J. J. Emerson

4.0k citations
31 papers · 2.5k indexed · h-index 23
Topics
Chromosomal and Genetic Variations (14 papers)Genomics and Chromatin Dynamics (8 papers)Genomics and Phylogenetic Studies (8 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

J. J. Emerson

30 papers receiving 2.5k citations

Peers

J. J. Emerson
Comparison fields: 5 of 101
  • Molecular Biology 1.4k
  • Genetics 1.3k
  • Plant Science 1.1k
  • Insect Science 375
  • Ecology, Evolution, Behavior and Systematics 329
Replace Kristian Stevens with:
Kristian Stevens United States
Esther Betrán United States
Sarah B. Kingan United States
Josefa González Spain
Fredrik Tegenfeldt Switzerland
Guy Slater United Kingdom
Qiye Li China
Keith Bradnam United States
Weidong Bao United States
Clément Goubert United States
J. J. Emerson relative to Kristian Stevens United States Kristian Stevens's profile →
Citations per field
00.5×1.7×
Kristian Stevens · 1×
Citations per year

Countries citing papers authored by J. J. Emerson

Since Specialization
Citations

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

Fields of papers citing papers by J. J. Emerson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. J. Emerson. 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 J. J. Emerson. The network helps show where J. J. Emerson may publish in the future.

Co-authorship network of co-authors of J. J. Emerson

This figure shows the co-authorship network connecting the top 25 collaborators of J. J. Emerson. A scholar is included among the top collaborators of J. J. Emerson 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 J. J. Emerson. J. J. Emerson 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
#WorkIndexed citations
1 13
2 0
3 1
4 2
5 10
6 34
7 57
8 24
9 22
10 63
11 111
12 117
13 64
14 95
15 234
16 66
17 238
18 26
19 128
20 26

About J. J. Emerson

J. J. Emerson is a scholar working on Genetics, Plant Science and Insect Science, having authored 31 papers that have together received 2.5k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (14 papers), Genomics and Chromatin Dynamics (8 papers) and Genomics and Phylogenetic Studies (8 papers). The work is most often cited by research in Genetics (1.3k citations), Insect Science (375 citations) and Plant Science (1.1k citations). J. J. Emerson has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Mahul Chakraborty, Manyuan Long, Anthony D. Long, Esther Betrán, Henrik Kaessmann, James G. Baldwin-Brown, Margarida Cardoso-Moreira, Justin Borevitz, Doris Bachtrog and Shivani Mahajan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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