Susan J. Gregory

567 total citations
9 papers, 477 citations indexed

About

Susan J. Gregory is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Agronomy and Crop Science. According to data from OpenAlex, Susan J. Gregory has authored 9 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Agronomy and Crop Science. Recurrent topics in Susan J. Gregory's work include Growth Hormone and Insulin-like Growth Factors (3 papers), Hypothalamic control of reproductive hormones (2 papers) and Molecular Sensors and Ion Detection (2 papers). Susan J. Gregory is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (3 papers), Hypothalamic control of reproductive hormones (2 papers) and Molecular Sensors and Ion Detection (2 papers). Susan J. Gregory collaborates with scholars based in United States and United Kingdom. Susan J. Gregory's co-authors include Ursula B. Kaiser, Michael E. Cooper, M. Briggs, S. Kalinka, Elaine J. Adie, Julie Townsend, Domingo J. Tortonese, Shuyun Xu, Laura A. Petrillo and Alissa Detz and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Chemical Communications and Molecular Endocrinology.

In The Last Decade

Susan J. Gregory

9 papers receiving 473 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Susan J. Gregory United States 9 170 105 104 95 90 9 477
Charleen Miller United States 13 578 3.4× 31 0.3× 42 0.4× 88 0.9× 102 1.1× 19 799
Takumi Fukuda Japan 13 199 1.2× 84 0.8× 130 1.3× 72 0.8× 22 0.2× 28 523
Jean C. Grammer United States 17 470 2.8× 30 0.3× 75 0.7× 32 0.3× 27 0.3× 30 822
Marvin J. Karten Switzerland 6 191 1.1× 30 0.3× 255 2.5× 84 0.9× 23 0.3× 10 548
José A. Gómez Spain 14 377 2.2× 25 0.2× 22 0.2× 49 0.5× 26 0.3× 32 679
Tullio Labella Italy 11 341 2.0× 32 0.3× 27 0.3× 11 0.1× 18 0.2× 24 485
Eduardo Jardón‐Valadez Mexico 11 239 1.4× 10 0.1× 100 1.0× 19 0.2× 12 0.1× 21 335
Tomislav Barth Czechia 15 259 1.5× 12 0.1× 6 0.1× 17 0.2× 152 1.7× 102 692
Francisco M. Martínez Canada 14 194 1.1× 164 1.6× 186 1.8× 10 0.1× 21 0.2× 34 695
Patrick Hubert France 9 166 1.0× 20 0.2× 49 0.5× 12 0.1× 46 0.5× 18 372

Countries citing papers authored by Susan J. Gregory

Since Specialization
Citations

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

Fields of papers citing papers by Susan J. Gregory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan J. Gregory. 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 Susan J. Gregory. The network helps show where Susan J. Gregory may publish in the future.

Co-authorship network of co-authors of Susan J. Gregory

This figure shows the co-authorship network connecting the top 25 collaborators of Susan J. Gregory. A scholar is included among the top collaborators of Susan J. Gregory 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 Susan J. Gregory. Susan J. Gregory is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Hodson, David J., et al.. (2007). Gonadotropin-Releasing Hormone Stimulates Prolactin Release from Lactotrophs in Photoperiodic Species Through a Gonadotropin-Independent Mechanism. Biology of Reproduction. 78(2). 370–377. 30 indexed citations
3.
Gregory, Susan J. & Ursula B. Kaiser. (2004). Regulation of Gonadotropins by Inhibin and Activin. Seminars in Reproductive Medicine. 22(3). 253–267. 112 indexed citations
4.
Gregory, Susan J., et al.. (2004). Synergy between Activin A and Gonadotropin-Releasing Hormone in Transcriptional Activation of the Rat Follicle-Stimulating Hormone-β Gene. Molecular Endocrinology. 19(1). 237–254. 57 indexed citations
5.
Gregory, Susan J., Julie Townsend, Alan S. McNeilly, & Domingo J. Tortonese. (2004). Effects of Prolactin on the Luteinizing Hormone Response to Gonadotropin-Releasing Hormone in Primary Pituitary Cell Cultures During the Ovine Annual Reproductive Cycle. Biology of Reproduction. 70(5). 1299–1305. 27 indexed citations
6.
Urbanski, Henryk F., et al.. (2003). Developmental Changes in the Hormonal Identity of Gonadotroph Cells in the Rhesus Monkey Pituitary Gland. The Journal of Clinical Endocrinology & Metabolism. 88(6). 2934–2942. 28 indexed citations
7.
Cooper, Michael E., Susan J. Gregory, Elaine J. Adie, & S. Kalinka. (2002). pH-Sensitive Cyanine Dyes for Biological Applications. Journal of Fluorescence. 12(3-4). 425–429. 74 indexed citations
8.
Jones, Chris, et al.. (2001). Improvements in the Sensitivity of Time Resolved Fluorescence Energy Transfer Assays. Journal of Fluorescence. 11(1). 13–21. 15 indexed citations
9.
Briggs, M., et al.. (2000). A pH sensitive fluorescent cyanine dye for biological applications. Chemical Communications. 2323–2324. 99 indexed citations

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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