Dina Simkin

1.2k citations
28 papers · 871 · h-index 16

Impact in

Papers in

Dina Simkin

28 papers receiving 857 citations

Peers

Dina Simkin
Comparison fields: 5 of 114
  • Sensory Systems 138
  • Cellular and Molecular Neuroscience 279
  • Acoustics and Ultrasonics 6
  • Neurology 51
  • Aging 10
Replace Paweł Pomorski with:
Paweł Pomorski Poland
Haruhisa Okawa United States
Jiaxin Gong China
Paola Gavazzo Italy
Tao Jiang China
David Ogden France
Yanrui Yang China
Mario Pellegrino Italy
Sujit Kumar Sikdar India
Prafulla Aryal United Kingdom
Dina Simkin relative to Paweł Pomorski Poland Paweł Pomorski's profile →
Citations per field
00.5×1.5×
Paweł Pomorski · 1×
Citations per year

Countries citing papers authored by Dina Simkin

Since Specialization
Citations

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

Fields of papers citing papers by Dina Simkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987110
2 201885
3 200880
4 201577
5 200870
6 200855
7 201652
8 197845
9 202236
10 199135
11 202126
12 201824
13 201823
14 201122
15 200917
16 202216
17 202214
18 200614
19 201813
20 201112

About Dina Simkin

Dina Simkin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Genetics and Materials Chemistry, having authored 28 papers that have together received 871 indexed citations. Recurring topics across this work include Ion channel regulation and function (9 papers), Neuroscience and Neuropharmacology Research (7 papers), Cardiac electrophysiology and arrhythmias (5 papers), Genetics and Neurodevelopmental Disorders (3 papers), Pluripotent Stem Cells Research (3 papers), Postharvest Quality and Shelf Life Management (2 papers), Neuroscience and Neural Engineering (2 papers) and Supramolecular Self-Assembly in Materials (2 papers). The work is most often cited by research in Sensory Systems (138 citations), Cellular and Molecular Neuroscience (279 citations), Acoustics and Ultrasonics (6 citations), Neurology (51 citations) and Aging (10 citations). Dina Simkin has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Eric J. Cavanaugh, Donghee Kim, Evangelos Kiskinis, Michelle S. Malcuit, Jeffery J. Maki, M. Matthew Oh, John F. Disterhoft, Zaida Álvarez, Samuel I. Stupp and Stacey M. Chin. Their work appears in journals such as The Journal of Physiology, American Journal of Physiology-Cell Physiology, Biological Psychiatry, Endocrinology and Journal of 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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