Michael D. Doherty

2.0k total citations
22 papers, 1.6k citations indexed

About

Michael D. Doherty is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael D. Doherty has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nature and Landscape Conservation, 9 papers in Global and Planetary Change and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael D. Doherty's work include Ecology and Vegetation Dynamics Studies (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neurotransmitter Receptor Influence on Behavior (7 papers). Michael D. Doherty is often cited by papers focused on Ecology and Vegetation Dynamics Studies (8 papers), Neuroscience and Neuropharmacology Research (7 papers) and Neurotransmitter Receptor Influence on Behavior (7 papers). Michael D. Doherty collaborates with scholars based in Australia, France and United States. Michael D. Doherty's 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 and has published in prestigious journals such as PLoS ONE, The Journal of Comparative Neurology and Brain Research.

In The Last Decade

Michael D. Doherty

21 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael D. Doherty Australia 18 535 473 420 393 305 22 1.6k
James A. Carr United States 32 636 1.2× 382 0.8× 255 0.6× 364 0.9× 46 0.2× 103 3.2k
Lena Bergström Sweden 33 761 1.4× 257 0.5× 900 2.1× 702 1.8× 28 0.1× 104 3.1k
Douglas H. Taylor United States 26 670 1.3× 331 0.7× 192 0.5× 453 1.2× 95 0.3× 77 1.9k
Oliver L. Pescott United Kingdom 12 156 0.3× 299 0.6× 193 0.5× 317 0.8× 324 1.1× 26 939
Md Saydur Rahman United States 30 579 1.1× 418 0.9× 86 0.2× 1.6k 4.1× 129 0.4× 105 3.1k
Yanzhen Zhang China 22 482 0.9× 92 0.2× 429 1.0× 339 0.9× 57 0.2× 63 1.8k
Jean‐François Julien France 27 372 0.7× 106 0.2× 551 1.3× 700 1.8× 221 0.7× 45 2.3k
Peter Saetre Sweden 31 312 0.6× 388 0.8× 263 0.6× 630 1.6× 28 0.1× 80 3.3k
Andrea Berardi United Kingdom 22 490 0.9× 129 0.3× 95 0.2× 266 0.7× 57 0.2× 56 1.8k
Catherine R. Propper United States 24 313 0.6× 121 0.3× 192 0.5× 275 0.7× 41 0.1× 72 1.5k

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-authorship network of co-authors of Michael D. Doherty

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

All Works

20 of 20 papers shown
1.
2.
Doherty, Michael D., A. Malcolm Gill, Geoffrey J. Cary, & Mike P. Austin. (2017). Seed viability of early maturing alpine ash (Eucalyptus delegatensis subsp. delegatensis) in the Australian Alps, south-eastern Australia, and its implications for management under changing fire regimes. Australian Journal of Botany. 65(7). 517–523. 17 indexed citations
3.
Zylstra, Philip, Ross A. Bradstock, Michael Bedward, et al.. (2016). Biophysical Mechanistic Modelling Quantifies the Effects of Plant Traits on Fire Severity: Species, Not Surface Fuel Loads, Determine Flame Dimensions in Eucalypt Forests. PLoS ONE. 11(8). e0160715–e0160715. 109 indexed citations
4.
Colloff, Matthew J., Berta Martín‐López, Sandra Lavorel, et al.. (2016). An integrative research framework for enabling transformative adaptation. Environmental Science & Policy. 68. 87–96. 142 indexed citations
5.
Colloff, Matthew J., Michael D. Doherty, Sandra Lavorel, et al.. (2016). Adaptation services and pathways for the management of temperate montane forests under transformational climate change. Climatic Change. 138(1-2). 267–282. 44 indexed citations
6.
Doherty, Michael D., et al.. (2015). The flora of Kosciuszko National Park, New South Wales: Summary and overview. Publication Server of Goethe University Frankfurt am Main (Goethe University Frankfurt). 11 indexed citations
7.
Lavorel, Sandra, Matthew J. Colloff, S. McIntyre, et al.. (2014). Ecological mechanisms underpinning climate adaptation services. Global Change Biology. 21(1). 12–31. 112 indexed citations
8.
9.
Doherty, Michael D.. (2011). Temperate and Boreal Rainforests of the World. Austral Ecology. 36(8). e45–e46. 16 indexed citations
10.
Doherty, Michael D., et al.. (2009). Classifying the fire‐response traits of plants: How reliable are species‐level classifications?. Austral Ecology. 35(3). 264–273. 22 indexed citations
11.
Austin, M. P., Lee Belbin, Jacqui Meyers, Michael D. Doherty, & Miska Luoto. (2006). Evaluation of statistical models used for predicting plant species distributions: Role of artificial data and theory. Ecological Modelling. 199(2). 197–216. 168 indexed citations
12.
Doherty, Michael D. & Virginia M. Pickel. (2001). Targeting of serotonin 1a receptors to dopaminergic neurons within the parabrachial subdivision of the ventral tegmental area in rat brain. The Journal of Comparative Neurology. 433(3). 390–400. 51 indexed citations
13.
Doherty, Michael D. & Virginia M. Pickel. (2000). Ultrastructural localization of the serotonin 2A receptor in dopaminergic neurons in the ventral tegmental area. Brain Research. 864(2). 176–185. 139 indexed citations
14.
Doherty, Michael D., et al.. (2000). N-methyl-D-aspartate (NMDA) receptors in the ventral tegmental area: Subcellular distribution and colocalization with 5-hydroxytryptamine2A receptors. Journal of Neuroscience Research. 60(2). 202–211. 28 indexed citations
15.
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Doherty, Michael D. & Alain Gratton. (1997). NMDA receptors in nucleus accumbens modulate stress-induced dopamine release in nucleus accumbens and ventral tegmental area. Synapse. 26(3). 225–234. 48 indexed citations
17.
Doherty, Michael D. & Alain Gratton. (1996). Medial prefrontal cortical D1 receptor modulation of the meso-accumbens dopamine response to stress: an electrochemical study in freely-behaving rats. Brain Research. 715(1-2). 86–97. 108 indexed citations
18.
Austin, M. P., et al.. (1994). Determining species response functions to an environmental gradient by means of a β‐function. Journal of Vegetation Science. 5(2). 215–228. 177 indexed citations
19.
Austin, M. P., Anthony Nicholls, Michael D. Doherty, & Jacqui Meyers. (1994). Determining Species Response Functions to an Environmental Gradient by Means of a b-Function. Journal of Vegetation Science. 5(2). 215–215. 93 indexed citations
20.
Doherty, Michael D. & Alain Gratton. (1992). High-speed chronoamperometric measurements of mesolimbic and nigrostriatal dopamine release associated with repeated daily stress. Brain Research. 586(2). 295–302. 97 indexed citations

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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