Denise M. Ferkey

42 total papers · 2.4k total citations
27 papers, 1.8k citations indexed

About

Denise M. Ferkey is a scholar working on Aging, Endocrine and Autonomic Systems and Molecular Biology. According to data from OpenAlex, Denise M. Ferkey has authored 27 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Aging, 14 papers in Endocrine and Autonomic Systems and 13 papers in Molecular Biology. Recurrent topics in Denise M. Ferkey's work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Circadian rhythm and melatonin (14 papers) and Cancer-related gene regulation (7 papers). Denise M. Ferkey is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (16 papers), Circadian rhythm and melatonin (14 papers) and Cancer-related gene regulation (7 papers). Denise M. Ferkey collaborates with scholars based in United States, Israel and Netherlands. Denise M. Ferkey's co-authors include David Kimelman, Savas Delikanli, Hao Zeng, Arnd Pralle, Heng Huang, Cynthia Yost, Sarah B. Pierce, Gist H. Farr, Feng Mao and Wenqing Xu and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Neuron.

In The Last Decade

Denise M. Ferkey

25 papers receiving 1.7k citations

Hit Papers

Remote control of ion cha... 2010 2026 2015 2020 2010 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Denise M. Ferkey 914 392 312 289 226 27 1.8k
Shangbang Gao 521 0.6× 482 1.2× 196 0.6× 548 1.9× 373 1.7× 58 1.4k
Shunsuke Yuba 765 0.8× 209 0.5× 93 0.3× 72 0.2× 154 0.7× 33 1.3k
Irene Wacker 680 0.7× 209 0.5× 310 1.0× 131 0.5× 37 0.2× 61 1.9k
Chieh Chang 839 0.9× 298 0.8× 53 0.2× 496 1.7× 171 0.8× 37 1.7k
Yingchuan Qi 1.4k 1.5× 531 1.4× 141 0.5× 268 0.9× 158 0.7× 33 2.3k
Ilmin Kwon 1.3k 1.4× 255 0.7× 49 0.2× 83 0.3× 234 1.0× 25 2.0k
Yang Xiang 498 0.5× 979 2.5× 310 1.0× 68 0.2× 158 0.7× 45 2.3k
Charles Géminard 1.4k 1.5× 524 1.3× 66 0.2× 222 0.8× 53 0.2× 23 2.2k
Amanda‐Jayne F. Carr 1.7k 1.8× 653 1.7× 98 0.3× 57 0.2× 326 1.4× 41 2.2k
Milos Galic 472 0.5× 634 1.6× 100 0.3× 269 0.9× 66 0.3× 31 1.4k

Countries citing papers authored by Denise M. Ferkey

Since Specialization
Citations

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

Fields of papers citing papers by Denise M. Ferkey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Denise M. Ferkey. 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 Denise M. Ferkey. The network helps show where Denise M. Ferkey may publish in the future.

Co-authorship network of co-authors of Denise M. Ferkey

This figure shows the co-authorship network connecting the top 25 collaborators of Denise M. Ferkey. A scholar is included among the top collaborators of Denise M. Ferkey 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 Denise M. Ferkey. Denise M. Ferkey 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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