Thad B. Stanton

53 papers receiving 3.1k citations

Thad B. Stanton's Hit Papers

In-feed antibiotic effects on the swine intestinal microbiome 2012 · 849 citations
8490+4+9Years since publication250500750

Peers

Thad B. Stanton
Comparison fields: 5 of 110
  • Small Animals 1.2k
  • Molecular Medicine 280
  • Parasitology 348
  • Pollution 488
  • Microbiology 183
Replace David P. Alt with:
David P. Alt United States
Susan Sánchez United States
Michael D. Apley United States
Darrell O. Bayles United States
Uwe Roesler Germany
Günter Klein Germany
Marja‐Liisa Hänninen Finland
Ahrar Khan Pakistan
Lieve Herman Belgium
Sylvain Quessy Canada
Thad B. Stanton relative to David P. Alt United States David P. Alt's profile →
Citations per field
00.5×1.5×
David P. Alt · 1×
Citations per year

Countries citing papers authored by Thad B. Stanton

Since Specialization
Citations

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

Fields of papers citing papers by Thad B. Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thad B. Stanton. 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 Thad B. Stanton. The network helps show where Thad B. Stanton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1
In-feed antibiotic effects on the swine intestinal microbiome
Hit paper breakdown →
2012849
2 1991231
3 1996202
4 1980155
5 199796
6 199795
7 199287
8 199182
9 199779
10 199975
11 201273
12 199871
13 201369
14 201460
15 200758
16
Intestinal spirochaetes in domestic animals and humans
199755
17 199355
18 197954
19 200550
20 199643

About Thad B. Stanton

Thad B. Stanton is a scholar working on Small Animals, Molecular Biology, Parasitology, Immunology and Epidemiology, having authored 54 papers that have together received 3.2k indexed citations. Recurring topics across this work include Veterinary medicine and infectious diseases (27 papers), Parasitic Infections and Diagnostics (11 papers), Gut microbiota and health (6 papers), Mycobacterium research and diagnosis (6 papers), Bacteriophages and microbial interactions (6 papers), Microbial infections and disease research (5 papers), Probiotics and Fermented Foods (5 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). The work is most often cited by research in Small Animals (1.2k citations), Molecular Medicine (280 citations), Parasitology (348 citations), Pollution (488 citations) and Microbiology (183 citations). Thad B. Stanton has collaborated with scholars based in United States, Australia and France. Frequent co-authors include Neil S. Jensen, Heather K. Allen, D.J. Hampson, Torey Looft, E. Canale‐Parola, Darrell O. Bayles, David P. Alt, Darren J. Trott, Tiffany M. Stedtfeld and Benli Chai. Their work appears in journals such as Applied and Environmental Microbiology, Veterinary Microbiology, Journal of Bacteriology, Journal of Clinical Microbiology and Infection and Immunity.

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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