Eric K. Bhattarai

560 total citations
10 papers, 244 citations indexed

About

Eric K. Bhattarai is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Eric K. Bhattarai has authored 10 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Genetics and 2 papers in Ecology. Recurrent topics in Eric K. Bhattarai's work include Genetic diversity and population structure (5 papers), Genetic and phenotypic traits in livestock (3 papers) and Genomics and Phylogenetic Studies (3 papers). Eric K. Bhattarai is often cited by papers focused on Genetic diversity and population structure (5 papers), Genetic and phenotypic traits in livestock (3 papers) and Genomics and Phylogenetic Studies (3 papers). Eric K. Bhattarai collaborates with scholars based in United States and Saint Kitts and Nevis. Eric K. Bhattarai's co-authors include Christopher M. Seabury, Jin Yuan, Scot E. Dowd, Paul Seabury, Jeremy F. Taylor, Michael R. Thon, Ralph A. Dean, Daniel J. Ebbole, Huaqin Pan and Terry L. Thomas and has published in prestigious journals such as PLoS ONE, Molecular Plant-Microbe Interactions and Fungal Genetics and Biology.

In The Last Decade

Eric K. Bhattarai

10 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric K. Bhattarai United States 7 137 80 76 33 29 10 244
Sina Atashpaz Iran 9 148 1.1× 72 0.9× 84 1.1× 20 0.6× 25 0.9× 12 340
Maud Bertaud France 12 138 1.0× 240 3.0× 59 0.8× 28 0.8× 20 0.7× 20 366
Florence Plisson‐Petit France 11 101 0.7× 259 3.2× 63 0.8× 32 1.0× 33 1.1× 19 399
Y. H. Wang Australia 10 168 1.2× 168 2.1× 45 0.6× 47 1.4× 18 0.6× 11 376
Brittney N. Keel United States 13 142 1.0× 268 3.4× 80 1.1× 73 2.2× 32 1.1× 46 471
Jiamin Miao China 11 93 0.7× 26 0.3× 183 2.4× 32 1.0× 11 0.4× 13 271
Ashlee R. Lund United States 6 51 0.4× 120 1.5× 39 0.5× 25 0.8× 58 2.0× 11 277
Jean François Dufayard France 9 173 1.3× 52 0.7× 210 2.8× 10 0.3× 20 0.7× 12 338
Fabrício Barbosa Monteiro Arraes Brazil 14 325 2.4× 66 0.8× 445 5.9× 14 0.4× 16 0.6× 31 637
Claire Kuchly France 8 241 1.8× 65 0.8× 91 1.2× 5 0.2× 35 1.2× 13 368

Countries citing papers authored by Eric K. Bhattarai

Since Specialization
Citations

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

Fields of papers citing papers by Eric K. Bhattarai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric K. Bhattarai. 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 Eric K. Bhattarai. The network helps show where Eric K. Bhattarai may publish in the future.

Co-authorship network of co-authors of Eric K. Bhattarai

This figure shows the co-authorship network connecting the top 25 collaborators of Eric K. Bhattarai. A scholar is included among the top collaborators of Eric K. Bhattarai 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 Eric K. Bhattarai. Eric K. Bhattarai 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.
Seabury, Christopher M., Johanna L. Smith, Eric K. Bhattarai, et al.. (2023). Genome-wide association and genomic prediction for a reproductive index summarizing fertility outcomes in U.S. Holsteins. G3 Genes Genomes Genetics. 13(9). 6 indexed citations
2.
Seabury, Christopher M., David Oldeschulte, Eric K. Bhattarai, et al.. (2020). Accurate Genomic Predictions for Chronic Wasting Disease in U.S. White-Tailed Deer. G3 Genes Genomes Genetics. 10(4). 1433–1441. 15 indexed citations
4.
Oldeschulte, David, Eric K. Bhattarai, Joshua A. Hill, et al.. (2015). Northern Bobwhite (Colinus virginianus) Mitochondrial Population Genomics Reveals Structure, Divergence, and Evidence for Heteroplasmy. PLoS ONE. 10(12). e0144913–e0144913. 3 indexed citations
5.
6.
Fisher, Colleen A., Eric K. Bhattarai, Jason B. Osterstock, et al.. (2011). Evolution of the Bovine TLR Gene Family and Member Associations with Mycobacterium avium Subspecies Paratuberculosis Infection. PLoS ONE. 6(11). e27744–e27744. 47 indexed citations
7.
Seabury, Christopher M., Eric K. Bhattarai, Jeremy F. Taylor, et al.. (2011). Genome-Wide Polymorphism and Comparative Analyses in the White-Tailed Deer (Odocoileus virginianus): A Model for Conservation Genomics. PLoS ONE. 6(1). e15811–e15811. 36 indexed citations
8.
Seabury, Christopher M., Eric K. Bhattarai, Jeremy F. Taylor, et al.. (2011). Correction: Genome-Wide Polymorphism and Comparative Analyses in the White-Tailed Deer (Odocoileus virginianus): A Model for Conservation Genomics. PLoS ONE. 6(2). 6 indexed citations
9.
Yuan, Jin, et al.. (2006). Rapid genetic mapping in Neurospora crassa. Fungal Genetics and Biology. 44(6). 455–465. 15 indexed citations
10.
Ebbole, Daniel J., Jin Yuan, Michael R. Thon, et al.. (2004). Gene Discovery and Gene Expression in the Rice Blast Fungus, Magnaporthe grisea: Analysis of Expressed Sequence Tags. Molecular Plant-Microbe Interactions. 17(12). 1337–1347. 71 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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