László Prókai

6.0k citations
198 papers · 4.6k · h-index 36

Impact in

Papers in

    • Receptor Mechanisms and Signaling 18
    • Chemical Synthesis and Analysis 17
    • Mass Spectrometry Techniques and Applications 42
    • Analytical Chemistry and Chromatography 27
    • Advanced Proteomics Techniques and Applications 21

László Prókai

194 papers receiving 4.5k citations

Peers

László Prókai
Comparison fields: 5 of 142
  • Behavioral Neuroscience 223
  • Endocrinology, Diabetes and Metabolism 629
  • Spectroscopy 659
  • Cellular and Molecular Neuroscience 688
  • Molecular Biology 2.1k
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Citations per field
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Citations per year

Countries citing papers authored by László Prókai

Since Specialization
Citations

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

Fields of papers citing papers by László Prókai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 198 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004426
2 2003145
3 201096
4 200096
5 200596
6 199793
7 201690
8 199289
9 200488
10 201079
11 200771
12 201370
13 199570
14 199367
15 199965
16 200765
17 200863
18 200961
19 200560
20 200560

About László Prókai

László Prókai is a scholar working on Molecular Biology, Spectroscopy, Cellular and Molecular Neuroscience, Organic Chemistry and Endocrinology, Diabetes and Metabolism, having authored 198 papers that have together received 4.6k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (42 papers), Estrogen and related hormone effects (28 papers), Analytical Chemistry and Chromatography (27 papers), Neuropeptides and Animal Physiology (24 papers), Advanced Proteomics Techniques and Applications (21 papers), Menopause: Health Impacts and Treatments (19 papers), Receptor Mechanisms and Signaling (18 papers) and Chemical Synthesis and Analysis (17 papers). The work is most often cited by research in Behavioral Neuroscience (223 citations), Endocrinology, Diabetes and Metabolism (629 citations), Spectroscopy (659 citations), Cellular and Molecular Neuroscience (688 citations) and Molecular Biology (2.1k citations). László Prókai has collaborated with scholars based in United States, Hungary and Czechia. Frequent co-authors include Katalin Prókai-Tátrai, Stanley M. Stevens, James W. Simpkins, Nicholas Bodor, Alevtina D. Zharikova, Navin Rauniyar, William J. Simonsick, Pál Perjési, Ran Liu and Evelyn J. Perez. Their work appears in journals such as Journal of Chromatography A, International Journal of Molecular Sciences, Journal of Mass Spectrometry, Journal of Medicinal Chemistry and Rapid Communications in Mass Spectrometry.

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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