Kyle C. Kern

20 papers receiving 853 citations

Peers

Kyle C. Kern
Comparison fields: 5 of 81
  • Developmental Neuroscience 101
  • Pathology and Forensic Medicine 425
  • Neurology 149
  • Biological Psychiatry 33
  • Behavioral Neuroscience 28
Replace Giorgia Mataluni with:
Giorgia Mataluni Italy
Sindhuja Tirumalai Govindarajan United States
Jan Krásenský Czechia
Nina Weishaupt Canada
Isabel Klusman Switzerland
Rebecca E. Franco-Bourland Mexico
Guido Straten Germany
J. S. Kim South Korea
Hiroyuki Kida Japan
János Tajti Hungary
Kyle C. Kern relative to Giorgia Mataluni Italy Giorgia Mataluni's profile →
Citations per field
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Giorgia Mataluni · 1×
Citations per year

Countries citing papers authored by Kyle C. Kern

Since Specialization
Citations

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

Fields of papers citing papers by Kyle C. Kern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008310
2 1989112
3 2010104
4 201059
5 201254
6 201449
7 201141
8 201730
9 199126
10 200820
11 202215
12 201912
13 20238
14 20216
15 20235
16 20104
17 20244
18 20242
19 20251
20 20231

About Kyle C. Kern

Kyle C. Kern is a scholar working on Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine, Epidemiology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 863 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Acute Ischemic Stroke Management (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Neuropeptides and Animal Physiology (2 papers) and Cerebrospinal fluid and hydrocephalus (1 paper). The work is most often cited by research in Developmental Neuroscience (101 citations), Pathology and Forensic Medicine (425 citations), Neurology (149 citations), Biological Psychiatry (33 citations) and Behavioral Neuroscience (28 citations). Kyle C. Kern has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Nancy L. Sicotte, Michael Montag, Barbara S. Giesser, Susan Y. Bookheimer, Aaron P. Schultz, Stefan M. Gold, Mary‐Frances O'Connor, George H. Greeley, Yow‐Jiun Jeng and James C. Thompson. Their work appears in journals such as NeuroImage Clinical, Annals of Neurology, Endocrinology, NeuroImage and Hypertension.

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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