Nina Vogt

197 total papers · 1.6k total citations
58 papers, 1.1k citations indexed

About

Nina Vogt is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Nina Vogt has authored 58 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 18 papers in Cellular and Molecular Neuroscience and 11 papers in Biomedical Engineering. Recurrent topics in Nina Vogt's work include Photoreceptor and optogenetics research (12 papers), Neuroscience and Neural Engineering (6 papers) and Neural dynamics and brain function (6 papers). Nina Vogt is often cited by papers focused on Photoreceptor and optogenetics research (12 papers), Neuroscience and Neural Engineering (6 papers) and Neural dynamics and brain function (6 papers). Nina Vogt collaborates with scholars based in United States, Germany and United Kingdom. Nina Vogt's co-authors include Quan Yuan, Loren L. Looger, Lily Yeh Jan, Yuh Nung Jan, Yang Xiang, Jörg Großhans, Heinz Schwarz, Frank Schnorrer, Christian Wenzl and Christiane Nüsslein‐Volhard and has published in prestigious journals such as Nature, Cell and Development.

In The Last Decade

Nina Vogt

55 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Nina Vogt 505 436 293 127 94 58 1.1k
Douglas W. Allan 657 1.3× 453 1.0× 131 0.4× 152 1.2× 172 1.8× 43 1.4k
Milos Galic 472 0.9× 634 1.5× 357 1.2× 178 1.4× 66 0.7× 31 1.4k
Gregory A. Lnenicka 351 0.7× 820 1.9× 188 0.6× 97 0.8× 89 0.9× 49 1.0k
Mark Eddison 689 1.4× 360 0.8× 183 0.6× 107 0.8× 87 0.9× 24 1.2k
Benjamin Walcott 533 1.1× 385 0.9× 91 0.3× 151 1.2× 56 0.6× 61 1.4k
Pauline Spéder 676 1.3× 314 0.7× 274 0.9× 146 1.1× 32 0.3× 22 1.1k
Martin Schwärzel 521 1.0× 745 1.7× 158 0.5× 143 1.1× 90 1.0× 20 1.0k
Takahiro Chihara 763 1.5× 377 0.9× 325 1.1× 139 1.1× 30 0.3× 53 1.3k
Jean‐François Colas 619 1.2× 504 1.2× 156 0.5× 178 1.4× 35 0.4× 27 1.2k
Asako Tsubouchi 542 1.1× 487 1.1× 328 1.1× 141 1.1× 34 0.4× 17 1.1k

Countries citing papers authored by Nina Vogt

Since Specialization
Citations

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

Fields of papers citing papers by Nina Vogt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nina Vogt. 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 Nina Vogt. The network helps show where Nina Vogt may publish in the future.

Co-authorship network of co-authors of Nina Vogt

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Vogt. A scholar is included among the top collaborators of Nina Vogt 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 Nina Vogt. Nina Vogt 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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