John M. Mercer

1.1k citations
10 papers · 920 indexed · h-index 8
Topics
Genetic diversity and population structure (4 papers)Genetic and phenotypic traits in livestock (3 papers)Genetic Mapping and Diversity in Plants and Animals (3 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

John M. Mercer

10 papers receiving 866 citations

Peers

John M. Mercer
Comparison fields: 5 of 68
  • Genetics 549
  • Ecology, Evolution, Behavior and Systematics 275
  • Ecology 206
  • Molecular Biology 205
  • Paleontology 197
Replace David Lofsvold with:
David Lofsvold United States
Kim van der Linde United States
Maria Grazia Filippucci Italy
Camilo I. Mattoni Argentina
Valéria Fagundes Brazil
Luana S. Maroja United States
Sérgio Furtado dos Reis Brazil
Dardo A. Martí Argentina
İslam Gündüz Türkiye
Gina L. Conte Canada
John M. Mercer relative to David Lofsvold United States David Lofsvold's profile →
Citations per field
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David Lofsvold · 1×
Citations per year

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

10 of 10 papers shown
#WorkIndexed citations
1 5
2 28
3
The globalization of Shakespeare in the nineteenth century
3
4 242
5 156
6 11
7 40
8 61
9 192
10 182

About John M. Mercer

John M. Mercer is a scholar working on Ecological Modeling, Geometry and Topology and Genetics, having authored 10 papers that have together received 920 indexed citations. Recurring topics across this 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). The work is most often cited by research in Paleontology (197 citations), Genetics (549 citations) and Ecology, Evolution, Behavior and Systematics (275 citations). John M. Mercer has collaborated with scholars based in United States, China and Canada. Frequent 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. Their work appears in journals such as Science, Genetics and Molecular Phylogenetics and Evolution.

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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