R.D. Schultz

630 citations
20 papers · 503 · h-index 12

Impact in

    • Microbial infections and disease research
    • Listeria monocytogenes in Food Safety
    • Microbial Inactivation Methods

Papers in

    • T-cell and Retrovirus Studies 4
    • Immune Response and Inflammation 3
    • T-cell and B-cell Immunology 2
    • Microbial infections and disease research 5

R.D. Schultz

20 papers receiving 451 citations

Peers

R.D. Schultz
Comparison fields: 5 of 69
  • Microbiology 121
  • Biotechnology 122
  • Agronomy and Crop Science 104
  • Immunology 145
  • Food Science 113
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Citations per year

Countries citing papers authored by R.D. Schultz

Since Specialization
Citations

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

Fields of papers citing papers by R.D. Schultz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1987149
2 198563
3 199159
4 200445
5
Effects of vaccines on the canine immune system.
198937
6
Factors affecting the infectivity of lymphocytes from cattle with bovine leukosis virus.
198424
7
Persistent papillomatosis associated with immunodeficiency.
197524
8 200219
9 200415
10 198715
11 198714
12 198711
13
Detection of bovine viral diarrhea virus genome in leukocytes from persistently infected cattle by RNA-cDNA hybridization.
19907
14
Bovine fetal inoculations with calf rotavirus.
19795
15 19895
16
Immunologic and virologic studies on bovine leukosis
19864
17 19713
18
Recombinant vaccine technology
20022
19 20091
20 19701

About R.D. Schultz

R.D. Schultz is a scholar working on Immunology, Microbiology, Infectious Diseases, Animal Science and Zoology and Epidemiology, having authored 20 papers that have together received 503 indexed citations. Recurring topics across this work include Microbial infections and disease research (5 papers), T-cell and Retrovirus Studies (4 papers), Herpesvirus Infections and Treatments (3 papers), Animal Disease Management and Epidemiology (3 papers), Immune Response and Inflammation (3 papers), Animal Virus Infections Studies (3 papers), T-cell and B-cell Immunology (2 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Microbiology (121 citations), Biotechnology (122 citations), Agronomy and Crop Science (104 citations), Immunology (145 citations) and Food Science (113 citations). R.D. Schultz has collaborated with scholars based in United States, Russia and Belgium. Frequent co-authors include Michael P. Doyle, Kathleen A. Glass, J T Beery, T R Phillips, Nancy C. Hinkle, Wei Yang, Charles J. Czuprynski, Fábio Pereira Leivas Leite, Patricia Sharp and C. B. Thomas. Their work appears in journals such as Veterinary Immunology and Immunopathology, American Journal of Veterinary Research, Journal of Clinical Microbiology, Oncology and Animal Health Research Reviews.

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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