Darla R. Ewalt

1.5k citations
31 papers · 1.2k indexed · h-index 19

Darla R. Ewalt

31 papers receiving 1.1k citations

Peers

Darla R. Ewalt
Comparison fields: 5 of 44
  • Small Animals 1.0k
  • Food Science 623
  • Endocrinology 174
  • Agronomy and Crop Science 247
  • Parasitology 82
Replace Alastair MacMillan with:
Alastair MacMillan United Kingdom
Klaus Nielsen Canada
Simon D. Brew United Kingdom
Luis Samartino Argentina
Nidia E. Lucero Argentina
R. M. Edelsten United Kingdom
Margaret E. Meyer United States
L B Forbes Canada
K.L. Samui Zambia
Cheville Nf United States
Darla R. Ewalt relative to Alastair MacMillan United Kingdom Alastair MacMillan's profile →
Citations per field
00.5×1.5×
Alastair MacMillan · 1×
Citations per year

Countries citing papers authored by Darla R. Ewalt

Since Specialization
Citations

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

Fields of papers citing papers by Darla R. Ewalt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200952
2 20063
3 200544
4 200334
5 2003121
6 200311
7 200350
8 20017
9 200151
10 200129
11 200079
12 199922
13 199931
14 199750
15 19954
16 1994180
17 19901
18
Comparison of five serologic tests and culture for brucellosis in swine experimentally infected with Brucella suis biovar 1.
19902
19 198912
20 19791

About Darla R. Ewalt

Darla R. Ewalt is a scholar working on Small Animals, Endocrinology and Food Science, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Brucella: diagnosis, epidemiology, treatment (30 papers), Escherichia coli research studies (11 papers), Salmonella and Campylobacter epidemiology (7 papers), Bacteriophages and microbial interactions (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Galectins and Cancer Biology (6 papers), Animal Disease Management and Epidemiology (5 papers) and Animal Diversity and Health Studies (4 papers). The work is most often cited by research in Small Animals (1.0k citations), Food Science (623 citations) and Endocrinology (174 citations). Darla R. Ewalt has collaborated with scholars based in United States and Canada. Frequent co-authors include Betsy J. Bricker, Jack C. Rhyan, Janet B. Payeur, Shirley M. Halling, Barbara Martin, D. Cummins, William G. Miller, Steven C. Olsen, Keith Aune and Geoffrey Foster. Their work appears in journals such as Journal of Veterinary Diagnostic Investigation, Journal of Wildlife Diseases, Journal of Clinical Microbiology, BMC Microbiology and Journal of the American Veterinary Medical Association.

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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