Daniela G. Dengler

15 total papers · 1.1k total citations
10 papers, 818 citations indexed

About

Daniela G. Dengler is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Daniela G. Dengler has authored 10 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 9 papers in Molecular Biology and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Daniela G. Dengler's work include Neuropeptides and Animal Physiology (9 papers), Receptor Mechanisms and Signaling (9 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). Daniela G. Dengler is often cited by papers focused on Neuropeptides and Animal Physiology (9 papers), Receptor Mechanisms and Signaling (9 papers) and Pharmacological Receptor Mechanisms and Effects (2 papers). Daniela G. Dengler collaborates with scholars based in United States, Germany and China. Daniela G. Dengler's co-authors include Harald Hübner, Peter Gmeiner, Brian K. Kobilka, Brian K. Shoichet, Philippe Giguère, Anat Levit, Viachaslau Bernat, John D. McCorvy, Aashish Manglik and Xi‐Ping Huang and has published in prestigious journals such as Nature, The FASEB Journal and Journal of Medicinal Chemistry.

In The Last Decade

Daniela G. Dengler

10 papers receiving 804 citations

Hit Papers

Structure-based discovery... 2016 2026 2019 2022 2016 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Daniela G. Dengler 649 519 127 117 51 10 818
Viachaslau Bernat 778 1.2× 496 1.0× 119 0.9× 116 1.0× 62 1.2× 8 965
Aimee L. Crombie 426 0.7× 350 0.7× 95 0.7× 52 0.4× 25 0.5× 9 794
Priya Kunapuli 769 1.2× 286 0.6× 103 0.8× 56 0.5× 62 1.2× 21 1.0k
Andrea Kliewer 642 1.0× 579 1.1× 178 1.4× 42 0.4× 83 1.6× 25 952
Alain Boudon 524 0.8× 455 0.9× 140 1.1× 116 1.0× 10 0.2× 10 859
Lauren M. Slosky 439 0.7× 266 0.5× 172 1.4× 43 0.4× 36 0.7× 23 849
Philip Pitis 569 0.9× 535 1.0× 127 1.0× 69 0.6× 19 0.4× 7 766
Dorothée Möller 575 0.9× 275 0.5× 65 0.5× 62 0.5× 46 0.9× 17 740
Sijie Huang 537 0.8× 294 0.6× 61 0.5× 59 0.5× 72 1.4× 24 719
Youwen Zhuang 643 1.0× 318 0.6× 65 0.5× 55 0.5× 93 1.8× 18 875

Countries citing papers authored by Daniela G. Dengler

Since Specialization
Citations

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

Fields of papers citing papers by Daniela G. Dengler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela G. Dengler. 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 Daniela G. Dengler. The network helps show where Daniela G. Dengler may publish in the future.

Co-authorship network of co-authors of Daniela G. Dengler

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

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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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