Sadie E. Nennig

12 total papers · 456 total citations
12 papers, 348 citations indexed

About

Sadie E. Nennig is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience and Neurology. According to data from OpenAlex, Sadie E. Nennig has authored 12 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 5 papers in Behavioral Neuroscience and 4 papers in Neurology. Recurrent topics in Sadie E. Nennig's work include Neurotransmitter Receptor Influence on Behavior (6 papers), Stress Responses and Cortisol (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Sadie E. Nennig is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (6 papers), Stress Responses and Cortisol (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Sadie E. Nennig collaborates with scholars based in United States, Sweden and Denmark. Sadie E. Nennig's co-authors include Jesse R. Schank, Kejun Cheng, Kenner C. Rice, Marco Pravetoni, Federico Baruffaldi, Daniel F. Manvich, Wendy Wilson, W. Michael Caudle, Anna S. Nichenko and Jessica M. Carpenter and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Neuroscience.

In The Last Decade

Sadie E. Nennig

12 papers receiving 348 citations

Author Peers

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

Author Last Decade Papers Cites
Sadie E. Nennig 133 99 65 43 41 12 348
Anthony L. Berger 181 1.4× 86 0.9× 51 0.8× 32 0.7× 24 0.6× 12 296
Mina G. Nashed 85 0.6× 100 1.0× 39 0.6× 34 0.8× 45 1.1× 17 358
Jens Stepan 135 1.0× 105 1.1× 68 1.0× 33 0.8× 79 1.9× 14 385
Bálint Scheich 160 1.2× 137 1.4× 51 0.8× 23 0.5× 23 0.6× 18 370
Tomoya Kawamura 94 0.7× 113 1.1× 51 0.8× 55 1.3× 31 0.8× 16 324
Nilton Barreto dos Santos 60 0.5× 91 0.9× 83 1.3× 52 1.2× 59 1.4× 16 322
Nozomi Asaoka 164 1.2× 98 1.0× 50 0.8× 27 0.6× 87 2.1× 21 348
Christin Glorioso 109 0.8× 121 1.2× 26 0.4× 31 0.7× 46 1.1× 12 361
Dong Ook Seo 125 0.9× 144 1.5× 78 1.2× 37 0.9× 20 0.5× 19 385
Yuxiu Shi 114 0.9× 84 0.8× 68 1.0× 14 0.3× 38 0.9× 12 340

Countries citing papers authored by Sadie E. Nennig

Since Specialization
Citations

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

Fields of papers citing papers by Sadie E. Nennig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sadie E. Nennig. 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 Sadie E. Nennig. The network helps show where Sadie E. Nennig may publish in the future.

Co-authorship network of co-authors of Sadie E. Nennig

This figure shows the co-authorship network connecting the top 25 collaborators of Sadie E. Nennig. A scholar is included among the top collaborators of Sadie E. Nennig 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 Sadie E. Nennig. Sadie E. Nennig 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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