Susan A. Mainka

30 total papers · 2.6k total citations
21 papers, 718 citations indexed

About

Susan A. Mainka is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics and Small Animals. According to data from OpenAlex, Susan A. Mainka has authored 21 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 4 papers in Ecology, Evolution, Behavior and Systematics and 3 papers in Small Animals. Recurrent topics in Susan A. Mainka's work include Environmental DNA in Biodiversity Studies (4 papers), Wildlife Ecology and Conservation (4 papers) and Animal Behavior and Welfare Studies (3 papers). Susan A. Mainka is often cited by papers focused on Environmental DNA in Biodiversity Studies (4 papers), Wildlife Ecology and Conservation (4 papers) and Animal Behavior and Welfare Studies (3 papers). Susan A. Mainka collaborates with scholars based in China, United States and Switzerland. Susan A. Mainka's co-authors include Geoffrey W. Howard, L. Brussaard, Didier Babin, Leslie Lipper, Bruce Campbell, Patrick Caron, R. Rabbinge, Mirjam Pulleman, Jeffrey A. McNeely and Hemin Zhang and has published in prestigious journals such as Conservation Biology, Ecology and Society and Current Opinion in Environmental Sustainability.

In The Last Decade

Susan A. Mainka

21 papers receiving 671 citations

Author Peers

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

Author Last Decade Papers Cites
Susan A. Mainka 313 188 134 118 118 21 718
Alfredo Romero‐Muñoz 438 1.4× 260 1.4× 94 0.7× 126 1.1× 59 0.5× 17 730
Brian Machovina 553 1.8× 139 0.7× 102 0.8× 157 1.3× 57 0.5× 9 909
Jordi Bartolomé 490 1.6× 209 1.1× 121 0.9× 74 0.6× 85 0.7× 64 893
Joel C. Sáenz 498 1.6× 182 1.0× 175 1.3× 159 1.3× 63 0.5× 34 761
David Giralt 341 1.1× 124 0.7× 217 1.6× 135 1.1× 81 0.7× 33 657
Yolanda Melero 526 1.7× 175 0.9× 176 1.3× 181 1.5× 152 1.3× 47 895
G. Philip Clarke 347 1.1× 298 1.6× 163 1.2× 83 0.7× 72 0.6× 14 833
Haruka Ohashi 373 1.2× 226 1.2× 109 0.8× 187 1.6× 63 0.5× 33 835
L. E. Neville 312 1.0× 102 0.5× 223 1.7× 57 0.5× 74 0.6× 26 763
Gerardo Sánchez‐Rojas 406 1.3× 98 0.5× 217 1.6× 151 1.3× 80 0.7× 71 694

Countries citing papers authored by Susan A. Mainka

Since Specialization
Citations

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

Fields of papers citing papers by Susan A. Mainka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan A. Mainka. 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 Susan A. Mainka. The network helps show where Susan A. Mainka may publish in the future.

Co-authorship network of co-authors of Susan A. Mainka

This figure shows the co-authorship network connecting the top 25 collaborators of Susan A. Mainka. A scholar is included among the top collaborators of Susan A. Mainka 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 Susan A. Mainka. Susan A. Mainka 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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