John A. Eimes

895 total citations
26 papers, 572 citations indexed

About

John A. Eimes is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Cell Biology. According to data from OpenAlex, John A. Eimes has authored 26 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, Evolution, Behavior and Systematics, 10 papers in Plant Science and 7 papers in Cell Biology. Recurrent topics in John A. Eimes's work include Mycorrhizal Fungi and Plant Interactions (10 papers), Animal Behavior and Reproduction (7 papers) and Plant Pathogens and Fungal Diseases (7 papers). John A. Eimes is often cited by papers focused on Mycorrhizal Fungi and Plant Interactions (10 papers), Animal Behavior and Reproduction (7 papers) and Plant Pathogens and Fungal Diseases (7 papers). John A. Eimes collaborates with scholars based in South Korea, United States and United Kingdom. John A. Eimes's co-authors include Young Woon Lim, Patricia G. Parker, Peter O. Dunn, Jennifer L. Bollmer, Linda A. Whittingham, Seung‐Yoon Oh, Myung Soo Park, Jeff Johnson, Jan A. Randall and Cock van Oosterhout and has published in prestigious journals such as PLoS ONE, Molecular Ecology and Journal of Evolutionary Biology.

In The Last Decade

John A. Eimes

26 papers receiving 556 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John A. Eimes South Korea 15 203 166 134 128 122 26 572
Daniël J. P. Engelmoer Netherlands 9 132 0.7× 261 1.6× 130 1.0× 117 0.9× 16 0.1× 11 665
Yuri S. Tokarev Russia 16 202 1.0× 199 1.2× 166 1.2× 122 1.0× 64 0.5× 86 861
Maxime Bonhomme France 20 128 0.6× 473 2.8× 380 2.8× 95 0.7× 164 1.3× 37 1.2k
Sandra V. Flechas Colombia 13 207 1.0× 55 0.3× 87 0.6× 92 0.7× 49 0.4× 20 760
Rita V. M. Rio United States 20 103 0.5× 139 0.8× 142 1.1× 91 0.7× 62 0.5× 37 1.2k
Jiaxin Qu United States 7 94 0.5× 313 1.9× 232 1.7× 131 1.0× 32 0.3× 9 1.1k
Tobias Engl Germany 15 235 1.2× 136 0.8× 324 2.4× 145 1.1× 29 0.2× 34 1.1k
Alda González Argentina 16 286 1.4× 138 0.8× 438 3.3× 89 0.7× 27 0.2× 79 843
Shigeki Inaba Japan 7 53 0.3× 127 0.8× 23 0.2× 41 0.3× 27 0.2× 10 347
Rebecca P. Duncan United States 14 136 0.7× 176 1.1× 269 2.0× 104 0.8× 27 0.2× 19 914

Countries citing papers authored by John A. Eimes

Since Specialization
Citations

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

Fields of papers citing papers by John A. Eimes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John A. Eimes. 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 John A. Eimes. The network helps show where John A. Eimes may publish in the future.

Co-authorship network of co-authors of John A. Eimes

This figure shows the co-authorship network connecting the top 25 collaborators of John A. Eimes. A scholar is included among the top collaborators of John A. Eimes 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 John A. Eimes. John A. Eimes 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.
Fu, Minjie, et al.. (2023). Identification of major histocompatibility complex genotypes associated with resistance to an amphibian emerging infectious disease. Infection Genetics and Evolution. 113. 105470–105470. 2 indexed citations
2.
Fu, Minjie, John A. Eimes, & Bruce Waldman. (2023). Divergent allele advantage in the MHC and amphibian emerging infectious disease. Infection Genetics and Evolution. 111. 105429–105429. 4 indexed citations
3.
Townsend, Andrea K., et al.. (2023). Increased genetic diversity and immigration after West Nile virus emergence in American crows: No evidence for a genetic bottleneck. Molecular Ecology. 32(15). 4199–4208. 1 indexed citations
4.
Lee, Hyun, et al.. (2019). Taxonomic revision of the genus Lactarius (Russulales, Basidiomycota) in Korea. Fungal Diversity. 95(1). 275–335. 19 indexed citations
5.
Park, Myung Soo, John A. Eimes, S. H. Oh, et al.. (2018). Diversity of fungi associated with roots of Calanthe orchid species in Korea. The Journal of Microbiology. 56(1). 49–55. 8 indexed citations
6.
Oh, Seung‐Yoon, et al.. (2018). Effect of fruiting body bacteria on the growth of Tricholoma matsutake and its related molds. PLoS ONE. 13(2). e0190948–e0190948. 39 indexed citations
7.
Lee, Won Dong, Jonathan J. Fong, John A. Eimes, & Young Woon Lim. (2017). Diversity and abundance of human‐pathogenic fungi associated with pigeon faeces in urban environments. Molecular Ecology. 26(17). 4574–4585. 5 indexed citations
8.
Eimes, John A., et al.. (2017). Taxonomic evaluation of selected Ganoderma species and database sequence validation. PeerJ. 5. e3596–e3596. 44 indexed citations
9.
Kim, Changmu, Nam Kyu Kim, Jae Young Park, et al.. (2017). Three New Recorded Species of the Physalacriaceae on Ulleung Island, Korea. Mycobiology. 45(1). 9–14. 7 indexed citations
10.
Eimes, John A., et al.. (2016). Multiple major histocompatibility complex class I genes in Asian anurans: Ontogeny and phylogeny. Developmental & Comparative Immunology. 70. 69–79. 11 indexed citations
11.
Kosch, Tiffany A., John A. Eimes, Laura A. Brannelly, et al.. (2016). Characterization of MHC class IA in the endangered southern corroboree frog. Immunogenetics. 69(3). 165–174. 14 indexed citations
12.
Kosch, Tiffany A., et al.. (2016). Major histocompatibility complex selection dynamics in pathogen-infected túngara frog ( Physalaemus pustulosus ) populations. Biology Letters. 12(8). 20160345–20160345. 29 indexed citations
13.
Eimes, John A., Sang‐im Lee, Andrea K. Townsend, et al.. (2016). Early Duplication of a Single MHC IIB Locus Prior to the Passerine Radiations. PLoS ONE. 11(9). e0163456–e0163456. 8 indexed citations
14.
Cho, Hae Jin, Hyun Lee, Jae Young Park, et al.. (2016). Seven New Recorded Species in Five Genera of the Strophariaceae in Korea. Mycobiology. 44(3). 137–145. 9 indexed citations
15.
Eimes, John A., Andrea K. Townsend, Irem Sepil, Isao Nishiumi, & Yoko Satta. (2015). Patterns of evolution of MHC class II genes of crows ( Corvus ) suggest trans-species polymorphism. PeerJ. 3. e853–e853. 22 indexed citations
16.
Eimes, John A., et al.. (2012). Greater prairie chickens have a compact MHC-B with a single class IA locus. Immunogenetics. 65(2). 133–144. 18 indexed citations
17.
Bollmer, Jennifer L., et al.. (2011). Drift and selection influence geographic variation at immune loci of prairie-chickens. Molecular Ecology. 20(22). 4695–4706. 30 indexed citations
18.
Eimes, John A., Jennifer L. Bollmer, Linda A. Whittingham, et al.. (2011). Rapid loss of MHC class II variation in a bottlenecked population is explained by drift and loss of copy number variation. Journal of Evolutionary Biology. 24(9). 1847–1856. 89 indexed citations
19.
Eimes, John A., Jennifer L. Bollmer, Peter O. Dunn, Linda A. Whittingham, & Charles F. Wimpee. (2009). Mhc class II diversity and balancing selection in greater prairie-chickens. Genetica. 138(2). 265–271. 22 indexed citations
20.
Randall, Jan A., et al.. (2005). Flexible social structure of a desert rodent, Rhombomys opimus: philopatry, kinship, and ecological constraints. Behavioral Ecology. 16(6). 961–973. 84 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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