Benjamin Kolisnyk

834 citations
15 papers · 593 · h-index 11

Impact in

Papers in

Benjamin Kolisnyk

13 papers receiving 585 citations

Peers

Benjamin Kolisnyk
Comparison fields: 5 of 78
  • Aging 34
  • Cellular and Molecular Neuroscience 241
  • Neurology 88
  • Developmental Neuroscience 29
  • Cognitive Neuroscience 129
Replace Binu Ramachandran with:
Binu Ramachandran Germany
Francesco Longo United States
Manuel F. López‐Aranda Spain
Emanuele Brai Switzerland
Román Olivares Spain
Chisato Kinoshita Japan
Juan Carlos del Río Spain
Marian Marvin United States
Arnaldo Parra‐Damas Spain
Chelsea Cavanagh Canada
Benjamin Kolisnyk relative to Binu Ramachandran Germany Binu Ramachandran's profile →
Citations per field
00.5×1.5×1.8×
Binu Ramachandran · 1×
Citations per year

Countries citing papers authored by Benjamin Kolisnyk

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Kolisnyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2019124
2 2013102
3 201398
4 201353
5 201645
6 201638
7 201933
8 201625
9 202421
10 201521
11 202416
12 20159
13 20178
14 20150
15 20160

About Benjamin Kolisnyk

Benjamin Kolisnyk is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Neurology and Ecology, Evolution, Behavior and Systematics, having authored 15 papers that have together received 593 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Receptor Mechanisms and Signaling (3 papers), Nicotinic Acetylcholine Receptors Study (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Memory and Neural Mechanisms (2 papers), Alzheimer's disease research and treatments (1 paper), Computational Drug Discovery Methods (1 paper) and Neuropeptides and Animal Physiology (1 paper). The work is most often cited by research in Aging (34 citations), Cellular and Molecular Neuroscience (241 citations), Neurology (88 citations), Developmental Neuroscience (29 citations) and Cognitive Neuroscience (129 citations). Benjamin Kolisnyk has collaborated with scholars based in Canada, United States and Israel. Frequent co-authors include Marco A. M. Prado, Vânia F. Prado, Robert Gros, Ashbeel Roy, Mohammed Al‐Onaizi, Markus Rießland, Jue Fan, Hermona Soreq, Ana C. Magalhães and Guoping Feng. Their work appears in journals such as Journal of Neuroscience, Cerebral Cortex, Disease Models & Mechanisms, Biochemical Journal and Cell stem cell.

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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