K. S. Latimer

2.3k citations
48 papers · 1.7k indexed · h-index 20

Impact in

Papers in

K. S. Latimer

47 papers receiving 1.6k citations

Peers

K. S. Latimer
Comparison fields: 5 of 98
  • Animal Science and Zoology 1.2k
  • Infectious Diseases 820
  • Parasitology 161
  • Genetics 590
  • Small Animals 154
Replace J.C. Gómez-Villamandos with:
J.C. Gómez-Villamandos Spain
Alan R. Doster United States
Bent Aasted Denmark
Amy Poland United States
Daniel P. Shaw United States
R. L. Reece Australia
R.C. Povey United Kingdom
Tomoyuki SHIBAHARA Japan
T. Sydler Switzerland
Kenneth S. Latimer United States
K. S. Latimer relative to J.C. Gómez-Villamandos Spain J.C. Gómez-Villamandos's profile →
Citations per field
00.5×2.6×
J.C. Gómez-Villamandos · 1×
Citations per year

Countries citing papers authored by K. S. Latimer

Since Specialization
Citations

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

Fields of papers citing papers by K. S. Latimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K. S. Latimer. 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 K. S. Latimer. The network helps show where K. S. Latimer may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2
Duncan & Prasse's veterinary laboratory medicine: clinical pathology.
2011128
3 20036
4 200114
5 20008
6 1999338
7 1998198
8 19989
9
Sarcocystis-associated encephalitis and myocarditis in a wild turkey (Meleagris gallopavo).
199816
10 199630
11 199524
12 199424
13 199443
14 19910
15 199196
16 199152
17 198820
18 198711
19 198521
20 198417

About K. S. Latimer

K. S. Latimer is a scholar working on Animal Science and Zoology, Parasitology, Microbiology, Small Animals and Infectious Diseases, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (16 papers), Virus-based gene therapy research (11 papers), Viral gastroenteritis research and epidemiology (8 papers), Microbial infections and disease research (5 papers), Bird parasitology and diseases (5 papers), Animal Nutrition and Physiology (5 papers), Herpesvirus Infections and Treatments (5 papers) and Veterinary Oncology Research (4 papers). The work is most often cited by research in Animal Science and Zoology (1.2k citations), Infectious Diseases (820 citations), Parasitology (161 citations), Genetics (590 citations) and Small Animals (154 citations). K. S. Latimer has collaborated with scholars based in United States, Spain and Netherlands. Frequent co-authors include Frank D. Niagro, Branson W. Ritchie, Mariano Domingo, Joaquím Segalés, Phil D. Lukert, Raymond P. Campagnoli, W. L. Steffens, Pauline M. Rakich, M. Balasch and G. M. Rodríguez‐Arrioja. Their work appears in journals such as Veterinary Pathology, Avian Diseases, Avian Pathology, Journal of Comparative Pathology and Journal of Veterinary Diagnostic Investigation.

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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