László Hiripi

2.4k citations
97 papers · 1.8k · h-index 25

Impact in

Papers in

László Hiripi

96 papers receiving 1.7k citations

Peers

László Hiripi
Comparison fields: 5 of 112
  • Cellular and Molecular Neuroscience 518
  • Genetics 357
  • Molecular Biology 888
  • Immunology and Allergy 63
  • Aging 16
Replace Thomas F. Roth with:
Thomas F. Roth United States
Yukiko Ogino Japan
James E. Sylvester United States
Jens Vanselow Germany
Elwood Linney United States
Paul J. Linser United States
Xiaoli Guo China
William J. Larsen United States
Takeshi Watanabe Japan
William E. Hahn United States
László Hiripi relative to Thomas F. Roth United States Thomas F. Roth's profile →
Citations per field
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Citations per year

Countries citing papers authored by László Hiripi

Since Specialization
Citations

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

Fields of papers citing papers by László Hiripi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008141
2 200185
3 201473
4 201253
5 200353
6 197352
7 201450
8 201245
9 197843
10 199642
11 197937
12 197334
13 201633
14 201232
15 200331
16 200731
17 199831
18 200828
19 200428
20 200828

About László Hiripi

László Hiripi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Ecology and Animal Science and Zoology, having authored 97 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (29 papers), Animal Genetics and Reproduction (20 papers), CRISPR and Genetic Engineering (16 papers), Neuropeptides and Animal Physiology (12 papers), Virus-based gene therapy research (11 papers), Physiological and biochemical adaptations (9 papers), Pharmacological Effects and Assays (9 papers) and Cephalopods and Marine Biology (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (518 citations), Genetics (357 citations), Molecular Biology (888 citations), Immunology and Allergy (63 citations) and Aging (16 citations). László Hiripi has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include George B. Stefano, Zsuzsanna Bösze, Katalin S.-Rózsa, J. Salánki, Károly Elekes, Attila Aszódi, Ágnes Vehovszky, Zsuzsa Bösze, Anna Hangyáné Benkovics and Zsuzsanna Mérai. Their work appears in journals such as Transgenic Research, PLoS ONE, Cell and Tissue Research, The Journal of Comparative Neurology and Cellular and Molecular Life 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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