Bernd K. Gilsbach

39 total papers · 651 total citations
13 papers, 349 citations indexed

About

Bernd K. Gilsbach is a scholar working on Molecular Biology, Neurology and Cell Biology. According to data from OpenAlex, Bernd K. Gilsbach has authored 13 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Neurology and 5 papers in Cell Biology. Recurrent topics in Bernd K. Gilsbach's work include Parkinson's Disease Mechanisms and Treatments (10 papers), Cellular transport and secretion (5 papers) and Plant Gene Expression Analysis (4 papers). Bernd K. Gilsbach is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (10 papers), Cellular transport and secretion (5 papers) and Plant Gene Expression Analysis (4 papers). Bernd K. Gilsbach collaborates with scholars based in Germany, Netherlands and United Kingdom. Bernd K. Gilsbach's co-authors include Arjan Kortholt, Alfred Wittinghofer, Peter J.M. Van Haastert, Ingrid R. Vetter, Lothar Gremer, Mohammad Reza Ahmadian, Christian Johannes Gloeckner, Susanne Terheyden, Henderikus Pots and Michael Sattler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Current Biology and Biochemical Journal.

In The Last Decade

Bernd K. Gilsbach

13 papers receiving 345 citations

Author Peers

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

Author Last Decade Papers Cites
Bernd K. Gilsbach 226 188 104 62 24 13 349
G. Stephen Noell 190 0.8× 134 0.7× 45 0.4× 48 0.8× 37 1.5× 13 368
Martina Audagnotto 277 1.2× 83 0.4× 73 0.7× 46 0.7× 24 1.0× 9 385
Hong Mei 146 0.6× 162 0.9× 57 0.5× 59 1.0× 61 2.5× 10 314
Roeland Vanhoutte 232 1.0× 75 0.4× 51 0.5× 49 0.8× 25 1.0× 12 363
Deepak Chhangani 289 1.3× 70 0.4× 120 1.2× 52 0.8× 69 2.9× 20 397
Lauren M. Gittings 296 1.3× 180 1.0× 49 0.5× 50 0.8× 53 2.2× 11 399
Daniela Strobbe 249 1.1× 65 0.3× 51 0.5× 53 0.9× 26 1.1× 14 388
Eliana Lauranzano 177 0.8× 158 0.8× 59 0.6× 60 1.0× 50 2.1× 12 348
Christoph P. Dohm 202 0.9× 130 0.7× 73 0.7× 72 1.2× 95 4.0× 16 375
Shalini Padmanabhan 144 0.6× 172 0.9× 81 0.8× 111 1.8× 81 3.4× 16 350

Countries citing papers authored by Bernd K. Gilsbach

Since Specialization
Citations

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

Fields of papers citing papers by Bernd K. Gilsbach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bernd K. Gilsbach. 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 Bernd K. Gilsbach. The network helps show where Bernd K. Gilsbach may publish in the future.

Co-authorship network of co-authors of Bernd K. Gilsbach

This figure shows the co-authorship network connecting the top 25 collaborators of Bernd K. Gilsbach. A scholar is included among the top collaborators of Bernd K. Gilsbach 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 Bernd K. Gilsbach. Bernd K. Gilsbach 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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