Stephen M. Schmitt

3.4k citations
74 papers · 2.6k indexed · h-index 26

Stephen M. Schmitt

73 papers receiving 2.5k citations

Peers

Stephen M. Schmitt
Comparison fields: 5 of 148
  • Infectious Diseases 1.3k
  • Microbiology 377
  • Agronomy and Crop Science 591
  • Microbiology 34
  • Orthodontics 148
Replace F. Weiland with:
F. Weiland Germany
Michael R. Cranfield United States
James Chodosh United States
Lluís Luján Spain
Matthias Krämer Germany
Tamaki Okabayashi Japan
Javier Guitián United Kingdom
Jens P. Teifke Germany
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Calvin M. Johnson United States
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Citations per year

Countries citing papers authored by Stephen M. Schmitt

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Schmitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Schmitt. 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 Stephen M. Schmitt. The network helps show where Stephen M. Schmitt may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201615
2
Grenzpotenziale der CO2-Emissionen von Ottomotoren. Teil 1: Mechanische Verfahren. Teil 2: Entwicklung der Brennverfahren
20120
3 201165
4 201147
5 20094
6 200924
7 200817
8 200710
9
Bovine tuberculosis in Michigan: The work on the wildlife side
20041
10 20043
11 200215
12 200297
13 2002166
14
Ecology of meningeal worm, Parelaphostrongylus tenuis (Nematoda), in white-tailed deer and terrestrial gastropods of Michigan's Upper Peninsula with implications for moose.
200010
15 199991
16 19957
17 19921
18 19893
19
IMMOBILIZATION OF MOOSE BY CARFENTANIL AND XYLAZINE AND REVERSAL BY NALTREXONE, A LONG-ACTING ANTAGONIST
19879
20 198522

About Stephen M. Schmitt

Stephen M. Schmitt is a scholar working on Microbiology, Microbiology and Infectious Diseases, having authored 74 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (26 papers), Tuberculosis Research and Epidemiology (24 papers), Microbial infections and disease research (12 papers), Animal Disease Management and Epidemiology (11 papers), Infectious Diseases and Tuberculosis (6 papers), Viral Infections and Vectors (4 papers), Indoor and Outdoor Localization Technologies (4 papers) and Wildlife Ecology and Conservation (4 papers). The work is most often cited by research in Infectious Diseases (1.3k citations), Microbiology (377 citations) and Agronomy and Crop Science (591 citations). Stephen M. Schmitt has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Daniel J. O’Brien, Scott D. Fitzgerald, Dale E. Berry, Thomas M. Cooley, Qingbin Liu, Ming C. Leu, Colleen S. Bruning-Fann, Janet B. Payeur, Geoffrey W. de Lisle and Jean S. Fierke. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Neurophysiology and Annals of the New York Academy of Sciences.

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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