Kacy Redd

11 papers receiving 310 citations

Peers

Kacy Redd
Comparison fields: 5 of 85
  • Behavioral Neuroscience 48
  • Developmental Neuroscience 55
  • Cellular and Molecular Neuroscience 110
  • Neurology 49
  • Complementary and alternative medicine 43
Replace Francisco Tomás Gallo with:
Francisco Tomás Gallo Argentina
Jorge Bergado-Rosado Cuba
Ramon Hypólito Lima Brazil
Gabriele Sansevero Italy
Sraboni Chaudhury United States
Donald K. Ingram United States
Brittany L. Aguilar United States
Evellyn Claudia Wietzikoski Brazil
Jeong-Tae Kwon South Korea
Kacy Redd relative to Francisco Tomás Gallo Argentina Francisco Tomás Gallo's profile →
Citations per field
00.5×4.3×
Francisco Tomás Gallo · 1×
Citations per year

Countries citing papers authored by Kacy Redd

Since Specialization
Citations

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

Fields of papers citing papers by Kacy Redd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2001155
2 200259
3 200733
4 201730
5 200215
6 20178
7 20178
8
Strengthening Pathways to Faculty Careers in STEM : Recommendations for Systemic Change to Support Underrepresented Groups
20207
9 20143
10 20172
11 20241
12
Utah State University Report
19900

About Kacy Redd

Kacy Redd is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Media Technology, Education and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 321 indexed citations. Recurring topics across this work include Innovative Teaching Methods (3 papers), Experimental Learning in Engineering (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Ion channel regulation and function (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Biomedical and Engineering Education (2 papers), Educational Strategies and Epistemologies (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Behavioral Neuroscience (48 citations), Developmental Neuroscience (55 citations), Cellular and Molecular Neuroscience (110 citations), Neurology (49 citations) and Complementary and alternative medicine (43 citations). Kacy Redd has collaborated with scholars based in United States and Belgium. Frequent co-authors include John G. McCoy, Christopher P. Ward, Yuan Luo, Stan A. Kuczaj, Yuan Luo, Gareth R. Tibbs, Jay Yang, Noah D. Finkelstein, Erin L. Dolan and Shirley Malcom. Their work appears in journals such as Science and Engineering Ethics, International Journal of Research in Undergraduate Mathematics Education, Journal of Engineering Education, Pharmacology Biochemistry and Behavior and Physiology & Behavior.

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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