Jon D. Dellinger

764 citations
33 papers · 645 · h-index 14

Impact in

Papers in

Jon D. Dellinger

32 papers receiving 565 citations

Peers

Jon D. Dellinger
Comparison fields: 5 of 46
  • Agronomy and Crop Science 388
  • Microbiology 157
  • Small Animals 63
  • Endocrinology 14
  • Equine 5
Replace Olof Holmberg with:
Olof Holmberg Sweden
R.F. Sheldrake Australia
Federico Cunha United States
A. W. Hill United Kingdom
DL Watson Australia
M.R. Williams United Kingdom
Jakob Malmo Australia
Deborah M. Nash United Kingdom
Neil Craven United Kingdom
Alice Maria Melville Paiva Della Libera Brazil
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Citations per field
00.5×2×4×6×7.5×
Olof Holmberg · 1×
Citations per year

Countries citing papers authored by Jon D. Dellinger

Since Specialization
Citations

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

Fields of papers citing papers by Jon D. Dellinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon D. Dellinger. 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 Jon D. Dellinger. The network helps show where Jon D. Dellinger may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199489
2 199064
3 199758
4 199349
5 198337
6 197931
7 199031
8 197523
9 199221
10 196720
11
Experimental bovine mastitis due to mycoplasma.
196920
12 199217
13 199014
14 199514
15
Effectiveness of certain teat dips and sanitizers in vitro and on teat skin against Mycoplasma agalactiae subsp. bovis.
197612
16 198512
17 199012
18 197211
19 198111
20 198911

About Jon D. Dellinger

Jon D. Dellinger is a scholar working on Agronomy and Crop Science, Microbiology, Small Animals, Clinical Biochemistry and Infectious Diseases, having authored 33 papers that have together received 645 indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (19 papers), Microbial infections and disease research (12 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Animal health and immunology (3 papers), Bacterial Identification and Susceptibility Testing (2 papers), Escherichia coli research studies (1 paper), Blood disorders and treatments (1 paper) and Reproductive Physiology in Livestock (1 paper). The work is most often cited by research in Agronomy and Crop Science (388 citations), Microbiology (157 citations), Small Animals (63 citations), Endocrinology (14 citations) and Equine (5 citations). Jon D. Dellinger has collaborated with scholars based in United States, Denmark and Japan. Frequent co-authors include D. E. Jasper, James S. Cullor, Jeffrey L. Stott, Robert B. Bushnell, Wayne L. Smith, J. G. Zinkl, John T. Boothby, Jeff W. Tyler, Chet B. Thomas and Yoshihiro Nakamura. Their work appears in journals such as American Journal of Veterinary Research, Journal of the American Veterinary Medical Association, Veterinary Pathology, Journal of Dairy Science and Cellular Immunology.

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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