Michael Sharkey

870 citations
28 papers · 549 · h-index 8

Impact in

Papers in

Michael Sharkey

20 papers receiving 527 citations

Peers

Michael Sharkey
Comparison fields: 5 of 28
  • Ecology, Evolution, Behavior and Systematics 425
  • Insect Science 256
  • Genetics 183
  • Ecology 69
  • Ecological Modeling 7
Replace Laurianne Leniaud with:
Laurianne Leniaud Belgium
Buntikа А. Butcher Thailand
S. H. Berlocher United States
Tianjuan Su China
Kenjiro KAWASAKI Japan
Ho‐Yeon Han South Korea
Masahiko Muraji Japan
Lucian Fusu Romania
Heon Cheon Jeong South Korea
David Carmean Canada
Michael Sharkey relative to Laurianne Leniaud Belgium Laurianne Leniaud's profile →
Citations per field
00.5×3.7×
Laurianne Leniaud · 1×
Citations per year

Countries citing papers authored by Michael Sharkey

Since Specialization
Citations

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

Fields of papers citing papers by Michael Sharkey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Sharkey, 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 Michael Sharkey Line = papers co-authored together Michael Sharkey links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011157
2 2013107
3 201898
4 200989
5 201119
6 201213
7 201011
8 20107
9 19876
10 20056
11 20076
12 20126
13 20115
14 20125
15 20115
16 20094
17
Godzone: The Devil and the Deep Blue Sea
19901
18 20121
19 20191
20 20251

About Michael Sharkey

Michael Sharkey is a scholar working on Ecology, Evolution, Behavior and Systematics, Insect Science, Genetics, Sociology and Political Science and Anthropology, having authored 28 papers that have together received 549 indexed citations. Recurring topics across this work include Hymenoptera taxonomy and phylogeny (16 papers), Insect-Plant Interactions and Control (15 papers), Insect behavior and control techniques (8 papers), Plant and animal studies (6 papers), Fossil Insects in Amber (2 papers), Lepidoptera: Biology and Taxonomy (2 papers), Australian History and Society (2 papers) and Isotope Analysis in Ecology (1 paper). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (425 citations), Insect Science (256 citations), Genetics (183 citations), Ecology (69 citations) and Ecological Modeling (7 citations). Michael Sharkey has collaborated with scholars based in United States, China and Iran. Frequent co-authors include John M. Heraty, Fredrik Ronquist, Xue‐Xin Chen, Shu‐Jun Wei, Lars Vilhelmsen, Seraina Klopfstein, Min Shi, He Junhua, James B. Munro and David C. Hawks. Their work appears in journals such as Zootaxa, Molecular Phylogenetics and Evolution, ZooKeys, Australian Literary Studies and PLoS ONE.

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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