Danielle Sambo

649 citations
13 papers · 459 indexed · h-index 9

Impact in

Papers in

    • Nicotinic Acetylcholine Receptors Study 3
    • Pluripotent Stem Cells Research 3
    • CRISPR and Genetic Engineering 3
    • Receptor Mechanisms and Signaling 3
    • Pharmacological Receptor Mechanisms and Effects 3
    • Neurotransmitter Receptor Influence on Behavior 3

Danielle Sambo

13 papers receiving 454 citations

Peers

Danielle Sambo
Comparison fields: 5 of 76
  • Biological Psychiatry 59
  • Cellular and Molecular Neuroscience 207
  • Neurology 129
  • Neurology 56
  • Aging 5
Replace Joseph J. Lebowitz with:
Joseph J. Lebowitz United States
Geneviève Beauvais United States
Min Lin United States
Emmanouela Kallergi Greece
Lee Marshall United States
Lauriane Ramet Canada
Brittany Butler United States
Christiane Reick Germany
Elizabeth L. Clore United States
Edwin Vázquez‐Rosa United States
Danielle Sambo relative to Joseph J. Lebowitz United States Joseph J. Lebowitz's profile →
Citations per field
00.5×1.5×2.4×
Joseph J. Lebowitz · 1×
Citations per year

Countries citing papers authored by Danielle Sambo

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Sambo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201594
2 201787
3 201858
4 201652
5 201651
6 202041
7 201436
8 201817
9 201811
10 20197
11 20192
12 20172
13 20171

About Danielle Sambo

Danielle Sambo is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Biomedical Engineering and Infectious Diseases, having authored 13 papers that have together received 459 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (3 papers), Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (3 papers), Receptor Mechanisms and Signaling (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Neurological disorders and treatments (2 papers). The work is most often cited by research in Biological Psychiatry (59 citations), Cellular and Molecular Neuroscience (207 citations), Neurology (129 citations), Neurology (56 citations) and Aging (5 citations). Danielle Sambo has collaborated with scholars based in United States and India. Frequent co-authors include Habibeh Khoshbouei, Brittany Butler, Joseph J. Lebowitz, Min Lin, Kaustuv Saha, Jonas P. Becker, J. Shawn Goodwin, Tanu Rana, B. D. Richardson and Marcelo Febo. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience, The FASEB Journal, Journal of Visualized Experiments and Nature Communications.

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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