David K. Skelly

10.7k citations
95 papers · 8.2k indexed · 2 hit papers · h-index 43

David K. Skelly

92 papers receiving 7.6k citations

Hit Papers

Microgeographic adaptation and th...39419962026200620164008001.2k

Peers

David K. Skelly
Comparison fields: 5 of 136
  • Ecological Modeling 2.3k
  • Nature and Landscape Conservation 2.9k
  • Global and Planetary Change 4.1k
  • Ecology 3.9k
  • Ecology, Evolution, Behavior and Systematics 2.9k
Replace L. Scott Mills with:
L. Scott Mills United States
Josh Van Buskirk Switzerland
C. David L. Orme United Kingdom
John T. Rotenberry United States
Henry M. Wilbur United States
Andrew R. Blaustein United States
William E. Magnusson Brazil
David Mouillot France
Kimberly A. With United States
Matthew R. Helmus United States
David K. Skelly relative to L. Scott Mills United States L. Scott Mills's profile →
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Citations per year

Countries citing papers authored by David K. Skelly

Since Specialization
Citations

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

Fields of papers citing papers by David K. Skelly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David K. Skelly. 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 David K. Skelly. The network helps show where David K. Skelly may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20234
5 202129
6 201927
7 201621
8 201225
9 201111
10
Cryptic divergence: countergradient variation in the wood frog.
20094
11 200985
12 2008210
13 200861
14 2007218
15 2006175
16 200624
17 200596
18 2005203
19 199534
20
Larval distributions of spring peepers and chorus frogs: Regulating factors and the role of larval behavior.
19929

About David K. Skelly

David K. Skelly is a scholar working on Ecological Modeling, Nature and Landscape Conservation and Global and Planetary Change, having authored 95 papers that have together received 8.2k indexed citations. Recurring topics across this work include Amphibian and Reptile Biology (54 papers), Species Distribution and Climate Change (36 papers), Ecology and Vegetation Dynamics Studies (28 papers), Animal Behavior and Reproduction (21 papers), Wildlife Ecology and Conservation (17 papers), Plant and animal studies (14 papers), Fish Ecology and Management Studies (12 papers) and Parasite Biology and Host Interactions (5 papers). The work is most often cited by research in Ecological Modeling (2.3k citations), Nature and Landscape Conservation (2.9k citations) and Global and Planetary Change (4.1k citations). David K. Skelly has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Earl E. Werner, Mark C. Urban, Gary A. Wellborn, Joseph M. Kiesecker, L. Kealoha Freidenburg, Rick A. Relyea, Kerry L. Yurewicz, Phoebe L. Zarnetske, Richard Shine and Ben L. Phillips. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

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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