Michael T. Ganger

27 total papers · 641 total citations
20 papers, 479 citations indexed

About

Michael T. Ganger is a scholar working on Nature and Landscape Conservation, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Michael T. Ganger has authored 20 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nature and Landscape Conservation, 8 papers in Plant Science and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Michael T. Ganger's work include Plant and animal studies (7 papers), Botany, Ecology, and Taxonomy Studies (5 papers) and Ecology and Vegetation Dynamics Studies (5 papers). Michael T. Ganger is often cited by papers focused on Plant and animal studies (7 papers), Botany, Ecology, and Taxonomy Studies (5 papers) and Ecology and Vegetation Dynamics Studies (5 papers). Michael T. Ganger collaborates with scholars based in United States and Grenada. Michael T. Ganger's co-authors include Shaoyi Liu, Surya V. Seshan, Yi Soong, Zhihong Zhao, Dunli Wu, Clara Tow, Hazel H. Szeto, Evelyn E. Gaiser, Janis T. Eells and Lesley B. Knoll and has published in prestigious journals such as Journal of the American Society of Nephrology, Oecologia and BMC Bioinformatics.

In The Last Decade

Michael T. Ganger

17 papers receiving 463 citations

Author Peers

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

Author Last Decade Papers Cites
Michael T. Ganger 184 93 56 53 50 20 479
Jeb S. Clark 173 0.9× 38 0.4× 124 2.2× 56 1.1× 14 0.3× 14 433
Louise M. McKenzie 139 0.8× 122 1.3× 83 1.5× 47 0.9× 14 0.3× 15 441
Belinda J. Davis 78 0.4× 104 1.1× 39 0.7× 22 0.4× 87 1.7× 14 426
Tadashi Hirano 89 0.5× 76 0.8× 37 0.7× 24 0.5× 18 0.4× 29 409
Isabel Cuesta Fernández 222 1.2× 102 1.1× 55 1.0× 17 0.3× 20 0.4× 25 485
Wiktor W. Nowinski 113 0.6× 29 0.3× 49 0.9× 10 0.2× 36 0.7× 14 427
Sandra Pribanić 299 1.6× 134 1.4× 100 1.8× 27 0.5× 10 0.2× 11 543
Toshihiro Sugiura 101 0.5× 117 1.3× 34 0.6× 20 0.4× 18 0.4× 30 428
Jackson Souza‐Menezes 201 1.1× 79 0.8× 15 0.3× 44 0.8× 4 0.1× 36 492
Douglas Waugh 67 0.4× 53 0.6× 59 1.1× 35 0.7× 9 0.2× 32 428

Countries citing papers authored by Michael T. Ganger

Since Specialization
Citations

This map shows the geographic impact of Michael T. Ganger'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 T. Ganger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Ganger more than expected).

Fields of papers citing papers by Michael T. Ganger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael T. Ganger

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Ganger. A scholar is included among the top collaborators of Michael T. Ganger 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 T. Ganger. Michael T. Ganger 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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