László Petri

621 citations
32 papers · 508 · h-index 11

Impact in

Papers in

László Petri

28 papers receiving 490 citations

Peers

László Petri
Comparison fields: 5 of 62
  • Computational Theory and Mathematics 151
  • Organic Chemistry 233
  • Molecular Biology 210
  • Molecular Medicine 9
  • Infectious Diseases 24
Replace Galyna P. Volynets with:
Galyna P. Volynets Ukraine
Brian Sherer Germany
Fandi Sutanto Netherlands
Nahoum G. Anthony United Kingdom
Jonathan E. Bock Germany
Stefania Colarusso Italy
Nicholas Simmons United States
Cynthia Hess Kenny United States
Maurice D. Lee United States
Chyuan-Chuan Wu Taiwan
László Petri relative to Galyna P. Volynets Ukraine Galyna P. Volynets's profile →
Citations per field
00.5×2×3.3×
Galyna P. Volynets · 1×
Citations per year

Countries citing papers authored by László Petri

Since Specialization
Citations

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

Fields of papers citing papers by László Petri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018105
2 202091
3 202037
4 202032
5 202130
6 202029
7 202024
8 202022
9 202218
10 202216
11 202114
12 202310
13 20218
14 20228
15 20227
16 20257
17 20236
18 20236
19 20246
20 20246

About László Petri

László Petri is a scholar working on Organic Chemistry, Computational Theory and Mathematics, Molecular Biology, Infectious Diseases and Microbiology, having authored 32 papers that have together received 508 indexed citations. Recurring topics across this work include Click Chemistry and Applications (16 papers), Chemical Synthesis and Analysis (8 papers), Computational Drug Discovery Methods (7 papers), Synthesis and Characterization of Heterocyclic Compounds (3 papers), Protein Degradation and Inhibitors (2 papers), Carbohydrate Chemistry and Synthesis (2 papers), Sulfur-Based Synthesis Techniques (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Computational Theory and Mathematics (151 citations), Organic Chemistry (233 citations), Molecular Biology (210 citations), Molecular Medicine (9 citations) and Infectious Diseases (24 citations). László Petri has collaborated with scholars based in Hungary, Slovenia and United Kingdom. Frequent co-authors include György Miklós Keserű, Péter Ábrányi‐Balogh, Tı́mea Imre, Aaron B. Keeley, Stanislav Gobec, György G. Ferenczy, Martina Hrast, Andrea Scarpino, Péter A. Szijj and Dávid Bajusz. Their work appears in journals such as European Journal of Medicinal Chemistry, Pharmaceuticals, ChemBioChem, Journal of Medicinal Chemistry and ACS Chemical 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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