Kyle C. Kern

19 papers receiving 837 citations

Peers

Kyle C. Kern
Comparison fields: 5 of 85
  • Developmental Neuroscience 143
  • Pathology and Forensic Medicine 454
  • Neurology 191
  • Biological Psychiatry 43
  • Behavioral Neuroscience 40
Replace Giorgia Mataluni with:
Giorgia Mataluni Italy
Sindhuja Tirumalai Govindarajan United States
Isabel Klusman Switzerland
J. S. Kim South Korea
G Lenzi Italy
Elisabeth Solana Spain
János Tajti Hungary
Shona Clegg United Kingdom
Gabriel González‐Escamilla Germany
Matthew L. Kelso United States
Kyle C. Kern relative to Giorgia Mataluni Italy Giorgia Mataluni's profile →
Citations per field
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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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008308
2 1989112
3 2010104
4 201058
5 201253
6 201448
7 201141
8 201730
9 199126
10 200820
11 202214
12 201911
13 20215
14 20234
15 20104
16 20234
17 20243
18 20241
19 20231
20 20250

About Kyle C. Kern

Kyle C. Kern is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine, Epidemiology and Developmental Neuroscience, having authored 21 papers that have together received 847 indexed citations. Recurring topics across this work include Cerebrovascular and Carotid Artery Diseases (8 papers), Advanced Neuroimaging Techniques and Applications (6 papers), Multiple Sclerosis Research Studies (6 papers), Acute Ischemic Stroke Management (5 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Neuropeptides and Animal Physiology (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Cardiovascular Health and Disease Prevention (2 papers). The work is most often cited by research in Developmental Neuroscience (143 citations), Pathology and Forensic Medicine (454 citations), Neurology (191 citations), Biological Psychiatry (43 citations) and Behavioral Neuroscience (40 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, James C. Thompson and Yow‐Jiun Jeng. Their work appears in journals such as NeuroImage Clinical, Endocrinology, NeuroImage, Annals of Neurology and Biological Psychiatry.

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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