Diana Jerusalinsky

2.6k citations
64 papers · 2.2k · h-index 26

Impact in

Papers in

Diana Jerusalinsky

63 papers receiving 2.2k citations

Peers

Diana Jerusalinsky
Comparison fields: 5 of 103
  • Cellular and Molecular Neuroscience 1.3k
  • Behavioral Neuroscience 187
  • Biological Psychiatry 102
  • Cognitive Neuroscience 772
  • Developmental Neuroscience 136
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Edda Thiels United States
Tadeu Mello e Souza Brazil
Lawrence D. Middaugh United States
Niels Plath Denmark
Tsvetkov Ea United States
Luiz R.G. Britto Brazil
Katsunori Kobayashi Japan
Shelley J. Russek United States
Aleš Stuchlı́k Czechia
Michel Vignes France
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Citations per field
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Citations per year

Countries citing papers authored by Diana Jerusalinsky

Since Specialization
Citations

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

Fields of papers citing papers by Diana Jerusalinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992338
2 1992144
3 2010138
4 1997117
5 199595
6 201887
7 199473
8 199465
9 199862
10 202155
11 201350
12 200050
13 199549
14 199546
15 200643
16 200242
17 199140
18 199340
19 201440
20 199538

About Diana Jerusalinsky

Diana Jerusalinsky is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cognitive Neuroscience, Developmental Neuroscience and Genetics, having authored 64 papers that have together received 2.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (38 papers), Receptor Mechanisms and Signaling (25 papers), Memory and Neural Mechanisms (22 papers), Nicotinic Acetylcholine Receptors Study (15 papers), Ion channel regulation and function (11 papers), Neuropeptides and Animal Physiology (6 papers), Cholinesterase and Neurodegenerative Diseases (6 papers) and Neurogenesis and neuroplasticity mechanisms (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Behavioral Neuroscience (187 citations), Biological Psychiatry (102 citations), Cognitive Neuroscience (772 citations) and Developmental Neuroscience (136 citations). Diana Jerusalinsky has collaborated with scholars based in Argentina, Brazil and Uruguay. Frequent co-authors include Iván Izquierdo, Jorge H. Medina, Edgar Kornisiuk, Maria Beatriz Cardoso Ferreira, Cláudio Da Cunha, Alan L. Harvey, Jorge Alberto Quillfeldt, Renata Menezes Rosat, Carlos Červeñanský and María Verónica Báez. Their work appears in journals such as Brain Research, Neurochemical Research, Toxicon, Journal of Neurochemistry and Life Sciences.

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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