András Dér

3.4k citations
119 papers · 2.3k indexed · h-index 27

András Dér

116 papers receiving 2.3k citations

Peers

András Dér
Comparison fields: 5 of 132
  • Cellular and Molecular Neuroscience 1.0k
  • Neurology 215
  • Biological Psychiatry 46
  • Biophysics 99
  • Biomedical Engineering 589
Replace Takahisa Taguchi with:
Takahisa Taguchi Japan
Pascal Steiner Switzerland
Hiroto Takahashi Japan
Robia G. Pautler United States
Marianne Renner France
Stuart C. Feinstein United States
Michele Mazzanti Italy
Thomas E. Fisher Canada
Owe Orwar Sweden
András Dér relative to Takahisa Taguchi Japan Takahisa Taguchi's profile →
Citations per field
00.5×4.6×
Takahisa Taguchi · 1×
Citations per year

Countries citing papers authored by András Dér

Since Specialization
Citations

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

Fields of papers citing papers by András Dér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside András Dér, 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 András Dér Line = papers co-authored together András Dér links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20253
3 20246
4 20241
5 20241
6 202312
7 20230
8 20231
9 20231
10 202310
11 202315
12 20235
13 202232
14 202210
15 20218
16 202161
17 202013
18 20198
19 199511
20 19864

About András Dér

András Dér is a scholar working on Cellular and Molecular Neuroscience, Biophysics, Acoustics and Ultrasonics, Cognitive Neuroscience and Biomedical Engineering, having authored 119 papers that have together received 2.3k indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (63 papers), Photosynthetic Processes and Mechanisms (19 papers), Neuroscience and Neuropharmacology Research (18 papers), Spectroscopy and Quantum Chemical Studies (17 papers), Neural dynamics and brain function (15 papers), Neuroscience and Neural Engineering (13 papers), Molecular Communication and Nanonetworks (12 papers) and Advanced Fluorescence Microscopy Techniques (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Neurology (215 citations), Biological Psychiatry (46 citations), Biophysics (99 citations) and Biomedical Engineering (589 citations). András Dér has collaborated with scholars based in Hungary, Germany and Bulgaria. Frequent co-authors include L. Keszthelyi, Pál Ormos, Mária A. Deli, Fruzsina R. Walter, Sándor Valkai, András Kincses, Jeremy J. Ramsden, Ana Raquel Santa-Maria, Elmar K. Wolff and Szilvia Veszelka. Their work appears in journals such as Biophysical Journal, Journal of Photochemistry and Photobiology B Biology, FEBS Letters, Scientific Reports and The Journal of Physical Chemistry C.

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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