Daniel R. Sutherland

26 papers receiving 1.3k citations

Peers

Daniel R. Sutherland
Comparison fields: 5 of 102
  • Parasitology 163
  • Ecology 615
  • Ecological Modeling 87
  • Insect Science 204
  • Global and Planetary Change 338
Replace Francisco José García with:
Francisco José García Spain
Tina L. Cheng United States
John P. Dumbacher United States
F. Agustín Jiménez United States
Kailash Chandra India
Gavin J. Horsburgh United Kingdom
Aleš Horák Czechia
Oris I. Sanjur Panama
Mark Dorris United Kingdom
Danny Haelewaters United States
Daniel R. Sutherland relative to Francisco José García Spain Francisco José García's profile →
Citations per field
00.5×3.7×
Francisco José García · 1×
Citations per year

Countries citing papers authored by Daniel R. Sutherland

Since Specialization
Citations

This map shows the geographic impact of Daniel 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 Daniel 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 Daniel R. Sutherland more than expected).

Fields of papers citing papers by Daniel R. Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel 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 Daniel R. Sutherland Line = papers co-authored together Daniel 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007301
2 2002186
3 2004114
4 2018105
5 2008100
6 198499
7 201788
8 201960
9 198457
10 200654
11 198548
12 198535
13 200527
14 201622
15 201821
16 198420
17 200215
18 198611
19 19889
20 19889

About Daniel R. Sutherland

Daniel R. Sutherland is a scholar working on Ecology, Global and Planetary Change, Infectious Diseases, Organic Chemistry and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Parasite Biology and Host Interactions (10 papers), Amphibian and Reptile Biology (7 papers), Mosquito-borne diseases and control (5 papers), Parasitic Diseases Research and Treatment (5 papers), Insect symbiosis and bacterial influences (5 papers), Catalytic C–H Functionalization Methods (4 papers), Primate Behavior and Ecology (3 papers) and Vector-borne infectious diseases (2 papers). The work is most often cited by research in Parasitology (163 citations), Ecology (615 citations), Ecological Modeling (87 citations), Insect Science (204 citations) and Global and Planetary Change (338 citations). Daniel R. Sutherland has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Pieter T. J. Johnson, Bruce M. Christensen, Ai‐Lan Lee, Kevin B. Lunde, Jonathan M. Chase, Jackson A. Gross, Stephen R. Carpenter, Andrew R. Blaustein, John M. Kinsella and Vincent Gauchot. Their work appears in journals such as Canadian Journal of Zoology, Journal of Invertebrate Pathology, Ecological Monographs, Journal of Parasitology and Chemistry - A European Journal.

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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