Nina Vogt

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 Loren L. Looger, Yang Xiang, Quan Yuan, Yuh Nung Jan, Lily Yeh Jan, Jörg Großhans, Frank Schnorrer, Heinz Schwarz, Christian Wenzl and Iris Koch and has published in prestigious journals such as Nature, Cell and Development.

In The Last Decade

Nina Vogt

55 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nina Vogt United States 14 506 437 293 128 94 58 1.1k
Shan Meltzer United States 11 388 0.8× 398 0.9× 153 0.5× 109 0.9× 52 0.6× 14 888
Mark Eddison United States 15 696 1.4× 365 0.8× 186 0.6× 106 0.8× 89 0.9× 24 1.3k
Pauline Spéder France 17 676 1.3× 314 0.7× 275 0.9× 146 1.1× 32 0.3× 22 1.1k
Peri T. Kurshan United States 16 443 0.9× 585 1.3× 228 0.8× 174 1.4× 74 0.8× 21 1.0k
Li E. Cheng United States 8 338 0.7× 384 0.9× 109 0.4× 153 1.2× 48 0.5× 10 779
Richard W. Daniels United States 17 819 1.6× 937 2.1× 514 1.8× 164 1.3× 67 0.7× 20 1.6k
Christopher J. Tabone United States 8 335 0.7× 476 1.1× 98 0.3× 226 1.8× 99 1.1× 12 953
Manabi Fujiwara Japan 11 788 1.6× 566 1.3× 139 0.5× 181 1.4× 272 2.9× 13 1.6k
Thomas Hummel Austria 21 702 1.4× 1.2k 2.7× 289 1.0× 238 1.9× 80 0.9× 40 1.6k
Maike Kittelmann Germany 17 579 1.1× 267 0.6× 241 0.8× 96 0.8× 40 0.4× 26 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

20 of 20 papers shown
1.
Vogt, Nina. (2023). Imaging behavior with a camera array. Nature Methods. 20(5). 632–632.
2.
Vogt, Nina. (2023). Human brain mapping. Nature Methods. 20(12). 1869–1869. 6 indexed citations
3.
Vogt, Nina. (2023). Reproducibility in MRI. Nature Methods. 20(1). 34–34. 7 indexed citations
4.
Vogt, Nina. (2021). Assembloids. Nature Methods. 18(1). 27–27. 52 indexed citations
5.
Vogt, Nina. (2020). Photoacoustics in a snap. Nature Methods. 17(3). 248–248. 2 indexed citations
6.
Vogt, Nina. (2020). Beware the unexpected in Cre drivers. Nature Methods. 17(4). 364–364. 1 indexed citations
7.
Vogt, Nina. (2020). The mouse reference brain in 3D. Nature Methods. 17(7). 655–655. 1 indexed citations
8.
Vogt, Nina. (2020). Primate post-implantation development in a dish. Nature Methods. 17(1). 29–29. 1 indexed citations
9.
Vogt, Nina. (2020). Collaborative neuroscience. Nature Methods. 17(1). 22–22. 3 indexed citations
10.
Vogt, Nina. (2019). Hybrid volumetric calcium imaging. Nature Methods. 16(6). 461–461. 1 indexed citations
11.
Vogt, Nina. (2019). Imaging the mouse as a whole. Nature Methods. 16(3). 213–213. 1 indexed citations
12.
Vogt, Nina. (2019). Massively parallel intracellular recordings. Nature Methods. 16(11). 1079–1079. 2 indexed citations
13.
Vogt, Nina. (2019). Dissecting neuronal circuitry. Nature Methods. 16(4). 282–282. 1 indexed citations
14.
Vogt, Nina. (2018). Sensing neurotransmitters. Nature Methods. 16(1). 17–17. 15 indexed citations
15.
Vogt, Nina. (2018). Detecting acetylcholine. Nature Methods. 15(9). 648–648. 4 indexed citations
16.
17.
Vogt, Nina. (2014). Magnificent myelin. Nature Methods. 11(6). 606–606. 1 indexed citations
18.
Cullen, C. Fiona, et al.. (2012). The conserved kinase SRPK regulates karyosome formation and spindle microtubule assembly in Drosophila oocytes. Journal of Cell Science. 125(Pt 19). 4457–62. 26 indexed citations
19.
Vasiliauskas, Daniel, Esteban O. Mazzoni, Simon G. Sprecher, et al.. (2011). Feedback from rhodopsin controls rhodopsin exclusion in Drosophila photoreceptors. Nature. 479(7371). 108–112. 40 indexed citations
20.
Großhans, Jörg, Christian Wenzl, Hans‐Martin Herz, et al.. (2005). RhoGEF2 and the formin Dia control the formation of the furrow canal by directed actin assembly during Drosophila cellularisation. Development. 132(5). 1009–1020. 106 indexed citations

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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