László Hiripi
Impact in
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- Neurobiology and Insect Physiology Research
- Neuropeptides and Animal Physiology
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
Papers in
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- Neurobiology and Insect Physiology Research 29
- Neuropeptides and Animal Physiology 12
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- Pharmacological Effects and Assays 9
- Co-authors
- George B. StefanoZsuzsanna BöszeKatalin S.-RózsaJ. SalánkiKároly ElekesAttila AszódiZsuzsa BöszeÁgnes Vehovszky
- Journals
- Transgenic Research (6 papers)PLoS ONE (5 papers)Cell and Tissue Research (3 papers)Cellular and Molecular Life Sciences (3 papers)The Journal of Comparative Neurology (3 papers)
- Partner nations
- HungaryGermanyUnited States
In The Last Decade
László Hiripi
96 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 114
- Cellular and Molecular Neuroscience 527
- Molecular Biology 912
- Genetics 363
- Immunology and Allergy 65
- Aging 16
Countries citing papers authored by László Hiripi
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2020 | 17 | |
| 3 | 2017 | 5 | |
| 4 | 2017 | 11 | |
| 5 | 2016 | 7 | |
| 6 | 2016 | 1 | |
| 7 | 2016 | 16 | |
| 8 | 2014 | 50 | |
| 9 | 2014 | 73 | |
| 10 | 2013 | 18 | |
| 11 | 2011 | 13 | |
| 12 | 2010 | 18 | |
| 13 | 2010 | 15 | |
| 14 | 2009 | 19 | |
| 15 | 2008 | 11 | |
| 16 | 2008 | 28 | |
| 17 | 2004 | 8 | |
| 18 | 2004 | 28 | |
| 19 | 2004 | 1 | |
| 20 | 2003 | 24 |
About László Hiripi
László Hiripi is a scholar working on Cellular and Molecular Neuroscience, Animal Science and Zoology, Genetics, Immunology and Allergy and Molecular Biology, 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 (527 citations), Molecular Biology (912 citations), Genetics (363 citations), Immunology and Allergy (65 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, Zsuzsa Bösze, Ágnes Vehovszky, Dániel Silhavy and Zsuzsanna Mérai. Their work appears in journals such as Transgenic Research, PLoS ONE, Cell and Tissue Research, Cellular and Molecular Life Sciences and The Journal of Comparative Neurology.
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.