Leora Yetnikoff

593 citations
15 papers · 421 · h-index 12

Impact in

Papers in

Leora Yetnikoff

14 papers receiving 419 citations

Peers

Leora Yetnikoff
Comparison fields: 5 of 49
  • Cellular and Molecular Neuroscience 327
  • Developmental Neuroscience 63
  • Biological Psychiatry 19
  • Behavioral Neuroscience 26
  • Cognitive Neuroscience 136
Replace Élise Morice with:
Élise Morice France
Sylvia Badurek United Kingdom
Elizabeth E. Manning Australia
Ananya Chowdhury United States
Federica Filice Switzerland
Vera Kiyasova France
Michelle R. Breier United States
Carlos Gonzalez‐Islas United States
Manuela Scali Italy
Angélica Minier-Toribio United States
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Citations per field
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Citations per year

Countries citing papers authored by Leora Yetnikoff

Since Specialization
Citations

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

Fields of papers citing papers by Leora Yetnikoff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201581
2 201656
3 201843
4 201836
5 200734
6 201030
7 202128
8 201327
9 201325
10 201123
11 201314
12 202311
13 20138
14 20055
15 20240

About Leora Yetnikoff

Leora Yetnikoff is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Endocrinology, Diabetes and Metabolism and Developmental Neuroscience, having authored 15 papers that have together received 421 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (10 papers), Neurotransmitter Receptor Influence on Behavior (9 papers), Memory and Neural Mechanisms (3 papers), Receptor Mechanisms and Signaling (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Neural dynamics and brain function (2 papers) and Neurogenesis and neuroplasticity mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (327 citations), Developmental Neuroscience (63 citations), Biological Psychiatry (19 citations), Behavioral Neuroscience (26 citations) and Cognitive Neuroscience (136 citations). Leora Yetnikoff has collaborated with scholars based in United States, Canada and Russia. Frequent co-authors include Cecilia Flores, Daniel S. Zahm, Andreas Arvanitogiannis, Susana Mingote, Stephen Rayport, Nao Chuhma, Abigail Kalmbach, Cassandre Labelle‐Dumais, Matthew Pokinko and Samira Ztaou. Their work appears in journals such as The Journal of Comparative Neurology, European Journal of Neuroscience, Brain Structure and Function, Psychopharmacology and Behavioral 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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