Michael D. Doherty

21 papers receiving 1.5k citations

Peers

Michael D. Doherty
Comparison fields: 5 of 121
  • Ecological Modeling 305
  • Nature and Landscape Conservation 473
  • Behavioral Neuroscience 119
  • Global and Planetary Change 535
  • Cellular and Molecular Neuroscience 420
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Eduardo Pineda Mexico
Jean‐François Julien France
Andrea Berardi United Kingdom
Md Saydur Rahman United States
James A. Carr United States
Michael A. Jenkins United States
Lena Bergström Sweden
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Citations per year

Countries citing papers authored by Michael D. Doherty

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Doherty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994177
2 2006168
3 2016142
4 2000139
5 2014112
6 2016109
7 1996108
8 199297
9 199493
10 201259
11 201752
12 200151
13 199748
14 199946
15 201644
16 200028
17 201625
18 200922
19 201717
20 201116

About Michael D. Doherty

Michael D. Doherty is a scholar working on Nature and Landscape Conservation, Global and Planetary Change, Cellular and Molecular Neuroscience, Ecology and Molecular Biology, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Fire effects on ecosystems (5 papers), Species Distribution and Climate Change (3 papers), Rangeland and Wildlife Management (3 papers), Receptor Mechanisms and Signaling (3 papers) and Land Use and Ecosystem Services (2 papers). The work is most often cited by research in Ecological Modeling (305 citations), Nature and Landscape Conservation (473 citations), Behavioral Neuroscience (119 citations), Global and Planetary Change (535 citations) and Cellular and Molecular Neuroscience (420 citations). Michael D. Doherty has collaborated with scholars based in Australia, France and United States. Frequent co-authors include Alain Gratton, Virginia M. Pickel, M. P. Austin, Anthony Nicholls, Jacqui Meyers, Sandra Lavorel, Matthew J. Colloff, Lee Belbin, Miska Luoto and Michael Dunlop. Their work appears in journals such as Brain Research, Austral Ecology, Journal of Vegetation Science, Australian Journal of Botany and Marine and Freshwater Research.

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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