László Polgár

6.8k citations
139 papers · 4.8k · h-index 37

Impact in

Papers in

    • Signaling Pathways in Disease 10
    • Protein Hydrolysis and Bioactive Peptides 10
    • Biochemical and Molecular Research 9
    • Peptidase Inhibition and Analysis 59

László Polgár

139 papers receiving 4.5k citations

Peers

László Polgár
Comparison fields: 5 of 133
  • Oncology 2.0k
  • Cellular and Molecular Neuroscience 1.1k
  • Biotechnology 372
  • Molecular Biology 2.9k
  • Cancer Research 382
Replace TAKAAKI AOYAGI with:
TAKAAKI AOYAGI Japan
MASA HAMADA Japan
P. Brick United Kingdom
Milton T. Stubbs Germany
Fred Naider United States
Mark A. Hermodson United States
Jordan Tang United States
Janet Finer-Moore United States
Kenji Takahashi Japan
Joel D. A. Tyndall New Zealand
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Citations per field
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Citations per year

Countries citing papers authored by László Polgár

Since Specialization
Citations

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

Fields of papers citing papers by László Polgár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998419
2 2005345
3 2002269
4 1982135
5 1966125
6 1974124
7
Mechanisms of Protease Action
1989122
8 1967106
9 1973100
10 198898
11 200891
12 200090
13 198374
14 200172
15 197568
16 198766
17 199156
18 200053
19 199453
20 200452

About László Polgár

László Polgár is a scholar working on Molecular Biology, Oncology, Cellular and Molecular Neuroscience, Organic Chemistry and Materials Chemistry, having authored 139 papers that have together received 4.8k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (59 papers), Neuropeptides and Animal Physiology (36 papers), Enzyme Structure and Function (15 papers), Diabetes Treatment and Management (11 papers), Signaling Pathways in Disease (10 papers), Protein Hydrolysis and Bioactive Peptides (10 papers), Protease and Inhibitor Mechanisms (10 papers) and Biochemical and Molecular Research (9 papers). The work is most often cited by research in Oncology (2.0k citations), Cellular and Molecular Neuroscience (1.1k citations), Biotechnology (372 citations), Molecular Biology (2.9k citations) and Cancer Research (382 citations). László Polgár has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Zoltán Szeltner, Vilmos Fülöp, Myron L. Bender, Zsolt Böcskei, Bence Asbóth, Tünde Juhász, Frank Jordan, Dean Rea, Juan F. García‐Reyes and Jim Hardie. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, European Journal of Biochemistry, FEBS Letters and Biochemical Journal.

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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