J. László

81 papers receiving 984 citations

Peers

J. László
Comparison fields: 5 of 105
  • Biophysics 206
  • Physiology 60
  • Cellular and Molecular Neuroscience 175
  • Physiology 192
  • Computational Mechanics 141
Replace Shinji Ueno with:
Shinji Ueno Japan
Jacob L. Eberhardt Sweden
J. R. Alger United States
Т. Й. Кару Russia
Alexandre Vignaud France
James L. Rae United States
Silvano Di Luzio Italy
Pierre-Marie Luc Robitaille United States
Ronald W. Waynant United States
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J. László relative to Shinji Ueno Japan Shinji Ueno's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. László

Since Specialization
Citations

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

Fields of papers citing papers by J. László

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199374
2 197864
3 198059
4 201347
5 200745
6 199136
7 199133
8 200733
9 200832
10 199027
11 200827
12 198326
13 198024
14 199124
15 201423
16 200921
17 200920
18 200919
19
The streak gonad syndrome.
197918
20 198617

About J. László

J. László is a scholar working on Biophysics, Computational Mechanics, Genetics, Cellular and Molecular Neuroscience and Mechanics of Materials, having authored 89 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (16 papers), Electromagnetic Fields and Biological Effects (16 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (10 papers), Sexual Differentiation and Disorders (9 papers), Metal and Thin Film Mechanics (8 papers), Atomic and Molecular Physics (6 papers), Genomic variations and chromosomal abnormalities (5 papers) and Integrated Circuits and Semiconductor Failure Analysis (5 papers). The work is most often cited by research in Biophysics (206 citations), Physiology (60 citations), Cellular and Molecular Neuroscience (175 citations), Physiology (192 citations) and Computational Mechanics (141 citations). J. László has collaborated with scholars based in Hungary, Germany and Switzerland. Frequent co-authors include W. Eckstein, Klára Gyires, P Bõsze, Hans Rudolf Olpe, Joachim Roth, Carmen García-Rosales, Eric Gauthier, András Dávid Tóth, A. Schellenberg and Alfred F. Glatt. Their work appears in journals such as Bioelectromagnetics, Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms, Journal of Nuclear Materials, Vacuum and International Journal of Radiation Biology.

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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