Kyle Smoot

505 citations
23 papers · 328 · h-index 8

Impact in

Papers in

    • Multiple Sclerosis Research Studies 10
    • Systemic Sclerosis and Related Diseases 1
    • Peripheral Neuropathies and Disorders 3
    • Parkinson's Disease Mechanisms and Treatments 2

Kyle Smoot

22 papers receiving 318 citations

Peers

Kyle Smoot
Comparison fields: 5 of 56
  • Developmental Neuroscience 39
  • Pathology and Forensic Medicine 144
  • Cellular and Molecular Neuroscience 99
  • Neurology 70
  • Oncology 43
Replace Jürgen A. Hampl with:
Jürgen A. Hampl Germany
Hai Jin China
Arzu Çoban Türkiye
Douglas Landsman United States
Teemu Paavilainen Finland
Ami V. Patel United States
Inge Huitinga Netherlands
Uday Murgod India
Heloísa Helena Ruocco Brazil
Kyle Smoot relative to Jürgen A. Hampl Germany Jürgen A. Hampl's profile →
Citations per field
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Jürgen A. Hampl · 1×
Citations per year

Countries citing papers authored by Kyle Smoot

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Smoot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kyle Smoot. 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 Kyle Smoot. The network helps show where Kyle Smoot may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997113
2 201843
3 202042
4 202028
5 202122
6 201720
7 201611
8 20128
9 20156
10 20196
11 20185
12 20214
13 20074
14 20234
15 20193
16 20242
17 20242
18 20211
19 20211
20 20211

About Kyle Smoot

Kyle Smoot is a scholar working on Pathology and Forensic Medicine, Neurology, Oncology, Rheumatology and Plant Science, having authored 23 papers that have together received 328 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (10 papers), Polyomavirus and related diseases (6 papers), Peripheral Neuropathies and Disorders (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Systemic Sclerosis and Related Diseases (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Developmental Neuroscience (39 citations), Pathology and Forensic Medicine (144 citations), Cellular and Molecular Neuroscience (99 citations), Neurology (70 citations) and Oncology (43 citations). Kyle Smoot has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Wayne A. Cass, Don M. Gash, Richard Kryscio, Stanley Cohan, Elisabeth B. Lucassen, Pavle Repovic, Jonathan Calkwood, Monica Mann, Jason P. Mendoza and Leslie Meltzer. Their work appears in journals such as Neurology, Advances in Therapy, Multiple Sclerosis and Related Disorders, Multiple Sclerosis Journal and CNS Drugs.

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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