Michael R. Sutherland

66 papers receiving 3.2k citations

Michael R. Sutherland's Hit Papers

Hierarchical Partitioning 1991 · 633 citations
6330+11+23Years since publication200400600

Peers

Michael R. Sutherland
Comparison fields: 5 of 179
  • Paleontology 597
  • Developmental Biology 93
  • Nature and Landscape Conservation 502
  • Ecological Modeling 170
  • Ecology 986
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Richard E. Green United States
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Thomas Martin Germany
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Citations per field
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Citations per year

Countries citing papers authored by Michael R. Sutherland

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Hierarchical Partitioning
Hit paper breakdown →
1991633
2 1998255
3 2004232
4 2015136
5 2012119
6 2001119
7 2007116
8 201193
9 200987
10 200483
11 201377
12 199776
13 200376
14 199172
15 199670
16 199365
17 199561
18 200360
19 199559
20 198458

About Michael R. Sutherland

Michael R. Sutherland is a scholar working on Social Psychology, Hematology, Epidemiology, Surgery and Global and Planetary Change, having authored 66 papers that have together received 3.3k indexed citations. Recurring topics across this work include Primate Behavior and Ecology (15 papers), Blood Coagulation and Thrombosis Mechanisms (11 papers), Heparin-Induced Thrombocytopenia and Thrombosis (8 papers), Amphibian and Reptile Biology (8 papers), Herpesvirus Infections and Treatments (7 papers), Evolution and Paleontology Studies (6 papers), Platelet Disorders and Treatments (4 papers) and Morphological variations and asymmetry (4 papers). The work is most often cited by research in Paleontology (597 citations), Developmental Biology (93 citations), Nature and Landscape Conservation (502 citations), Ecological Modeling (170 citations) and Ecology (986 citations). Michael R. Sutherland has collaborated with scholars based in United States, Canada and Madagascar. Frequent co-authors include Albert Chevan, Laurie R. Godfrey, Edward L.G. Pryzdial, William L. Jungers, Francis Juanes, Frederick S. Scharf, Karen E. Samonds, Gina M. Semprebon, Nikos Solounias and Mitchell T. Irwin. Their work appears in journals such as Blood, American Journal of Physical Anthropology, Journal of Thrombosis and Haemostasis, Journal of Human Evolution and Proceedings of the National Academy of Sciences.

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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