Eric S. Sweet

1.1k citations
15 papers · 846 · h-index 12

Impact in

Papers in

Eric S. Sweet

15 papers receiving 833 citations

Peers

Eric S. Sweet
Comparison fields: 5 of 94
  • Developmental Neuroscience 92
  • Neurology 179
  • Cellular and Molecular Neuroscience 261
  • Biological Psychiatry 27
  • Behavioral Neuroscience 30
Replace Hiroshi Udo with:
Hiroshi Udo Japan
Stefano Musardo Italy
Candace D. Castagna United States
Manuel F. López‐Aranda Spain
Sin‐Jhong Cheng Taiwan
Parizad M. Bilimoria United States
Kai Diederich Germany
Amor Belmeguenaï France
Daniel Hugo Mascó Argentina
Daniel Knowland United States
Eric S. Sweet relative to Hiroshi Udo Japan Hiroshi Udo's profile →
Citations per field
00.5×2×3×3.5×
Hiroshi Udo · 1×
Citations per year

Countries citing papers authored by Eric S. Sweet

Since Specialization
Citations

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

Fields of papers citing papers by Eric S. Sweet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric S. Sweet. 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 Eric S. Sweet. The network helps show where Eric S. Sweet may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2019158
2 2014155
3 2010115
4 2016113
5 201972
6 200859
7 201554
8 201142
9 201023
10 201120
11 201814
12 198213
13 20135
14 20082
15 20221

About Eric S. Sweet

Eric S. Sweet is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Cell Biology, Molecular Biology and Cognitive Neuroscience, having authored 15 papers that have together received 846 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Neuroscience and Neuropharmacology Research (3 papers), 14-3-3 protein interactions (2 papers), Cellular Mechanics and Interactions (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Signaling Pathways in Disease (2 papers) and Cannabis and Cannabinoid Research (1 paper). The work is most often cited by research in Developmental Neuroscience (92 citations), Neurology (179 citations), Cellular and Molecular Neuroscience (261 citations), Biological Psychiatry (27 citations) and Behavioral Neuroscience (30 citations). Eric S. Sweet has collaborated with scholars based in United States, Netherlands and Ukraine. Frequent co-authors include Robert D. Blitzer, Bonnie L. Firestein, Michelle L. Previtera, Reto Bisaz, Alessio Travaglia, Cristina M. Alberini, Zhenyu Yue, Christopher G. Langhammer, Henrietta Szutorisz and Jennifer A. DiNieri. Their work appears in journals such as Journal of Neuroscience, The Journal of Experimental Medicine, Nature Neuroscience, Molecular and Cellular Neuroscience and Molecular Neurodegeneration.

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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