John M. Mercer

1.1k total citations
10 papers, 920 citations indexed

About

John M. Mercer is a scholar working on Genetics, Molecular Biology and Geometry and Topology. According to data from OpenAlex, John M. Mercer has authored 10 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Geometry and Topology. Recurrent topics in John M. Mercer's work include Genetic diversity and population structure (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). John M. Mercer is often cited by papers focused on Genetic diversity and population structure (4 papers), Genetic and phenotypic traits in livestock (3 papers) and Genetic Mapping and Diversity in Plants and Animals (3 papers). John M. Mercer collaborates with scholars based in United States, China and Canada. John M. Mercer's co-authors include V. Louise Roth, Cathy C. Laurie, John True, Jianjun Liu, Zhao‐Bang Zeng, Lynn Stam, Gregory Gibson, Chen-Hung Kao, Daniel J. C. Kronauer and Philip J. Bergmann and has published in prestigious journals such as Science, Genetics and Molecular Phylogenetics and Evolution.

In The Last Decade

John M. Mercer

10 papers receiving 866 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John M. Mercer United States	8	549	275	206	205	197	10	920
Patricia M. Mirol Argentina	20	759 1.4×	289 1.1×	499 2.4×	182 0.9×	192 1.0×	44	1.1k
Kim van der Linde United States	13	322 0.6×	433 1.6×	216 1.0×	75 0.4×	78 0.4×	21	865
Valéria Fagundes Brazil	17	331 0.6×	261 0.9×	297 1.4×	131 0.6×	333 1.7×	50	835
Luana S. Maroja United States	16	634 1.2×	489 1.8×	297 1.4×	204 1.0×	103 0.5×	34	1.1k
İslam Gündüz Türkiye	17	711 1.3×	239 0.9×	651 3.2×	121 0.6×	196 1.0×	38	1.1k
Dardo A. Martí Argentina	18	408 0.7×	474 1.7×	308 1.5×	162 0.8×	148 0.8×	66	1.1k
Maria Grazia Filippucci Italy	17	639 1.2×	241 0.9×	702 3.4×	108 0.5×	321 1.6×	44	1.0k
Gina L. Conte Canada	9	934 1.7×	400 1.5×	294 1.4×	234 1.1×	72 0.4×	10	1.3k
Claudio J. Bidau Argentina	22	785 1.4×	682 2.5×	464 2.3×	309 1.5×	390 2.0×	103	1.7k
B. Dod France	13	686 1.2×	232 0.8×	350 1.7×	141 0.7×	67 0.3×	16	974

Countries citing papers authored by John M. Mercer

Since Specialization

Citations

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

Fields of papers citing papers by John M. Mercer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John M. Mercer

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

All Works

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10 of 10 papers shown

Siegel, Steven J., Caroline M. Percopo, Kimberly D. Dyer, et al.. (2009). RNase 1 genes from the family Sciuridae define a novel rodent ribonuclease cluster. Mammalian Genome. 20(11-12). 749–757. 5 indexed citations

Kronauer, Daniel J. C., Philip J. Bergmann, John M. Mercer, & Anthony P. Russell. (2004). A phylogeographically distinct and deep divergence in the widespread Neotropical turnip-tailed gecko, Thecadactylus rapicauda. Molecular Phylogenetics and Evolution. 34(2). 431–437. 28 indexed citations

Mercer, John M., et al.. (2003). The globalization of Shakespeare in the nineteenth century. 3 indexed citations

Mercer, John M. & V. Louise Roth. (2003). The Effects of Cenozoic Global Change on Squirrel Phylogeny. Science. 299(5612). 1568–1572. 242 indexed citations

Zeng, Zhao‐Bang, Jianjun Liu, Lynn Stam, et al.. (2000). Genetic Architecture of a Morphological Shape Difference Between Two Drosophila Species. Genetics. 154(1). 299–310. 156 indexed citations

Roth, V. Louise & John M. Mercer. (2000). Morphometrics in Development and Evolution. American Zoologist. 40(5). 801–810. 11 indexed citations

Roth, V. Louise & John M. Mercer. (2000). Morphometrics in Development and Evolution1. American Zoologist. 40(5). 801–810. 40 indexed citations

Laurie, Cathy C., John True, Jianjun Liu, & John M. Mercer. (1997). An Introgression Analysis of Quantitative Trait Loci That Contribute to a Morphological Difference Between Drosophila simulans and D. mauritiana. Genetics. 145(2). 339–348. 61 indexed citations

True, John, John M. Mercer, & Cathy C. Laurie. (1996). Differences in Crossover Frequency and Distribution Among Three Sibling Species of Drosophila. Genetics. 142(2). 507–523. 192 indexed citations

10.

Liu, Jianjun, John M. Mercer, Lynn Stam, et al.. (1996). Genetic Analysis of a Morphological Shape Difference in the Male Genitalia of Drosophila simulans and D. mauritiana. Genetics. 142(4). 1129–1145. 182 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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