C. M. Eklund

48 total papers · 1.8k total citations
33 papers, 1.1k citations indexed

About

C. M. Eklund is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, C. M. Eklund has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 12 papers in Ecology, Evolution, Behavior and Systematics and 11 papers in Agronomy and Crop Science. Recurrent topics in C. M. Eklund's work include Viral Infections and Vectors (15 papers), Vector-Borne Animal Diseases (12 papers) and Animal Disease Management and Epidemiology (11 papers). C. M. Eklund is often cited by papers focused on Viral Infections and Vectors (15 papers), Vector-Borne Animal Diseases (12 papers) and Animal Disease Management and Epidemiology (11 papers). C. M. Eklund collaborates with scholars based in United States and Canada. C. M. Eklund's co-authors include W. J. Hadlow, R. C. Kennedy, Richard Race, L. A. Thomas, T.A. Jackson, S. Patricia Cochran, Stanley B. Prusiner, David E. Garfin, J. Richard Baringer and C. L. Larson and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Biochemistry.

In The Last Decade

C. M. Eklund

32 papers receiving 942 citations

Hit Papers

Pathogenesis of Scrapie V... 1967 2026 1986 2006 1967 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
C. M. Eklund 696 319 265 197 133 33 1.1k
Gary L. Mason 877 1.3× 216 0.7× 184 0.7× 232 1.2× 76 0.6× 34 1.4k
R. C. Kennedy 966 1.4× 264 0.8× 324 1.2× 320 1.6× 253 1.9× 17 1.3k
Francesca Chianini 498 0.7× 328 1.0× 242 0.9× 220 1.1× 190 1.4× 74 1.5k
R.L. Chandler 786 1.1× 149 0.5× 344 1.3× 287 1.5× 118 0.9× 69 1.5k
Pierre Lessard 479 0.7× 146 0.5× 133 0.5× 157 0.8× 64 0.5× 47 1.4k
Angel Ortiz‐Peláez 331 0.5× 247 0.8× 148 0.6× 83 0.4× 87 0.7× 45 1.0k
I. Zlotnik 534 0.8× 380 1.2× 174 0.7× 206 1.0× 60 0.5× 54 1.1k
Torsten Seuberlich 423 0.6× 596 1.9× 162 0.6× 204 1.0× 305 2.3× 78 1.3k
Maria Nöremark 438 0.6× 140 0.4× 187 0.7× 163 0.8× 38 0.3× 27 1.0k
S. Done 255 0.4× 357 1.1× 108 0.4× 128 0.6× 270 2.0× 67 1.1k

Countries citing papers authored by C. M. Eklund

Since Specialization
Citations

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

Fields of papers citing papers by C. M. Eklund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. M. Eklund. 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 C. M. Eklund. The network helps show where C. M. Eklund may publish in the future.

Co-authorship network of co-authors of C. M. Eklund

This figure shows the co-authorship network connecting the top 25 collaborators of C. M. Eklund. A scholar is included among the top collaborators of C. M. Eklund based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with C. M. Eklund. C. M. Eklund is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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