Mark T. Butt

2.0k citations
62 papers · 1.3k · h-index 23

Impact in

Papers in

Mark T. Butt

61 papers receiving 1.3k citations

Peers

Mark T. Butt
Comparison fields: 5 of 111
  • Small Animals 252
  • Developmental Neuroscience 73
  • Cellular and Molecular Neuroscience 289
  • Immunology 293
  • Neurology 193
Replace Christopher L. Mariani with:
Christopher L. Mariani United States
Inés Carrera United Kingdom
Laurie A. Rund United States
Petr Vodička Czechia
Jeffrey J. Bajramović Netherlands
Jin Soo Han South Korea
Shelley Hoogstraten-Miller United States
Ken‐ichi Yagami Japan
Christoph D. Schmid Switzerland
P.A.L. Wight United States
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Citations per field
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Citations per year

Countries citing papers authored by Mark T. Butt

Since Specialization
Citations

This map shows the geographic impact of Mark T. Butt'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 Mark T. Butt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark T. Butt more than expected).

Fields of papers citing papers by Mark T. Butt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark T. Butt. 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 Mark T. Butt. The network helps show where Mark T. Butt may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013125
2 201297
3 200785
4 201680
5 202251
6 201450
7 201448
8 201844
9 201137
10 201337
11 199136
12 199234
13 201032
14 201432
15 200729
16 202329
17 201627
18 201026
19 202025
20 201725

About Mark T. Butt

Mark T. Butt is a scholar working on Immunology, Cellular and Molecular Neuroscience, Small Animals, Physiology and Neurology, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immunotoxicology and immune responses (15 papers), Animal testing and alternatives (11 papers), Nerve injury and regeneration (7 papers), Neuroscience and Neuropharmacology Research (6 papers), Glycogen Storage Diseases and Myoclonus (6 papers), Pain Mechanisms and Treatments (5 papers), Lysosomal Storage Disorders Research (5 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). The work is most often cited by research in Small Animals (252 citations), Developmental Neuroscience (73 citations), Cellular and Molecular Neuroscience (289 citations), Immunology (293 citations) and Neurology (193 citations). Mark T. Butt has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Brad Bolon, Alys Bradley, Ingrid D. Pardo, Robert H. Garman, Karl F. Jensen, Robert B. Boyd, Robert C. Sills, G. Krinke, Deepa B. Rao and Ann Radovsky. Their work appears in journals such as Toxicologic Pathology, Regulatory Toxicology and Pharmacology, Toxicological Sciences, PLoS ONE and Journal of the American Veterinary Medical Association.

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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