Mel Sunquist

2.3k citations
31 papers · 1.5k · h-index 16

Impact in

  • Ecology top 2%
    • Wildlife Ecology and Conservation
    • Animal Ecology and Behavior Studies
    • Species Distribution and Climate Change

Papers in

Mel Sunquist

30 papers receiving 1.3k citations

Peers

Mel Sunquist
Comparison fields: 5 of 81
  • Ecology 1.1k
  • Ecological Modeling 182
  • Paleontology 270
  • Small Animals 211
  • Ecology, Evolution, Behavior and Systematics 357
Replace William L. Franklin with:
William L. Franklin United States
Peter G. Crawshaw Brazil
Lon I. Grassman United States
Andrew Taber United States
Richard A. Kiltie United States
J.A.J. Nel South Africa
Mauro Lucherini Argentina
Jader Marinho‐Filho Brazil
Michael G. L. Mills South Africa
Theodore N. Bailey United States
Mel Sunquist relative to William L. Franklin United States William L. Franklin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mel Sunquist

Since Specialization
Citations

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

Fields of papers citing papers by Mel Sunquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003215
2 1989187
3 2007137
4 2001124
5 1986121
6
Habitat selection and use by two-toed and three-toed sloths
1978104
7 197586
8 198785
9 197374
10 200254
11 201043
12 201033
13 200930
14 198928
15 197422
16 198321
17 197315
18 197413
19 197313
20 199912

About Mel Sunquist

Mel Sunquist is a scholar working on Ecology, Ecology, Evolution, Behavior and Systematics, Paleontology, Social Psychology and Ecological Modeling, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (19 papers), Animal Ecology and Behavior Studies (10 papers), Evolution and Paleontology Studies (5 papers), Species Distribution and Climate Change (5 papers), Bat Biology and Ecology Studies (5 papers), Primate Behavior and Ecology (4 papers), Human-Animal Interaction Studies (3 papers) and Amphibian and Reptile Biology (3 papers). The work is most often cited by research in Ecology (1.1k citations), Ecological Modeling (182 citations), Paleontology (270 citations), Small Animals (211 citations) and Ecology, Evolution, Behavior and Systematics (357 citations). Mel Sunquist has collaborated with scholars based in United States, Thailand and Brazil. Frequent co-authors include G. G. Montgomery, Steven N. Austad, Justina C. Ray, Daniel G. Scognamillo, John Polisar, Rajanathan Rajaratnam, Laurentius Ambu, Jim Sanderson, Agustín Iriarte and Daniel H. Thornton. Their work appears in journals such as Journal of Mammalogy, Journal of Zoology, Journal of Tropical Ecology, Copeia and Ibis.

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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