Csilla Gergely

3.5k citations
115 papers · 2.7k indexed · h-index 27

Impact in

Papers in

Csilla Gergely

114 papers receiving 2.7k citations

Peers

Csilla Gergely
Comparison fields: 5 of 118
  • Surfaces, Coatings and Films 1.1k
  • Biomaterials 474
  • Molecular Medicine 117
  • Cellular and Molecular Neuroscience 377
  • Bioengineering 112
Replace Ning‐Ping Huang with:
Ning‐Ping Huang China
Elena Martínez Spain
Youri Arntz France
Madoka Takai Japan
Ludovic Richert France
Henning Menzel Germany
Patrick van Rijn Netherlands
Woo Kyung Cho South Korea
R. Langer United States
Kevin L. Prime United States
Csilla Gergely relative to Ning‐Ping Huang China Ning‐Ping Huang's profile →
Citations per field
00.5×2.5×
Ning‐Ping Huang · 1×
Citations per year

Countries citing papers authored by Csilla Gergely

Since Specialization
Citations

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

Fields of papers citing papers by Csilla Gergely

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20243
3 20237
4 20231
5 20218
6 20211
7 202012
8 201942
9 20145
10 20137
11 201328
12 201219
13 20125
14 201227
15 20128
16 200926
17 200123
18 199836
19 19976
20 199336

About Csilla Gergely

Csilla Gergely is a scholar working on Surfaces, Coatings and Films, Biophysics, Biomaterials, Cellular and Molecular Neuroscience and Bioengineering, having authored 115 papers that have together received 2.7k indexed citations. Recurring topics across this work include Polymer Surface Interaction Studies (20 papers), Photoreceptor and optogenetics research (15 papers), Silicon Nanostructures and Photoluminescence (15 papers), Diatoms and Algae Research (13 papers), Advanced biosensing and bioanalysis techniques (13 papers), Nanowire Synthesis and Applications (12 papers), Cellular Mechanics and Interactions (11 papers) and Force Microscopy Techniques and Applications (10 papers). The work is most often cited by research in Surfaces, Coatings and Films (1.1k citations), Biomaterials (474 citations), Molecular Medicine (117 citations), Cellular and Molecular Neuroscience (377 citations) and Bioengineering (112 citations). Csilla Gergely has collaborated with scholars based in France, Hungary and Mexico. Frequent co-authors include Pierre Schaaf, Frédéric Cuisinier, Catherine Picart, J.‐C. Voegel, Gero Decher, Bernard Senger, György Váró, Ph. Lavalle, Jean‐Claude Voegel and Marta Martin. Their work appears in journals such as Langmuir, Biophysical Journal, Applied Physics Letters, Journal of Biomedical Optics and The Journal of Physical Chemistry B.

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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