Daniel Kerschensteiner

3.7k citations
69 papers · 2.5k indexed · h-index 34

Impact in

Papers in

Daniel Kerschensteiner

64 papers receiving 2.5k citations

Peers

Daniel Kerschensteiner
Comparison fields: 5 of 121
  • Cellular and Molecular Neuroscience 1.5k
  • Cognitive Neuroscience 545
  • Periodontics 123
  • Molecular Biology 1.8k
  • Physiology 114
Replace Eva Guiducci with:
Eva Guiducci Switzerland
Pavel V. Belichenko United States
Elizabeth Sumi Yamada Brazil
Pedro Lax Spain
Koji Ohno Japan
Mrinalini Hoon United States
Lavinia Albéri Switzerland
Gro Owren Nygaard Norway
Helen L. Fitzsimons New Zealand
Daniel Kerschensteiner relative to Eva Guiducci Switzerland Eva Guiducci's profile →
Citations per field
00.5×4.7×
Eva Guiducci · 1×
Citations per year

Countries citing papers authored by Daniel Kerschensteiner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kerschensteiner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniel Kerschensteiner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Kerschensteiner Line = papers co-authored together Daniel Kerschensteiner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20247
3 20240
4 20231
5 20236
6 20234
7 202035
8 201825
9 201725
10 20171
11 201752
12 201544
13 201419
14 201362
15 201338
16 20131
17 2012159
18 200540
19
Structural determinants of modulation of Kv2.1 inactivation by Kv9.3
20021
20 199833

About Daniel Kerschensteiner

Daniel Kerschensteiner is a scholar working on Cellular and Molecular Neuroscience, Biophysics, Molecular Biology, Structural Biology and Cognitive Neuroscience, having authored 69 papers that have together received 2.5k indexed citations. Recurring topics across this work include Retinal Development and Disorders (50 papers), Neuroscience and Neuropharmacology Research (35 papers), Photoreceptor and optogenetics research (32 papers), Neural dynamics and brain function (10 papers), Ion channel regulation and function (6 papers), Neuroscience and Neural Engineering (6 papers), Cardiac electrophysiology and arrhythmias (6 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Cognitive Neuroscience (545 citations), Periodontics (123 citations), Molecular Biology (1.8k citations) and Physiology (114 citations). Daniel Kerschensteiner has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Florentina Soto, Rachel Wong, Martin Stocker, Josh Morgan, Tahnbee Kim, Nai-Wen Tien, Renate Lewis, Alejandro Akrouh, James T. Pearson and Francisco J. Monje. Their work appears in journals such as Neuron, Journal of Neuroscience, Cold Spring Harbor Protocols, Cell Reports and Nature Communications.

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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