty, Mukta & Erich D. Jarvis. (2015). Brain evolution by brain pathway duplication. Philosophical Transactions of the Royal Society B Biological Sciences. 370(1684). 20150056–20150056. 98 indexed citations
5.
Chakraborty, Mukta & Sabrina S. Burmeister. (2015). Effects of estradiol on neural responses to social signals in female túngara frogs. Journal of Experimental Biology. 218(Pt 22). 3671–7. 23 indexed citations
6.
Wang, Rui, Chun‐Chun Chen, Erina Hara, et al.. (2014). Convergent differential regulation of SLIT‐ROBO axon guidance genes in the brains of vocal learners. The Journal of Comparative Neurology. 523(6). 892–906. 58 indexed citations
7.
Chakraborty, Mukta & Sabrina S. Burmeister. (2010). Sexually dimorphic androgen and estrogen receptor mRNA expression in the brain of túngara frogs. Hormones and Behavior. 58(4). 619–627. 25 indexed citations
8.
Chakraborty, Mukta, Lisa A. Mangiamele, & Sabrina S. Burmeister. (2010). Neural Activity Patterns in Response to Interspecific and Intraspecific Variation in Mating Calls in the Túngara Frog. PLoS ONE. 5(9). e12898–e12898. 25 indexed citations
9.
Chakraborty, Mukta & Sabrina S. Burmeister. (2008). Estradiol induces sexual behavior in female túngara frogs. Hormones and Behavior. 55(1). 106–112. 46 indexed citations
10.
Bambawale, O. M., et al.. (1995). Efficacy of some medicinal plants against cotton pathogens.. Advances in plant sciences. 8(2). 224–229. 6 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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