Natalie C. Fredette

23 total papers · 733 total citations
16 papers, 575 citations indexed

About

Natalie C. Fredette is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Physiology. According to data from OpenAlex, Natalie C. Fredette has authored 16 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Physiology. Recurrent topics in Natalie C. Fredette's work include Estrogen and related hormone effects (10 papers), Hormonal Regulation and Hypertension (7 papers) and Nitric Oxide and Endothelin Effects (5 papers). Natalie C. Fredette is often cited by papers focused on Estrogen and related hormone effects (10 papers), Hormonal Regulation and Hypertension (7 papers) and Nitric Oxide and Endothelin Effects (5 papers). Natalie C. Fredette collaborates with scholars based in United States, Switzerland and China. Natalie C. Fredette's co-authors include Eric R. Prossnitz, Matthias R. Meyer, Matthias Barton, Kerstin Amann, Jeffrey B. Arterburn, Christoph Daniel, Tamara Howard, Chinnasamy Ramesh, Chelin Hu and Naohiro Terada and has published in prestigious journals such as PLoS ONE, Scientific Reports and The FASEB Journal.

In The Last Decade

Natalie C. Fredette

16 papers receiving 571 citations

Author Peers

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

Author Last Decade Papers Cites
Natalie C. Fredette 267 199 188 109 109 16 575
Z Rymaszewski 135 0.5× 212 1.1× 173 0.9× 60 0.6× 87 0.8× 28 642
Kai Hu 188 0.7× 252 1.3× 181 1.0× 238 2.2× 61 0.6× 16 615
Yoshiyuki Sakai 155 0.6× 253 1.3× 326 1.7× 130 1.2× 121 1.1× 14 633
Erin A. Booth 126 0.5× 119 0.6× 166 0.9× 144 1.3× 56 0.5× 16 616
Martina Delbeck 160 0.6× 238 1.2× 347 1.8× 165 1.5× 49 0.4× 14 649
Shin-ichi Gorogawa 128 0.5× 196 1.0× 170 0.9× 107 1.0× 78 0.7× 11 583
Yoichi Hamada 178 0.7× 175 0.9× 274 1.5× 200 1.8× 175 1.6× 19 669
Agnieszka Klimek‐Abercrombie 186 0.7× 242 1.2× 177 0.9× 68 0.6× 130 1.2× 14 597
Felicia Ranta 134 0.5× 305 1.5× 189 1.0× 57 0.5× 94 0.9× 12 630
F. Ichikawa 198 0.7× 261 1.3× 164 0.9× 41 0.4× 203 1.9× 11 640

Countries citing papers authored by Natalie C. Fredette

Since Specialization
Citations

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

Fields of papers citing papers by Natalie C. Fredette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalie C. Fredette. 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 Natalie C. Fredette. The network helps show where Natalie C. Fredette may publish in the future.

Co-authorship network of co-authors of Natalie C. Fredette

This figure shows the co-authorship network connecting the top 25 collaborators of Natalie C. Fredette. A scholar is included among the top collaborators of Natalie C. Fredette 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 Natalie C. Fredette. Natalie C. Fredette 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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