László Polgár

6.9k citations
150 papers · 6.0k · h-index 40

Impact in

  • Oncology top 1%
    • Peptidase Inhibition and Analysis
    • Insect-Plant Interactions and Control
    • Insect and Pesticide Research

Papers in

László Polgár

149 papers receiving 5.6k citations

Peers

László Polgár
Comparison fields: 5 of 132
  • Oncology 2.3k
  • Insect Science 922
  • Cellular and Molecular Neuroscience 1.3k
  • Biotechnology 432
  • Molecular Biology 3.3k
Replace Byung‐Ha Oh with:
Byung‐Ha Oh South Korea
TAKAAKI AOYAGI Japan
Mark A. Hermodson United States
MASA HAMADA Japan
Milton T. Stubbs Germany
Mark Basil Swindells United Kingdom
Fred R. Naider United States
Peter John Hart United States
David L. Ollis Australia
Michael Groll Germany
László Polgár relative to Byung‐Ha Oh South Korea Byung‐Ha Oh's profile →
Citations per field
00.5×2×3.0×
Byung‐Ha Oh · 1×
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 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998431
2 2005362
3 1991346
4 2002276
5 1994269
6 1966152
7 1982150
8 1991133
9
Mechanisms of Protease Action
1989132
10 1974131
11 1967117
12 1973109
13 1988105
14 200897
15 200094
16 198377
17 200174
18 197571
19 198768
20 197458

About László Polgár

László Polgár is a scholar working on Oncology, Cellular and Molecular Neuroscience, Molecular Biology, Cancer Research and Insect Science, having authored 150 papers that have together received 6.0k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (64 papers), Neuropeptides and Animal Physiology (37 papers), Enzyme Structure and Function (15 papers), Protease and Inhibitor Mechanisms (13 papers), Diabetes Treatment and Management (12 papers), Enzyme Production and Characterization (10 papers), Biochemical and Molecular Research (10 papers) and Signaling Pathways in Disease (10 papers). The work is most often cited by research in Oncology (2.3k citations), Insect Science (922 citations), Cellular and Molecular Neuroscience (1.3k citations), Biotechnology (432 citations) and Molecular Biology (3.3k 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, A. John Barrett, Neil David Rawlings, Béla Darvas and Frank Jordan. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, European Journal of Biochemistry, Biochemical Journal and FEBS Letters.

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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