Nancy A. Staffend

13 total papers · 475 total citations
10 papers, 376 citations indexed

About

Nancy A. Staffend is a scholar working on Cellular and Molecular Neuroscience, Social Psychology and Molecular Biology. According to data from OpenAlex, Nancy A. Staffend has authored 10 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Social Psychology and 3 papers in Molecular Biology. Recurrent topics in Nancy A. Staffend's work include Neuroscience and Neuropharmacology Research (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Neuroendocrine regulation and behavior (5 papers). Nancy A. Staffend is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Neuroendocrine regulation and behavior (5 papers). Nancy A. Staffend collaborates with scholars based in United States. Nancy A. Staffend's co-authors include Robert L. Meisel, Kathryn M. Eisenmann, Matthew W. VanBrocklin, Han Koo, Valerie L. Hedges, Bruno Giordani, Kelly A. Ryan, Judith L. Heidebrink, Carol Persad and Nancy R. Barbas and has published in prestigious journals such as Neuroscience, Neuroscience Letters and Frontiers in Neuroendocrinology.

In The Last Decade

Nancy A. Staffend

10 papers receiving 371 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nancy A. Staffend 154 119 72 45 45 10 376
Juan J. López Costa 98 0.6× 151 1.3× 29 0.4× 55 1.2× 40 0.9× 10 361
Andrée Lessard 194 1.3× 172 1.4× 59 0.8× 44 1.0× 17 0.4× 23 429
Christian Juanéda 108 0.7× 212 1.8× 47 0.7× 52 1.2× 50 1.1× 10 353
Sang-Hyeon Lee 231 1.5× 130 1.1× 47 0.7× 57 1.3× 14 0.3× 13 431
Claudia Aguirre 129 0.8× 86 0.7× 47 0.7× 75 1.7× 22 0.5× 14 446
Carolina Chavez 60 0.4× 108 0.9× 85 1.2× 130 2.9× 34 0.8× 14 381
Thomas Geijer 142 0.9× 230 1.9× 39 0.5× 34 0.8× 65 1.4× 13 390
Amy S. Beadles-Bohling 131 0.9× 149 1.3× 34 0.5× 62 1.4× 29 0.6× 10 371
Melissa Banks 119 0.8× 176 1.5× 30 0.4× 24 0.5× 58 1.3× 17 423
Karl D. Skala 142 0.9× 96 0.8× 62 0.9× 29 0.6× 25 0.6× 15 445

Countries citing papers authored by Nancy A. Staffend

Since Specialization
Citations

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

Fields of papers citing papers by Nancy A. Staffend

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy A. Staffend. 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 Nancy A. Staffend. The network helps show where Nancy A. Staffend may publish in the future.

Co-authorship network of co-authors of Nancy A. Staffend

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy A. Staffend. A scholar is included among the top collaborators of Nancy A. Staffend based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nancy A. Staffend. Nancy A. Staffend is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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