Gipsie B. Ranney

9 total papers · 621 total citations
7 papers, 489 citations indexed

About

Gipsie B. Ranney is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism and Reproductive Medicine. According to data from OpenAlex, Gipsie B. Ranney has authored 7 papers receiving a total of 489 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Statistics and Probability, 2 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Reproductive Medicine. Recurrent topics in Gipsie B. Ranney's work include Hormonal and reproductive studies (2 papers), Ovarian function and disorders (2 papers) and Statistics Education and Methodologies (2 papers). Gipsie B. Ranney is often cited by papers focused on Hormonal and reproductive studies (2 papers), Ovarian function and disorders (2 papers) and Statistics Education and Methodologies (2 papers). Gipsie B. Ranney collaborates with scholars based in United States. Gipsie B. Ranney's co-authors include Robert A. Wild, Patricia B. Coulson, Pennell C. Painter, Richard N. Andersen, James R. Givens, Edward S. Umstot, Schuyler W. Huck, Raymond W. LaForge and David W. Cravens and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Business Research and American Journal of Obstetrics and Gynecology.

In The Last Decade

Gipsie B. Ranney

7 papers receiving 459 citations

Author Peers

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

Author Last Decade Papers Cites
Gipsie B. Ranney 402 190 184 131 40 7 489
Ingvar Ek 384 1.0× 253 1.3× 114 0.6× 112 0.9× 35 0.9× 11 513
TM Barber 375 0.9× 203 1.1× 98 0.5× 79 0.6× 56 1.4× 3 496
Tiina Dietz 339 0.8× 173 0.9× 86 0.5× 63 0.5× 59 1.5× 8 461
Débora Martinho Morsch 363 0.9× 160 0.8× 70 0.4× 79 0.6× 50 1.3× 14 478
Tasoula Tsilchorozidou 307 0.8× 174 0.9× 173 0.9× 52 0.4× 34 0.8× 12 516
Virginia Pavone 488 1.2× 300 1.6× 176 1.0× 85 0.6× 12 0.3× 13 537
Daniela Di Sarra 260 0.6× 208 1.1× 128 0.7× 65 0.5× 34 0.8× 9 412
M G Massaro 370 0.9× 220 1.2× 71 0.4× 39 0.3× 31 0.8× 8 480
Alexandra M. Manibo 263 0.7× 185 1.0× 226 1.2× 62 0.5× 26 0.7× 10 494
Fabíola Satler 211 0.5× 136 0.7× 62 0.3× 91 0.7× 83 2.1× 13 474

Countries citing papers authored by Gipsie B. Ranney

Since Specialization
Citations

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

Fields of papers citing papers by Gipsie B. Ranney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gipsie B. Ranney. 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 Gipsie B. Ranney. The network helps show where Gipsie B. Ranney may publish in the future.

Co-authorship network of co-authors of Gipsie B. Ranney

This figure shows the co-authorship network connecting the top 25 collaborators of Gipsie B. Ranney. A scholar is included among the top collaborators of Gipsie B. Ranney 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 Gipsie B. Ranney. Gipsie B. Ranney 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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