Gábor Holló

603 citations
46 papers · 440 · h-index 13

Impact in

Papers in

Gábor Holló

45 papers receiving 437 citations

Peers

Gábor Holló
Comparison fields: 5 of 74
  • Biomaterials 95
  • Cellular and Molecular Neuroscience 75
  • Condensed Matter Physics 43
  • Computer Networks and Communications 71
  • Biomedical Engineering 122
Replace Albert S. Y. Wong with:
Albert S. Y. Wong Netherlands
André Estevez‐Torres France
Francesca Di Maria Italy
Bruno C. Batista United States
Pascale Angelica Bachmann Switzerland
Tereza Pereira de Souza Italy
Kenji Miyakawa Japan
Susan A. P. van Rossum Netherlands
Muneyuki Matsuo Japan
Brian J. Cafferty United States
Gábor Holló relative to Albert S. Y. Wong Netherlands Albert S. Y. Wong's profile →
Citations per field
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Albert S. Y. Wong · 1×
Citations per year

Countries citing papers authored by Gábor Holló

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Holló

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202072
2 201733
3 202028
4 202125
5 202119
6 202218
7 202216
8 202116
9 202216
10 201815
11 202115
12 201914
13 202113
14 201510
15 20229
16 20168
17 20208
18 20247
19 20177
20 20147

About Gábor Holló

Gábor Holló is a scholar working on Materials Chemistry, Molecular Biology, Biomedical Engineering, Computer Networks and Communications and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 440 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (9 papers), Photoreceptor and optogenetics research (9 papers), Pickering emulsions and particle stabilization (8 papers), Lipid Membrane Structure and Behavior (6 papers), Electrostatics and Colloid Interactions (5 papers), Gold and Silver Nanoparticles Synthesis and Applications (5 papers), Supramolecular Self-Assembly in Materials (4 papers) and Ionic liquids properties and applications (3 papers). The work is most often cited by research in Biomaterials (95 citations), Cellular and Molecular Neuroscience (75 citations), Condensed Matter Physics (43 citations), Computer Networks and Communications (71 citations) and Biomedical Engineering (122 citations). Gábor Holló has collaborated with scholars based in Hungary, Japan and Italy. Frequent co-authors include István Lagzi, Federico Rossi, Ylenia Miele, Hideyuki Nakanishi, Zoltán Hórvölgyi, Emiliano Altamura, Rózsa Szűcs, Imre Derényi, Sung Ho Yang and András Deák. Their work appears in journals such as Crystal Growth & Design, The Journal of Physical Chemistry A, Scientific Reports, The Journal of Physical Chemistry Letters and Langmuir.

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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