P. Štrop

1.4k citations
47 papers · 1.1k · h-index 18

Impact in

Papers in

    • Protein purification and stability 8
    • Chemical Synthesis and Analysis 8
    • Biochemical and Structural Characterization 5
    • Biopolymer Synthesis and Applications 4
    • Analytical Chemistry and Chromatography 12

P. Štrop

45 papers receiving 1.1k citations

Peers

P. Štrop
Comparison fields: 5 of 85
  • Virology 346
  • Infectious Diseases 358
  • Spectroscopy 210
  • Molecular Biology 680
  • Organic Chemistry 226
Replace Wayne K. Herber with:
Wayne K. Herber United States
Andrew F. Wilderspin United Kingdom
Juraj Sedláček Czechia
Harry Ford United States
Steven Tuske United States
Pierre Bonneau Canada
Patricia Clark United States
Antonin Kröhn United Kingdom
Gary T. Wang United States
James A. Nieman Canada
P. Štrop relative to Wayne K. Herber United States Wayne K. Herber's profile →
Citations per field
00.5×4.6×
Wayne K. Herber · 1×
Citations per year

Countries citing papers authored by P. Štrop

Since Specialization
Citations

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

Fields of papers citing papers by P. Štrop

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990182
2 1995116
3 1988110
4 199663
5 199060
6 199549
7 197648
8 199038
9 199837
10 197836
11 197823
12 199223
13 197622
14 197921
15 199321
16 201720
17 197820
18 199319
19 197416
20 199616

About P. Štrop

P. Štrop is a scholar working on Molecular Biology, Spectroscopy, Infectious Diseases, Virology and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Analytical Chemistry and Chromatography (12 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Protein purification and stability (8 papers), HIV/AIDS drug development and treatment (8 papers), Chemical Synthesis and Analysis (8 papers), HIV Research and Treatment (8 papers), Biochemical and Structural Characterization (5 papers) and Biopolymer Synthesis and Applications (4 papers). The work is most often cited by research in Virology (346 citations), Infectious Diseases (358 citations), Spectroscopy (210 citations), Molecular Biology (680 citations) and Organic Chemistry (226 citations). P. Štrop has collaborated with scholars based in Czechia, United States and India. Frequent co-authors include O. Mikeš, F. Mikeš, Michal Lebl, Juraj Sedláček, J. Čoupek, Jan Konvalinka, Nikolai Sepetov, Viktor Krchňák, Libuše Pavlíčková and Ben M. Dunn. Their work appears in journals such as Journal of Chromatography A, Biochemistry, Journal of Biological Chemistry, The Journal of Physical Chemistry and Annals of the New York Academy of Sciences.

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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