Kimberly A. Burton

2.9k citations
21 papers · 2.1k indexed · 1 hit paper · h-index 16

Kimberly A. Burton

21 papers receiving 2.1k citations

Hit Papers

Reduced sodium current in GABAergic interneurons in a mou...8232006202620122019250500750

Peers

Kimberly A. Burton
Comparison fields: 5 of 93
  • Cellular and Molecular Neuroscience 794
  • Reproductive Medicine 367
  • Psychiatry and Mental health 506
  • Endocrine and Autonomic Systems 169
  • Genetics 400
Replace Zsolt Csaba with:
Zsolt Csaba France
Sébastien Marion United States
Karin Lykke‐Hartmann Denmark
Pascal Dournaud France
Zhizhen Zeng United States
Carlos Río United States
Hagit Shapira Israel
M. Galbiati Italy
Florence Tang Hong Kong
Norah Defamie France
Kimberly A. Burton relative to Zsolt Csaba France Zsolt Csaba's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kimberly A. Burton

Since Specialization
Citations

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

Fields of papers citing papers by Kimberly A. Burton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kimberly A. Burton. 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 Kimberly A. Burton. The network helps show where Kimberly A. Burton may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20181
2 20172
3 20172
4 2016109
5 20163
6 200946
7 200773
8 200650
9
Reduced sodium current in GABAergic interneurons in a mouse model of severe myoclonic epilepsy in infancybreakdown →
2006823
10 20059
11 2004210
12 2002116
13 200022
14 200056
15 199636
16 1995180
17 199537
18 199430
19 199255
20 1992127

About Kimberly A. Burton

Kimberly A. Burton is a scholar working on Reproductive Medicine, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 2.1k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Reproductive Biology and Fertility (4 papers), Sperm and Testicular Function (4 papers), Cancer Genomics and Diagnostics (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Ion channel regulation and function (3 papers), Neuropeptides and Animal Physiology (3 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (794 citations), Reproductive Medicine (367 citations) and Psychiatry and Mental health (506 citations). Kimberly A. Burton has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include G. Stanley McKnight, William A. Catterall, Ruth E. Westenbroek, Todd Scheuer, Franck Kalume, Frank H. Yu, Carol A. Robbins, William J. Spain, Massimo Mantegazza and Robert A. Steiner. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Nature Neuroscience.

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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