Noemi Szekély

1.8k citations
50 papers · 1.5k indexed · 1 hit paper · h-index 20

Noemi Szekély

49 papers receiving 1.5k citations

Hit Papers

Successful reprogramming of cellular protein production t...4042018202620202023100200300400

Peers

Noemi Szekély
Comparison fields: 5 of 113
  • Surfaces, Coatings and Films 144
  • Filtration and Separation 37
  • Biomaterials 227
  • Polymers and Plastics 208
  • Fluid Flow and Transfer Processes 82
Replace Aruna Dhathathreyan with:
Aruna Dhathathreyan India
Gaetano Mangiapia Italy
Quinn A. Besford Australia
David A. Hoagland United States
Janaky Narayanan India
Ann E. Terry United Kingdom
Ana Belén Jódar‐Reyes Spain
Patrick Koelsch Germany
Ingo Hoffmann Germany
Barbara Jachimska Poland
Noemi Szekély relative to Aruna Dhathathreyan India Aruna Dhathathreyan's profile →
Citations per field
00.5×3.8×
Aruna Dhathathreyan · 1×
Citations per year

Countries citing papers authored by Noemi Szekély

Since Specialization
Citations

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

Fields of papers citing papers by Noemi Szekély

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20209
2 20201
3 202012
4 201934
5 20177
6 201645
7 201630
8 20151
9 201517
10 201523
11 201531
12 201418
13 201441
14 201411
15 201411
16 201455
17 20146
18 201012
19 200819
20 200711

About Noemi Szekély

Noemi Szekély is a scholar working on Filtration and Separation, Fluid Flow and Transfer Processes and Polymers and Plastics, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (8 papers), Surfactants and Colloidal Systems (7 papers), Fuel Cells and Related Materials (6 papers), Thermodynamic properties of mixtures (6 papers), Material Dynamics and Properties (5 papers), Conducting polymers and applications (5 papers), Membrane-based Ion Separation Techniques (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). The work is most often cited by research in Surfaces, Coatings and Films (144 citations), Filtration and Separation (37 citations) and Biomaterials (227 citations). Noemi Szekély has collaborated with scholars based in Germany, Hungary and Czechia. Frequent co-authors include Aurel Rădulescu, Stefano Bartesaghi, Alexander Kvist, Xiaoqiu Wu, Aleksandra P. Dabkowska, Tomas Kjellman, Marianna Yanez Arteta, Lennart Lindfors, Johan Bergenholtz and Simonetta Wallin. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología 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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