Tibor Kudernác

5.8k citations
54 papers · 5.0k indexed · 4 hit papers · h-index 29

Tibor Kudernác

52 papers receiving 4.9k citations

Hit Papers

Conversion of light into macroscopic helical...6682003202620102018200400600

Peers

Tibor Kudernác
Comparison fields: 5 of 79
  • Materials Chemistry 2.7k
  • Biomaterials 705
  • Cellular and Molecular Neuroscience 828
  • Organic Chemistry 1.1k
  • Biomedical Engineering 1.6k
Replace Nathalie Katsonis with:
Nathalie Katsonis Netherlands
Andrew B. Greytak United States
Reiko Azumi Japan
Mutsuyoshi Matsumoto Japan
Michele Muccini Italy
Emanuele Orgiu France
David Bléger Germany
Akram Boukai United States
Tomonobu Nakayama Japan
Tibor Kudernác relative to Nathalie Katsonis Netherlands Nathalie Katsonis's profile →
Citations per field
00.5×1.5×
Nathalie Katsonis · 1×
Citations per year

Countries citing papers authored by Tibor Kudernác

Since Specialization
Citations

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

Fields of papers citing papers by Tibor Kudernác

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20232
3 202211
4 202133
5 201828
6 2017115
7 201716
8 201770
9 201558
10
Conversion of light into macroscopic helical motionbreakdown →
2014668
11 201419
12 201112
13
Electrically driven directional motion of a four-wheeled molecule on a metal surfacebreakdown →
2011622
14 201053
15 200920
16 2008421
17 200884
18 2006113
19 2005166
20
One-Way Optoelectronic Switching of Photochromic Molecules on Goldbreakdown →
2003492

About Tibor Kudernác

Tibor Kudernác is a scholar working on Biomaterials, Cellular and Molecular Neuroscience and Materials Chemistry, having authored 54 papers that have together received 5.0k indexed citations. Recurring topics across this work include Molecular Junctions and Nanostructures (21 papers), Photochromic and Fluorescence Chemistry (15 papers), Surface Chemistry and Catalysis (14 papers), Supramolecular Self-Assembly in Materials (13 papers), Photoreceptor and optogenetics research (12 papers), Porphyrin and Phthalocyanine Chemistry (7 papers), Advanced Materials and Mechanics (5 papers) and Supramolecular Chemistry and Complexes (5 papers). The work is most often cited by research in Materials Chemistry (2.7k citations), Biomaterials (705 citations) and Cellular and Molecular Neuroscience (828 citations). Tibor Kudernác has collaborated with scholars based in Netherlands, Belgium and United Kingdom. Frequent co-authors include Ben L. Feringa, Nathalie Katsonis, B. J. van Wees, Steven De Feyter, Sense Jan van der Molen, Benjamin Matt, Stephen P. Fletcher, Sarah J. Aßhoff, Supitchaya Iamsaard and Shengbin Lei. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

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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