Sean P. Leonard

48 total papers · 2.0k total citations
24 papers, 1.2k citations indexed

About

Sean P. Leonard is a scholar working on Genetics, Insect Science and Molecular Biology. According to data from OpenAlex, Sean P. Leonard has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 14 papers in Insect Science and 10 papers in Molecular Biology. Recurrent topics in Sean P. Leonard's work include Insect and Pesticide Research (11 papers), Plant and animal studies (9 papers) and Insect and Arachnid Ecology and Behavior (9 papers). Sean P. Leonard is often cited by papers focused on Insect and Pesticide Research (11 papers), Plant and animal studies (9 papers) and Insect and Arachnid Ecology and Behavior (9 papers). Sean P. Leonard collaborates with scholars based in United States, China and Canada. Sean P. Leonard's co-authors include Nancy A. Moran, J. Elijah Powell, Jeffrey E. Barrick, Erick V. S. Motta, Margaret I. Steele, Hao Zheng, Bryan W. Davies, Peng Geng, Yiyuan Li and Andrew D. Ellington and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Sean P. Leonard

20 papers receiving 1.2k citations

Hit Papers

Honey bees as models for ... 2018 2026 2020 2023 2018 2020 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Sean P. Leonard 792 577 514 366 83 24 1.2k
M. Marta Guarna 550 0.7× 504 0.9× 472 0.9× 398 1.1× 86 1.0× 42 1.3k
Julien Brillard 603 0.8× 574 1.0× 380 0.7× 675 1.8× 140 1.7× 32 1.4k
Alan Gunn 962 1.2× 640 1.1× 658 1.3× 156 0.4× 232 2.8× 34 1.5k
Mikio Yoshiyama 1.1k 1.3× 599 1.0× 637 1.2× 247 0.7× 165 2.0× 55 1.3k
Zakee L. Sabree 1.1k 1.4× 559 1.0× 538 1.0× 152 0.4× 159 1.9× 36 1.3k
Tobias Engl 810 1.0× 321 0.6× 234 0.5× 145 0.4× 136 1.6× 34 1.1k
Panagiotis Sapountzis 985 1.2× 470 0.8× 354 0.7× 194 0.5× 186 2.2× 37 1.3k
Araceli Lamelas 684 0.9× 167 0.3× 132 0.3× 262 0.7× 229 2.8× 36 1.2k
Evelyn Zientz 543 0.7× 410 0.7× 116 0.2× 333 0.9× 143 1.7× 9 1.0k
Kirsten Ellegaard 821 1.0× 527 0.9× 591 1.1× 143 0.4× 64 0.8× 17 1.1k

Countries citing papers authored by Sean P. Leonard

Since Specialization
Citations

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

Fields of papers citing papers by Sean P. Leonard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sean P. Leonard. 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 Sean P. Leonard. The network helps show where Sean P. Leonard may publish in the future.

Co-authorship network of co-authors of Sean P. Leonard

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

All Works

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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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