Vikram E. Chhatre

754 total citations
18 papers, 483 citations indexed

About

Vikram E. Chhatre is a scholar working on Genetics, Nature and Landscape Conservation and Ecology. According to data from OpenAlex, Vikram E. Chhatre has authored 18 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 4 papers in Nature and Landscape Conservation and 4 papers in Ecology. Recurrent topics in Vikram E. Chhatre's work include Genetic diversity and population structure (8 papers), Genetic and phenotypic traits in livestock (5 papers) and Species Distribution and Climate Change (4 papers). Vikram E. Chhatre is often cited by papers focused on Genetic diversity and population structure (8 papers), Genetic and phenotypic traits in livestock (5 papers) and Species Distribution and Climate Change (4 papers). Vikram E. Chhatre collaborates with scholars based in United States, Canada and Slovakia. Vikram E. Chhatre's co-authors include Kevin J. Emerson, Stephen R. Keller, Matthew C. Fitzpatrick, Raju Soolanayakanahally, Stephen DiFazio, Luke M. Evans, Om P. Rajora, David B. Neale, Jill Wegrzyn and Konstantin V. Krutovsky and has published in prestigious journals such as PLoS ONE, The FASEB Journal and Molecular Ecology.

In The Last Decade

Vikram E. Chhatre

17 papers receiving 474 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikram E. Chhatre United States 11 283 119 108 108 106 18 483
Kristin A. Nurkowski Canada 9 322 1.1× 128 1.1× 119 1.1× 138 1.3× 156 1.5× 12 562
Jacqueline S. Lima Brazil 10 253 0.9× 127 1.1× 121 1.1× 79 0.7× 132 1.2× 14 504
Urs Kamm Switzerland 5 297 1.0× 128 1.1× 84 0.8× 130 1.2× 130 1.2× 6 484
Julie Godbout Canada 11 198 0.7× 172 1.4× 103 1.0× 102 0.9× 96 0.9× 17 446
Katharina B. Budde Germany 14 234 0.8× 138 1.2× 76 0.7× 168 1.6× 123 1.2× 34 520
Francesco Angeloni Netherlands 6 249 0.9× 88 0.7× 115 1.1× 153 1.4× 151 1.4× 6 478
F. Alice Cang United States 5 176 0.6× 136 1.1× 56 0.5× 128 1.2× 109 1.0× 6 424
Julien Prunier Canada 14 299 1.1× 132 1.1× 217 2.0× 107 1.0× 195 1.8× 32 628
Erika I. Hersch‐Green United States 14 139 0.5× 82 0.7× 78 0.7× 147 1.4× 180 1.7× 19 427
Alexis R. Sullivan United States 11 175 0.6× 113 0.9× 162 1.5× 57 0.5× 79 0.7× 15 394

Countries citing papers authored by Vikram E. Chhatre

Since Specialization
Citations

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

Fields of papers citing papers by Vikram E. Chhatre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vikram E. Chhatre. 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 Vikram E. Chhatre. The network helps show where Vikram E. Chhatre may publish in the future.

Co-authorship network of co-authors of Vikram E. Chhatre

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

All Works

18 of 18 papers shown
1.
Chhatre, Vikram E., et al.. (2021). Transcriptomic analysis of cardiac gene expression across the life course in male and female mice. Physiological Reports. 9(13). e14940–e14940. 9 indexed citations
2.
Chhatre, Vikram E., et al.. (2021). Cardiac response to adrenergic stress differs by sex and across the lifespan. GeroScience. 43(4). 1799–1813. 19 indexed citations
3.
Chhatre, Vikram E., et al.. (2021). Transcriptomic Analysis Of Cardiac Gene Expression Across The Life‐Course In Male And Female Mice. The FASEB Journal. 35(S1). 2 indexed citations
4.
Fitzpatrick, Matthew C., Vikram E. Chhatre, Raju Soolanayakanahally, & Stephen R. Keller. (2021). Experimental support for genomic prediction of climate maladaptation using the machine learning approach Gradient Forests. Molecular Ecology Resources. 21(8). 2749–2765. 88 indexed citations
5.
Gougherty, Andrew V., Vikram E. Chhatre, Stephen R. Keller, & Matthew C. Fitzpatrick. (2020). Contemporary range position predicts the range‐wide pattern of genetic diversity in balsam poplar (Populus balsamifera L.). Journal of Biogeography. 47(6). 1246–1257. 12 indexed citations
6.
Chhatre, Vikram E.. (2020). Some modest and practical advice for undergraduate researchers. Bulletin of the Ecological Society of America. 101(4).
7.
Fay, David S., et al.. (2020). CRISPRcruncher: A tool for engineering restriction sites into coding regions. PubMed. 2021. 7 indexed citations
8.
Chhatre, Vikram E., Luke M. Evans, Stephen DiFazio, & Stephen R. Keller. (2018). Adaptive introgression and maintenance of a trispecies hybrid complex in range‐edge populations of Populus. Molecular Ecology. 27(23). 4820–4838. 57 indexed citations
9.
Chhatre, Vikram E. & Kevin J. Emerson. (2017). StrAuto: automation and parallelization of STRUCTURE analysis. BMC Bioinformatics. 18(1). 192–192. 136 indexed citations
10.
Keller, Stephen R., Vikram E. Chhatre, & Matthew C. Fitzpatrick. (2017). Influence of Range Position on Locally Adaptive Gene–Environment Associations in Populus Flowering Time Genes. Journal of Heredity. 109(1). 47–58. 16 indexed citations
11.
Hilderbrand, Robert H., et al.. (2016). Hiding in Plain Sight: A Case for Cryptic Metapopulations in Brook Trout (Salvelinus fontinalis). PLoS ONE. 11(1). e0146295–e0146295. 13 indexed citations
12.
Westbrook, Jared W., Vikram E. Chhatre, Le‐Shin Wu, et al.. (2015). A Consensus Genetic Map for Pinus taeda and Pinus elliottii and Extent of Linkage Disequilibrium in Two Genotype-Phenotype Discovery Populations of Pinus taeda. G3 Genes Genomes Genetics. 5(8). 1685–1694. 34 indexed citations
13.
14.
Chhatre, Vikram E.. (2013). Population structure, association mapping of economic traits and landscape genomics of east Texas loblolly pine (Pinus taeda L.). OakTrust (Texas A&M University Libraries). 2 indexed citations
15.
Chhatre, Vikram E., T. D. Byram, David B. Neale, Jill Wegrzyn, & Konstantin V. Krutovsky. (2013). Genetic structure and association mapping of adaptive and selective traits in the east Texas loblolly pine (Pinus taeda L.) breeding populations. Tree Genetics & Genomes. 9(5). 1161–1178. 38 indexed citations
16.
Grogan, Kathleen E., Vikram E. Chhatre, & Patrick Abbot. (2009). The cost of conflict in aphid societies. Journal of Evolutionary Biology. 23(1). 185–193. 3 indexed citations
17.
Abbot, Patrick & Vikram E. Chhatre. (2007). Kin structure provides no explanation for intruders in social aphids. Molecular Ecology. 16(17). 3659–3670. 9 indexed citations
18.
Wang, Xiaoru, et al.. (2003). Island Population Structure of Norway Spruce (Picea abies) in Northern Sweden. International Journal of Plant Sciences. 164(5). 711–717. 12 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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