Darlene C. Deecher

63 total papers · 2.7k total citations
55 papers, 2.1k citations indexed

About

Darlene C. Deecher is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Darlene C. Deecher has authored 55 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 20 papers in Cellular and Molecular Neuroscience and 19 papers in Genetics. Recurrent topics in Darlene C. Deecher's work include Estrogen and related hormone effects (18 papers), Receptor Mechanisms and Signaling (12 papers) and Hypothalamic control of reproductive hormones (10 papers). Darlene C. Deecher is often cited by papers focused on Estrogen and related hormone effects (18 papers), Receptor Mechanisms and Signaling (12 papers) and Hypothalamic control of reproductive hormones (10 papers). Darlene C. Deecher collaborates with scholars based in United States, Canada and Australia. Darlene C. Deecher's co-authors include Donald E. Frail, Terrance H. Andree, Kathleen M. Dorries, Panayiotis E. Stevis, David M. Soderlund, Grace H. Johnston, Lee E. Schechter, Mako Araga, Peter D. Alfinito and Scott Cosmi and has published in prestigious journals such as Diabetes, Analytical Biochemistry and Brain Research.

In The Last Decade

Darlene C. Deecher

55 papers receiving 2.0k citations

Author Peers

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

Author						Papers	Cites
Darlene C. Deecher	637	602	528	496	348	55	2.1k
Francisco J. López	629 1.0×	403 0.7×	739 1.4×	468 0.9×	938 2.7×	71	2.4k
Susan P. Rohrer	901 1.4×	912 1.5×	348 0.7×	498 1.0×	245 0.7×	60	2.7k
Silvana A. Andrić	547 0.9×	367 0.6×	164 0.3×	458 0.9×	370 1.1×	85	2.1k
Nancy C. Lan	973 1.5×	617 1.0×	1.1k 2.1×	267 0.5×	98 0.3×	41	2.9k
Małgorzata Kajta	775 1.2×	448 0.7×	526 1.0×	234 0.5×	70 0.2×	82	2.8k
Paula A. Witt‐Enderby	929 1.5×	221 0.4×	515 1.0×	144 0.3×	184 0.5×	78	3.2k
Hemmie H.G. Berendsen	379 0.6×	212 0.4×	732 1.4×	503 1.0×	180 0.5×	36	1.8k
John M. Streicher	1.1k 1.7×	149 0.2×	845 1.6×	179 0.4×	114 0.3×	82	2.3k
Irit Gil‐Ad	723 1.1×	162 0.3×	695 1.3×	623 1.3×	140 0.4×	105	3.1k
James Ellingboe	340 0.5×	118 0.2×	451 0.9×	622 1.3×	328 0.9×	63	2.2k

Countries citing papers authored by Darlene C. Deecher

Since Specialization

Citations

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

Fields of papers citing papers by Darlene C. Deecher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darlene C. Deecher

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