Dan Nonneman

3.5k total citations
97 papers, 2.0k citations indexed

About

Dan Nonneman is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Dan Nonneman has authored 97 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Genetics, 40 papers in Molecular Biology and 20 papers in Animal Science and Zoology. Recurrent topics in Dan Nonneman's work include Genetic and phenotypic traits in livestock (37 papers), Genetic Mapping and Diversity in Plants and Animals (33 papers) and Molecular Biology Techniques and Applications (12 papers). Dan Nonneman is often cited by papers focused on Genetic and phenotypic traits in livestock (37 papers), Genetic Mapping and Diversity in Plants and Animals (33 papers) and Molecular Biology Techniques and Applications (12 papers). Dan Nonneman collaborates with scholars based in United States, Argentina and South Korea. Dan Nonneman's co-authors include G. A. Rohrer, Ralph T. Wiedmann, Wade V. Welshons, B. A. Freking, J. L. Vallet, Timothy P. L. Smith, Venkataseshu K. Ganjam, Clay A Lents, Lea A. Rempel and Jorge A. Piedrahita and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The FASEB Journal.

In The Last Decade

Dan Nonneman

95 papers receiving 1.9k citations

Peers

Dan Nonneman
Comparison fields: 5 of 100
  • Genetics 952
  • Molecular Biology 726
  • Animal Science and Zoology 364
  • Cancer Research 276
  • Small Animals 204
Replace Valérie Amarger with:
Valérie Amarger France
Eduard Muráni Germany
Juliette Riquet France
Brenda M. Murdoch United States
Ángela Cánovas Canada
Stephanie McKay United States
M. Schwerin Germany
Ahmed Fadiel United States
Nares Trakooljul Germany
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Citations per field, relative to Dan Nonneman
Dan Nonneman · 1×
Citations per year, relative to Dan Nonneman
Dan Nonneman · 1×

Countries citing papers authored by Dan Nonneman

Since Specialization
Citations

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

Fields of papers citing papers by Dan Nonneman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Nonneman

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Nonneman. A scholar is included among the top collaborators of Dan Nonneman 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 Dan Nonneman. Dan Nonneman 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
# Work Indexed citations
1 6
2 25
3 1
4 27
5 12
6 31
7 35
8 103
9 5
10 7
11 15
12 25
13 3
14 5
15 23
16 3
17 3
18 7
19 91
20 40

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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