Volker Busskamp

5.8k total citations
55 papers, 3.6k citations indexed

About

Volker Busskamp is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Volker Busskamp has authored 55 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 35 papers in Cellular and Molecular Neuroscience and 8 papers in Biomedical Engineering. Recurrent topics in Volker Busskamp's work include Photoreceptor and optogenetics research (31 papers), Neuroscience and Neural Engineering (29 papers) and Retinal Development and Disorders (25 papers). Volker Busskamp is often cited by papers focused on Photoreceptor and optogenetics research (31 papers), Neuroscience and Neural Engineering (29 papers) and Retinal Development and Disorders (25 papers). Volker Busskamp collaborates with scholars based in Germany, Switzerland and United States. Volker Busskamp's co-authors include Botond Roska, D. Bálya, José‐Alain Sahel, Serge Picaud, Pamela S. Lagali, Jesús Eduardo Rojo Arias, Gautam B. Awatramani, Jens Duebel, Douglas S. Kim and Thomas A. Münch and has published in prestigious journals such as Science, Cell and Chemical Reviews.

In The Last Decade

Volker Busskamp

52 papers receiving 3.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Volker Busskamp Germany 25 2.4k 1.9k 472 458 360 55 3.6k
Jens Duebel France 23 2.4k 1.0× 2.1k 1.1× 299 0.6× 226 0.5× 441 1.2× 31 3.4k
Christel Genoud Switzerland 30 1.7k 0.7× 1.0k 0.6× 343 0.7× 178 0.4× 512 1.4× 57 3.3k
Frederick J. Livesey United Kingdom 42 6.2k 2.5× 2.0k 1.1× 955 2.0× 761 1.7× 336 0.9× 73 8.3k
Edwin S. Monuki United States 39 2.9k 1.2× 1.5k 0.8× 323 0.7× 1.0k 2.2× 179 0.5× 89 5.6k
Jun Takahashi Japan 38 6.1k 2.5× 2.5k 1.3× 254 0.5× 1.4k 3.0× 447 1.2× 112 8.2k
Masahito Yamagata United States 40 3.1k 1.3× 2.3k 1.2× 174 0.4× 112 0.2× 486 1.4× 59 5.0k
Quyen T. Nguyen United States 21 1.6k 0.7× 2.2k 1.2× 119 0.3× 628 1.4× 388 1.1× 34 4.5k
Jessica C. F. Kwok United Kingdom 35 1.6k 0.7× 2.2k 1.2× 178 0.4× 271 0.6× 197 0.5× 84 4.4k
Yehoash Raphael United States 53 2.5k 1.0× 1.3k 0.7× 481 1.0× 855 1.9× 2.9k 8.0× 183 9.2k
Paul C. Letourneau United States 61 4.1k 1.7× 6.7k 3.6× 281 0.6× 804 1.8× 169 0.5× 109 10.7k

Countries citing papers authored by Volker Busskamp

Since Specialization
Citations

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

Fields of papers citing papers by Volker Busskamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Volker Busskamp

This figure shows the co-authorship network connecting the top 25 collaborators of Volker Busskamp. A scholar is included among the top collaborators of Volker Busskamp 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 Volker Busskamp. Volker Busskamp 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.
Guzmán, Gabriela, et al.. (2025). Optogenetic tools and their applications for therapeutic intervention in end-stage inherited retinal diseases. Molecular Aspects of Medicine. 105. 101388–101388.
2.
Ng, Alex H. M., et al.. (2024). Uncovering the dynamics and consequences of RNA isoform changes during neuronal differentiation. Molecular Systems Biology. 20(7). 767–798. 5 indexed citations
3.
4.
Gabriel, Elke, Walid Albanna, Giovanni Pasquini, et al.. (2023). Generation of iPSC-derived human forebrain organoids assembling bilateral eye primordia. Nature Protocols. 18(6). 1893–1929. 10 indexed citations
5.
Busskamp, Volker, Botond Roska, & José‐Alain Sahel. (2023). Optogenetic Vision Restoration. Cold Spring Harbor Perspectives in Medicine. 14(8). a041660–a041660. 7 indexed citations
6.
Habibey, Rouhollah, et al.. (2022). Tracking connectivity maps in human stem cell–derived neuronal networks by holographic optogenetics. Life Science Alliance. 5(7). e202101268–e202101268. 8 indexed citations
7.
Turelli, Priscilla, Christopher J. Playfoot, Charlène Raclot, et al.. (2020). Primate-restricted KRAB zinc finger proteins and target retrotransposons control gene expression in human neurons. Science Advances. 6(35). eaba3200–eaba3200. 44 indexed citations
8.
Gysi, Deisy Morselli, et al.. (2020). Whole transcriptomic network analysis using Co-expression Differential Network Analysis (CoDiNA). PLoS ONE. 15(10). e0240523–e0240523. 13 indexed citations
9.
Krohne, Tim U., et al.. (2020). The Rise of Retinal Organoids for Vision Research. International Journal of Molecular Sciences. 21(22). 8484–8484. 17 indexed citations
10.
Pasquini, Giovanni, et al.. (2019). Transcriptomic assessing and guiding DSB repair pathway activity towards precise genomic engineering of post-mitotic neurons. Investigative Ophthalmology & Visual Science. 60(9). 3123–3123. 1 indexed citations
11.
Busskamp, Volker. (2019). Human stem-cell-derived photoreceptors for cell-based therapies. Investigative Ophthalmology & Visual Science. 60(9). 3–3. 1 indexed citations
12.
Swiersy, Anka, et al.. (2017). On-demand optogenetic activation of human stem-cell-derived neurons. Scientific Reports. 7(1). 14450–14450. 23 indexed citations
13.
Lam, Rebecca S., et al.. (2017). Functional Maturation of Human Stem Cell-Derived Neurons in Long-Term Cultures. PLoS ONE. 12(1). e0169506–e0169506. 56 indexed citations
14.
Busskamp, Volker, Nathan E. Lewis, Patrick Guye, et al.. (2014). Rapid neurogenesis through transcriptional activation in human stem cells. Molecular Systems Biology. 10(11). 760–760. 158 indexed citations
15.
Busskamp, Volker, Andrew J. Young, Masaaki Ogawa, et al.. (2014). Noninvasive optical inhibition with a red-shifted microbial rhodopsin. DSpace@MIT (Massachusetts Institute of Technology). 375 indexed citations
16.
Cronin, Thérèse, Luk H. Vandenberghe, Péter Hantz, et al.. (2014). Efficient transduction and optogenetic stimulation of retinal bipolar cells by a synthetic adeno‐associated virus capsid and promoter. EMBO Molecular Medicine. 6(9). 1175–1190. 146 indexed citations
17.
Roska, Botond, Volker Busskamp, José‐Alain Sahel, & Serge Picaud. (2013). La rétinopathie pigmentaire : restauration visuelle par thérapie optogénétique. Biologie Aujourd hui. 207(2). 109–121. 3 indexed citations
18.
Busskamp, Volker, Jens Duebel, D. Bálya, et al.. (2010). Genetic Reactivation of Cone Photoreceptors Restores Visual Responses in Retinitis Pigmentosa. Science. 329(5990). 413–417. 487 indexed citations
19.
Król, Jacek, Volker Busskamp, Michael Stadler, et al.. (2010). Characterizing Light-Regulated Retinal MicroRNAs Reveals Rapid Turnover as a Common Property of Neuronal MicroRNAs. Cell. 141(4). 618–631. 391 indexed citations
20.
Boldogkői, Zsolt, Kamill Bálint, Gautam B. Awatramani, et al.. (2009). Genetically timed, activity-sensor and rainbow transsynaptic viral tools. Nature Methods. 6(2). 127–130. 66 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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