Beth Slikas

4.1k citations
45 papers · 3.1k indexed · h-index 27

Impact in

Papers in

Beth Slikas

44 papers receiving 3.0k citations

Peers

Beth Slikas
Comparison fields: 5 of 103
  • Animal Science and Zoology 655
  • Infectious Diseases 1.2k
  • Developmental Biology 86
  • Ecological Modeling 167
  • Paleontology 255
Replace Sharon L. Deem with:
Sharon L. Deem United States
Benoı̂t de Thoisy French Guiana
Gudrun Wibbelt Germany
Scott H. Newman United States
Simon J. Goodman United Kingdom
Trent K. Bollinger Canada
David N. Phalen Australia
David A. Jessup United States
Marcela Uhart United States
Ward B. Stone United States
Beth Slikas relative to Sharon L. Deem United States Sharon L. Deem's profile →
Citations per field
00.5×9.8×
Sharon L. Deem · 1×
Citations per year

Countries citing papers authored by Beth Slikas

Since Specialization
Citations

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

Fields of papers citing papers by Beth Slikas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20234
3 2015288
4 201529
5 201233
6 201245
7 2010305
8 201046
9 2009302
10 2009321
11 200810
12 2008262
13 200587
14 20036
15 200272
16 200176
17 199842
18 199747
19 19962
20 199653

About Beth Slikas

Beth Slikas is a scholar working on Ecological Modeling, Genetics, Ecology, Paleontology and Animal Science and Zoology, having authored 45 papers that have together received 3.1k indexed citations. Recurring topics across this work include Genetic diversity and population structure (24 papers), Wildlife Ecology and Conservation (9 papers), Identification and Quantification in Food (9 papers), Plant and animal studies (8 papers), Species Distribution and Climate Change (7 papers), Avian ecology and behavior (7 papers), Viral gastroenteritis research and epidemiology (5 papers) and Animal Virus Infections Studies (4 papers). The work is most often cited by research in Animal Science and Zoology (655 citations), Infectious Diseases (1.2k citations), Developmental Biology (86 citations), Ecological Modeling (167 citations) and Paleontology (255 citations). Beth Slikas has collaborated with scholars based in United States, Pakistan and Australia. Frequent co-authors include Eric Delwart, Amit Kapoor, Frank B. Gill, Frederick H. Sheldon, Sohail Zaidi, Asif Naeem, Chunlin Wang, Robert C. Fleischer, Peter Simmonds and Linlin Li. Their work appears in journals such as The Auk, Evolution, The Journal of Infectious Diseases, Molecular Phylogenetics and Evolution and Ornithological Applications.

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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