Danette Pascarella

916 citations
6 papers · 528 · h-index 6

Impact in

Papers in

Danette Pascarella

6 papers receiving 513 citations

Peers

Danette Pascarella
Comparison fields: 5 of 58
  • Biological Psychiatry 70
  • Cellular and Molecular Neuroscience 354
  • Biochemistry 118
  • Molecular Biology 341
  • Clinical Biochemistry 31
Replace David M. Otte with:
David M. Otte Germany
Tatsuya Kotaka Japan
Gauri H. Malthankar‐Phatak United States
Shirly Amar Israel
Linda M. Pullan United States
Mayako Yamazaki Japan
Michael Popiolek United States
Václav Lisý Czechia
Sarah L. Huszar United States
Berthold Behl Germany
Danette Pascarella relative to David M. Otte Germany David M. Otte's profile →
Citations per field
00.5×1.5×1.9×
David M. Otte · 1×
Citations per year

Countries citing papers authored by Danette Pascarella

Since Specialization
Citations

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

Fields of papers citing papers by Danette Pascarella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2003242
2 2002111
3 200873
4 200863
5 201024
6 201615

About Danette Pascarella

Danette Pascarella is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Biochemistry, Biological Psychiatry and Reproductive Medicine, having authored 6 papers that have together received 528 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Epigenetics and DNA Methylation (2 papers), Neuropeptides and Animal Physiology (2 papers), Tryptophan and brain disorders (2 papers), Hypothalamic control of reproductive hormones (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). The work is most often cited by research in Biological Psychiatry (70 citations), Cellular and Molecular Neuroscience (354 citations), Biochemistry (118 citations), Molecular Biology (341 citations) and Clinical Biochemistry (31 citations). Danette Pascarella has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Marlene A. Jacobson, Jacinta B. Williams, Douglas J. Pettibone, Pierre Mallorga, Cyrille Sur, P. Jeffrey Conn, Marion Wittmann, Philip E. Brandish, Edward M. Scolnick and Zhizhen Zeng. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Molecular Pharmacology, ACS Chemical Biology, Proceedings of the National Academy of Sciences and Bioorganic & Medicinal Chemistry Letters.

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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