E. Keller

411 citations
13 papers · 372 · h-index 7

Impact in

Papers in

E. Keller

13 papers receiving 355 citations

Peers

E. Keller
Comparison fields: 5 of 67
  • Reproductive Medicine 85
  • Genetics 49
  • Endocrinology, Diabetes and Metabolism 49
  • Developmental Neuroscience 12
  • Cellular and Molecular Neuroscience 45
Replace Maria Lucia Scaldaferri with:
Maria Lucia Scaldaferri Italy
Blandine Esteva France
Mohamad Zubair Japan
Naoko Tsukamoto Japan
Cecilia Martin United States
Kirsi Vaaralahti Finland
Şehime Gülsün Temel Türkiye
Doreen Zegers Belgium
M.B. Nikitovitch-Winer United States
Rita Mitra India
E. Keller relative to Maria Lucia Scaldaferri Italy Maria Lucia Scaldaferri's profile →
Citations per field
00.5×
Maria Lucia Scaldaferri · 1×
Citations per year

Countries citing papers authored by E. Keller

Since Specialization
Citations

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

Fields of papers citing papers by E. Keller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2013108
2 201565
3 201457
4 199450
5 200941
6
Regional effects of ethanol on glutamate levels, uptake and release in slice and synaptosome preparations from rat brain.
198318
7 19789
8 20136
9 19806
10 19965
11 19803
12 19832
13 19812

About E. Keller

E. Keller is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Plant Science and Cognitive Neuroscience, having authored 13 papers that have together received 372 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (3 papers), Neuroscience and Neural Engineering (2 papers), Ion channel regulation and function (2 papers), Ovarian function and disorders (2 papers), Plant and Biological Electrophysiology Studies (2 papers), Neural dynamics and brain function (2 papers), Reproductive Biology and Fertility (2 papers) and Meat and Animal Product Quality (1 paper). The work is most often cited by research in Reproductive Medicine (85 citations), Genetics (49 citations), Endocrinology, Diabetes and Metabolism (49 citations), Developmental Neuroscience (12 citations) and Cellular and Molecular Neuroscience (45 citations). E. Keller has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Daniel A. Dumesic, Gregorio D. Chazenbalk, Itzhak Nussinovitch, Xinmin Li, Saleh Heneidi, J.T. Cummins, David H. Abbott, Anthony Pease, Vasantha Padmanabhan and Rodolfo C. Cardoso. Their work appears in journals such as Endocrinology, PLoS ONE, The Journal of Clinical Endocrinology & Metabolism, Journal of Neurochemistry and Brain Research.

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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