Ilka Diester

85 total papers · 6.4k total citations
41 papers, 3.0k citations indexed

About

Ilka Diester is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Statistics and Probability. According to data from OpenAlex, Ilka Diester has authored 41 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cellular and Molecular Neuroscience, 31 papers in Cognitive Neuroscience and 6 papers in Statistics and Probability. Recurrent topics in Ilka Diester's work include Neural dynamics and brain function (23 papers), Photoreceptor and optogenetics research (21 papers) and Neuroscience and Neural Engineering (17 papers). Ilka Diester is often cited by papers focused on Neural dynamics and brain function (23 papers), Photoreceptor and optogenetics research (21 papers) and Neuroscience and Neural Engineering (17 papers). Ilka Diester collaborates with scholars based in Germany, United States and Netherlands. Ilka Diester's co-authors include Karl Deisseroth, Andreas Nieder, Charu Ramakrishnan, Rohit Prakash, Viviana Gradinaru, Joanna Mattis, Inbal Goshen, Oana Tudusciuc, Kimberly R. Thompson and Feng Zhang and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ilka Diester

41 papers receiving 2.9k citations

Hit Papers

Molecular and Cellular Ap... 2010 2026 2015 2020 2010 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
Ilka Diester 2.0k 1.5k 639 363 343 41 3.0k
Keisetsu Shima 604 0.3× 2.9k 1.9× 163 0.3× 268 0.7× 200 0.6× 50 3.6k
John A. Assad 931 0.5× 3.7k 2.5× 413 0.6× 69 0.2× 213 0.6× 39 4.6k
C.A. Terzuolo 1.1k 0.5× 2.3k 1.5× 332 0.5× 27 0.1× 962 2.8× 76 3.7k
William H. Merigan 906 0.4× 2.5k 1.6× 2.2k 3.4× 98 0.3× 281 0.8× 91 5.3k
Jamie D. Roitman 537 0.3× 2.3k 1.5× 180 0.3× 261 0.7× 18 0.1× 26 2.9k
Trichur R. Vidyasagar 1.1k 0.5× 3.3k 2.2× 414 0.6× 569 1.6× 23 0.1× 90 3.9k
Neil E. Berthier 408 0.2× 1.2k 0.8× 89 0.1× 148 0.4× 207 0.6× 55 2.2k
Asaid Khateb 696 0.3× 2.6k 1.8× 335 0.5× 216 0.6× 21 0.1× 104 3.9k
Katrin Schulze 528 0.3× 2.1k 1.4× 572 0.9× 73 0.2× 132 0.4× 48 3.3k
Nicholas A. Steinmetz 1.8k 0.9× 3.4k 2.3× 282 0.4× 25 0.1× 119 0.3× 47 4.0k

Countries citing papers authored by Ilka Diester

Since Specialization
Citations

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

Fields of papers citing papers by Ilka Diester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilka Diester

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