Nicola M. Anthony

2.2k citations
57 papers · 1.6k indexed · h-index 24

Nicola M. Anthony

55 papers receiving 1.6k citations

Peers

Nicola M. Anthony
Comparison fields: 5 of 93
  • Insect Science 480
  • Ecological Modeling 160
  • Genetics 498
  • Ecology, Evolution, Behavior and Systematics 324
  • Ecology 389
Replace Alessandro Grapputo with:
Alessandro Grapputo Italy
Mariana L. Lyra Brazil
Graham J. Holloway United Kingdom
Ken Kraaijeveld Netherlands
Aaron A. Comeault United States
Erica L. Larson United States
Jessica Stapley Australia
Juan C. Santos United States
John P. Dumbacher United States
Ivone R. Diniz Brazil
Nicola M. Anthony relative to Alessandro Grapputo Italy Alessandro Grapputo's profile →
Citations per field
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Alessandro Grapputo · 1×
Citations per year

Countries citing papers authored by Nicola M. Anthony

Since Specialization
Citations

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

Fields of papers citing papers by Nicola M. Anthony

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nicola M. Anthony, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nicola M. Anthony Line = papers co-authored together Nicola M. Anthony links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20230
3 20222
4 201822
5 201714
6 201548
7 20157
8 201411
9 201414
10 201215
11 201127
12 201115
13 200930
14 200879
15 200636
16 200569
17 200417
18 200349
19 19947
20 19925

About Nicola M. Anthony

Nicola M. Anthony is a scholar working on Ecological Modeling, Insect Science and Genetics, having authored 57 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic diversity and population structure (19 papers), Insect and Pesticide Research (11 papers), Insect Resistance and Genetics (11 papers), Wildlife Ecology and Conservation (10 papers), Genomics and Phylogenetic Studies (10 papers), Insect Pest Control Strategies (8 papers), Primate Behavior and Ecology (8 papers) and Amphibian and Reptile Biology (7 papers). The work is most often cited by research in Insect Science (480 citations), Ecological Modeling (160 citations) and Genetics (498 citations). Nicola M. Anthony has collaborated with scholars based in United States, United Kingdom and Gabon. Frequent co-authors include Richard H. ffrench‐Constant, Iván Darío Soto‐Calderón, Kate Aronstein, Thomas A. Rocheleau, Ashley M. Vaughan, Barry R. Pittendrigh, Michael W. Bruford, Katharine Abernethy, Stephen L. Clifford and David B. Sattelle. Their work appears in journals such as Molecular Phylogenetics and Evolution, BMC Evolutionary Biology, Conservation Genetics, Biology of Reproduction and Journal of Heredity.

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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