Mayukh Mondal

1.2k total citations
26 papers, 510 citations indexed

About

Mayukh Mondal is a scholar working on Genetics, Archeology and Molecular Biology. According to data from OpenAlex, Mayukh Mondal has authored 26 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Genetics, 6 papers in Archeology and 4 papers in Molecular Biology. Recurrent topics in Mayukh Mondal's work include Forensic and Genetic Research (19 papers), Genetic diversity and population structure (9 papers) and Forensic Anthropology and Bioarchaeology Studies (6 papers). Mayukh Mondal is often cited by papers focused on Forensic and Genetic Research (19 papers), Genetic diversity and population structure (9 papers) and Forensic Anthropology and Bioarchaeology Studies (6 papers). Mayukh Mondal collaborates with scholars based in Estonia, Italy and Spain. Mayukh Mondal's co-authors include Jaume Bertranpetit, Óscar Lao, Mait Metspalu, Luca Pagani, François‐Xavier Ricaut, Hafid Laayouni, Ferrán Casals, Murray P. Cox, Lauri Saag and Daniel J. Lawson and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Mayukh Mondal

25 papers receiving 501 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayukh Mondal Estonia 12 332 146 113 99 63 26 510
Nicolas Brucato France 15 427 1.3× 173 1.2× 107 0.9× 152 1.5× 101 1.6× 34 696
Ricardo Kanitz Switzerland 8 256 0.8× 92 0.6× 64 0.6× 109 1.1× 76 1.2× 14 416
Pradiptajati Kusuma Indonesia 11 171 0.5× 86 0.6× 124 1.1× 95 1.0× 43 0.7× 17 361
Graciela S. Cabana United States 11 197 0.6× 99 0.7× 85 0.8× 43 0.4× 77 1.2× 23 332
Mário Vicente Sweden 11 311 0.9× 184 1.3× 169 1.5× 93 0.9× 115 1.8× 19 579
Melinda A. Yang United States 9 319 1.0× 223 1.5× 185 1.6× 69 0.7× 131 2.1× 15 485
Darío Alfredo Demarchi Argentina 17 502 1.5× 231 1.6× 132 1.2× 121 1.2× 108 1.7× 67 743
David Reich United States 4 255 0.8× 130 0.9× 125 1.1× 85 0.9× 76 1.2× 6 407
Jerome S. Cybulski Canada 13 353 1.1× 220 1.5× 154 1.4× 101 1.0× 202 3.2× 21 626
Matthew J. Jobin United States 6 222 0.7× 71 0.5× 70 0.6× 77 0.8× 44 0.7× 6 367

Countries citing papers authored by Mayukh Mondal

Since Specialization
Citations

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

Fields of papers citing papers by Mayukh Mondal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayukh Mondal

This figure shows the co-authorship network connecting the top 25 collaborators of Mayukh Mondal. A scholar is included among the top collaborators of Mayukh Mondal 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 Mayukh Mondal. Mayukh Mondal 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.
Mondal, Mayukh, Ajai Kumar Pathak, Nicolas Brucato, et al.. (2025). Resolving out of Africa event for Papua New Guinean population using neural network. Nature Communications. 16(1). 6345–6345. 1 indexed citations
2.
Acosta, Sandra, Mayukh Mondal, Sandra Walsh, et al.. (2024). Exploring Adaptive Phenotypes for the Human Calcium-Sensing Receptor Polymorphism R990G. Molecular Biology and Evolution. 41(2). 3 indexed citations
3.
Brucato, Nicolas, Danat Yermakovich, Francesco Montinaro, et al.. (2024). Positive selection in the genomes of two Papua New Guinean populations at distinct altitude levels. Nature Communications. 15(1). 3352–3352. 14 indexed citations
4.
Yermakovich, Danat, Nicolas Brucato, Matthew Leavesley, et al.. (2024). Denisovan admixture facilitated environmental adaptation in Papua New Guinean populations. Proceedings of the National Academy of Sciences. 121(26). e2405889121–e2405889121. 3 indexed citations
5.
Brucato, Nicolas, Georgi Hudjashov, Mayukh Mondal, et al.. (2022). Chronology of natural selection in Oceanian genomes. iScience. 25(7). 104583–104583. 5 indexed citations
6.
Marnetto, Davide, Mayukh Mondal, Francesco Montinaro, et al.. (2022). Ancestral genomic contributions to complex traits in contemporary Europeans. Current Biology. 32(6). 1412–1419.e3. 6 indexed citations
7.
Ongaro, Linda, Mayukh Mondal, Rodrigo Flores, et al.. (2021). Continental-scale genomic analysis suggests shared post-admixture adaptation in the Americas. Human Molecular Genetics. 30(22). 2123–2134. 7 indexed citations
8.
IlumäE, Anne-Mai, Helen Post, Rodrigo Flores, et al.. (2021). Phylogenetic history of patrilineages rare in northern and eastern Europe from large-scale re-sequencing of human Y-chromosomes. European Journal of Human Genetics. 29(10). 1510–1519. 2 indexed citations
9.
Montinaro, Francesco, et al.. (2021). Revisiting the out of Africa event with a deep-learning approach. The American Journal of Human Genetics. 108(11). 2037–2051. 6 indexed citations
10.
Brucato, Nicolas, et al.. (2021). Phenotypic differences between highlanders and lowlanders in Papua New Guinea. PLoS ONE. 16(7). e0253921–e0253921. 7 indexed citations
11.
Horst, Rob ter, Hafid Laayouni, Mayukh Mondal, et al.. (2020). The shaping of immunological responses through natural selection after the Roma Diaspora. Scientific Reports. 10(1). 16134–16134. 2 indexed citations
12.
Mondal, Mayukh, et al.. (2020). A fully integrated machine learning scan of selection in the chimpanzee genome. NAR Genomics and Bioinformatics. 2(3). lqaa061–lqaa061.
13.
Mondal, Mayukh, et al.. (2019). Patterns of genetic structure and adaptive positive selection in the Lithuanian population from high-density SNP data. Scientific Reports. 9(1). 9163–9163. 13 indexed citations
14.
Mondal, Mayukh, Jaume Bertranpetit, & Óscar Lao. (2019). Approximate Bayesian computation with deep learning supports a third archaic introgression in Asia and Oceania. Nature Communications. 10(1). 246–246. 65 indexed citations
15.
Post, Helen, Rodrigo Flores, Gábor J. Székely, et al.. (2019). Y-chromosomal connection between Hungarians and geographically distant populations of the Ural Mountain region and West Siberia. Scientific Reports. 9(1). 7786–7786. 11 indexed citations
16.
Hudjashov, Georgi, Lauri Saag, Pradiptajati Kusuma, et al.. (2019). Multiple Deeply Divergent Denisovan Ancestries in Papuans. Cell. 177(4). 1010–1021.e32. 142 indexed citations
17.
Mondal, Mayukh, Davide Marnetto, Ajai Kumar Pathak, et al.. (2019). Ancestry-Specific Analyses Reveal Differential Demographic Histories and Opposite Selective Pressures in Modern South Asian Populations. Molecular Biology and Evolution. 36(8). 1628–1642. 16 indexed citations
18.
Metspalu, Mait, Mayukh Mondal, & Gyaneshwer Chaubey. (2018). The genetic makings of South Asia. Current Opinion in Genetics & Development. 53. 128–133. 12 indexed citations
19.
Pathak, Ajai Kumar, Alena Kushniarevich, Francesco Montinaro, et al.. (2018). The Genetic Ancestry of Modern Indus Valley Populations from Northwest India. The American Journal of Human Genetics. 103(6). 918–929. 34 indexed citations
20.
Mondal, Mayukh, Ferrán Casals, Tina Xu, et al.. (2016). Genomic analysis of Andamanese provides insights into ancient human migration into Asia and adaptation. Nature Genetics. 48(9). 1066–1070. 86 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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