Laszlo Ujj

27 papers receiving 536 citations

Peers

Laszlo Ujj
Comparison fields: 5 of 25
  • Cellular and Molecular Neuroscience 394
  • Biophysics 49
  • Physical and Theoretical Chemistry 71
  • Atomic and Molecular Physics, and Optics 93
  • Computational Mathematics 1
Replace Allison Haigney with:
Allison Haigney United States
Arthur R. Kroon Netherlands
Suliman Adam Israel
Robin Rammelsberg Germany
Cosimo Bonetti Netherlands
Georg Souvignier Germany
Wolfgang W. Gaertner Germany
Sergey Yeremenko Netherlands
Kenton C. Hasson United States
Sofie C. Björling United States
Laszlo Ujj relative to Allison Haigney United States Allison Haigney's profile →
Citations per field
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Citations per year

Countries citing papers authored by Laszlo Ujj

Since Specialization
Citations

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

Fields of papers citing papers by Laszlo Ujj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998138
2 199988
3 199942
4 199729
5 200128
6 200526
7 199423
8 199922
9 200222
10 199714
11 199814
12 200313
13 199811
14 199610
15 19969
16 20029
17 19947
18 19957
19 20116
20 19935

About Laszlo Ujj

Laszlo Ujj is a scholar working on Cellular and Molecular Neuroscience, Biophysics, Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Spectroscopy, having authored 27 papers that have together received 541 indexed citations. Recurring topics across this work include Photoreceptor and optogenetics research (23 papers), Spectroscopy Techniques in Biomedical and Chemical Research (8 papers), Spectroscopy and Quantum Chemical Studies (2 papers), Advanced Condensed Matter Physics (1 paper), Terahertz technology and applications (1 paper), Advanced NMR Techniques and Applications (1 paper) and Physics of Superconductivity and Magnetism (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (394 citations), Biophysics (49 citations), Physical and Theoretical Chemistry (71 citations), Atomic and Molecular Physics, and Optics (93 citations) and Computational Mathematics (1 citation). Laszlo Ujj has collaborated with scholars based in United States, Israel and Ireland. Frequent co-authors include G. H. Atkinson, Michael A. Cusanovich, Gordon Tollin, Savitha Devanathan, Terrance E. Meyer, Frank Jäger, Neal W. Woodbury, A. Andrew Pacheco, Su Lin and Andrew C. Terentis. Their work appears in journals such as The Journal of Physical Chemistry A, Biophysical Journal, Chemical Physics, Journal of the American Chemical Society and Journal of Raman Spectroscopy.

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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