Beth D. Youngblood

22 total papers · 472 total citations
13 papers, 237 citations indexed

About

Beth D. Youngblood is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Molecular Biology. According to data from OpenAlex, Beth D. Youngblood has authored 13 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 6 papers in Sensory Systems and 4 papers in Molecular Biology. Recurrent topics in Beth D. Youngblood's work include Ion Channels and Receptors (6 papers), Neurobiology and Insect Physiology Research (6 papers) and Ion channel regulation and function (3 papers). Beth D. Youngblood is often cited by papers focused on Ion Channels and Receptors (6 papers), Neurobiology and Insect Physiology Research (6 papers) and Ion channel regulation and function (3 papers). Beth D. Youngblood collaborates with scholars based in United States and Hungary. Beth D. Youngblood's co-authors include Sonya G. Lehto, Narender R. Gavva, Weiya Wang, Maosheng Zhang, Laurie B. Schenkel, Michael E. Kort, Valéria Tékus, Philip R. Kym, Erika Pintér and Stephanie Geuns-Meyer and has published in prestigious journals such as Journal of Neuroscience, Journal of Medicinal Chemistry and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Beth D. Youngblood

12 papers receiving 222 citations

Author Peers

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

Author Last Decade Papers Cites
Beth D. Youngblood 145 84 65 62 34 13 237
Lisa A. Leon 153 1.1× 70 0.8× 62 1.0× 70 1.1× 28 0.8× 9 317
Erin S. R. Lashinger 165 1.1× 67 0.8× 67 1.0× 56 0.9× 28 0.8× 6 314
Marcus Peacock 141 1.0× 82 1.0× 91 1.4× 97 1.6× 25 0.7× 6 282
Richard Tran 227 1.6× 66 0.8× 100 1.5× 119 1.9× 39 1.1× 15 326
Sang-Uk Kang 122 0.8× 38 0.5× 129 2.0× 58 0.9× 19 0.6× 16 309
John V. Lin King 142 1.0× 63 0.8× 111 1.7× 48 0.8× 24 0.7× 8 282
Maosheng Zhang 76 0.5× 36 0.4× 38 0.6× 40 0.6× 19 0.6× 23 187
Victor Kazanski 124 0.9× 91 1.1× 150 2.3× 29 0.5× 18 0.5× 7 330
Tudor Şelescu 164 1.1× 52 0.6× 52 0.8× 66 1.1× 42 1.2× 18 275
Maik Konrad 199 1.4× 99 1.2× 113 1.7× 47 0.8× 20 0.6× 9 323

Countries citing papers authored by Beth D. Youngblood

Since Specialization
Citations

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

Fields of papers citing papers by Beth D. Youngblood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beth D. Youngblood. 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 Beth D. Youngblood. The network helps show where Beth D. Youngblood may publish in the future.

Co-authorship network of co-authors of Beth D. Youngblood

This figure shows the co-authorship network connecting the top 25 collaborators of Beth D. Youngblood. A scholar is included among the top collaborators of Beth D. Youngblood 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 Beth D. Youngblood. Beth D. Youngblood 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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