John Damuth

7.5k citations
42 papers · 5.3k indexed · 1 hit paper · h-index 30

John Damuth

42 papers receiving 4.8k citations

Hit Papers

Population density and body size in mammals9101981202619962011250500750

Peers

John Damuth
Comparison fields: 5 of 141
  • Paleontology 1.9k
  • Ecological Modeling 610
  • Ecology 2.7k
  • Nature and Landscape Conservation 1.1k
  • Anthropology 736
Replace Charles R. Marshall with:
Charles R. Marshall United States
John Alroy Australia
Bruce J. MacFadden United States
Michael J. Novacek United States
Felisa A. Smith United States
David W. Steadman United States
Storrs L. Olson United States
S. Kathleen Lyons United States
R. D. E. MacPhee United States
David Jablonski United States
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Citations per field
00.5×1.5×2.2×
Charles R. Marshall · 1×
Citations per year

Countries citing papers authored by John Damuth

Since Specialization
Citations

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

Fields of papers citing papers by John Damuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20225
3 201574
4
Molar wear gradient analysis in extant and fossil kangaroos (Marsupialia, Macropodoidea)
20122
5 2011295
6 20112
7 2010158
8
Precipitation and large herbivorous mammals I: estimates from present-day communities
201086
9 201077
10 200765
11 200730
12 200730
13 2004304
14 20044
15 2002186
16 2002151
17 1993196
18 1987439
19 198586
20 1982105

About John Damuth

John Damuth is a scholar working on Paleontology, Ecological Modeling and Ecology, having authored 42 papers that have together received 5.3k indexed citations. Recurring topics across this work include Evolution and Paleontology Studies (18 papers), Animal Ecology and Behavior Studies (13 papers), Wildlife Ecology and Conservation (10 papers), Physiological and biochemical adaptations (9 papers), Bat Biology and Ecology Studies (8 papers), Pleistocene-Era Hominins and Archaeology (7 papers), Plant and animal studies (7 papers) and Species Distribution and Climate Change (4 papers). The work is most often cited by research in Paleontology (1.9k citations), Ecological Modeling (610 citations) and Ecology (2.7k citations). John Damuth has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Christine M. Janis, I. Lorraine Heisler, Virginie Millien, Jessica M. Theodor, Xiaoming Wang, Blaire Van Valkenburgh, Bruce J. MacFadden, Amos Maritan, Jayanth R. Banavar and Andrea Rinaldo. Their work appears in journals such as Evolution, Nature, The American Naturalist, Journal of Vertebrate Paleontology 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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