Leora Yetnikoff

602 citations
15 papers · 435 · h-index 12

Impact in

Papers in

Leora Yetnikoff

15 papers receiving 433 citations

Peers

Leora Yetnikoff
Comparison fields: 5 of 49
  • Cellular and Molecular Neuroscience 320
  • Developmental Neuroscience 55
  • Biological Psychiatry 18
  • Behavioral Neuroscience 25
  • Cognitive Neuroscience 126
Replace Ananya Chowdhury with:
Ananya Chowdhury Switzerland
Elizabeth E. Manning Australia
Isabella Garcia United States
Shu-Xia Cao China
Federica Filice Switzerland
Vera Kiyasova France
Susumu Jitsuki Japan
Kirsten P. Lenzen Germany
Lital Abraham Israel
Anni S. Lee United States
Leora Yetnikoff relative to Ananya Chowdhury Switzerland Ananya Chowdhury's profile →
Citations per field
00.5×1.5×
Ananya Chowdhury · 1×
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 201584
2 201657
3 201844
4 201840
5 200734
6 201031
7 202128
8 201327
9 201125
10 201325
11 201314
12 202312
13 20138
14 20055
15 20241

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 435 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (8 papers), Neurotransmitter Receptor Influence on Behavior (8 papers), Axon Guidance and Neuronal Signaling (3 papers), Memory and Neural Mechanisms (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Receptor Mechanisms and Signaling (2 papers) and Neural dynamics and brain function (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (320 citations), Developmental Neuroscience (55 citations), Biological Psychiatry (18 citations), Behavioral Neuroscience (25 citations) and Cognitive Neuroscience (126 citations). Leora Yetnikoff has collaborated with scholars based in United States, Canada and Spain. Frequent co-authors include Cecilia Flores, Daniel S. Zahm, Andreas Arvanitogiannis, Susana Mingote, Nao Chuhma, Stephen Rayport, Abigail Kalmbach, Cassandre Labelle‐Dumais, Matthew Pokinko and Samira Ztaou. Their work appears in journals such as Psychopharmacology, The Journal of Comparative Neurology, European Journal of Neuroscience, Brain Structure and Function and eLife.

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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