Peter Gajdoš
Impact in
- Ecological Modeling top 10%
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
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- Forest Ecology and Biodiversity Studies 8
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- Lipid metabolism and biosynthesis 9
- Co-authors
- Milan Čertík (19 shared papers)Jean‐Marc Nicaud (8 shared papers)Tristan Rossignol (3 shared papers)Rodrigo Ledesma‐Amaro (4 shared papers)L. Halada (5 shared papers)Benjamín Jarčuška (1 shared paper)Jana Špulerová (3 shared papers)Douglas Evans (1 shared paper)
In The Last Decade
Peter Gajdoš
48 papers receiving 524 citations
Peers
Comparison fields: 5 of 92
- Ecological Modeling 33
- Biochemistry 51
- Insect Science 60
- Nature and Landscape Conservation 47
- Ecology 94
Countries citing papers authored by Peter Gajdoš
This map shows the geographic impact of Peter Gajdoš'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 Peter Gajdoš with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Gajdoš more than expected).
Fields of papers citing papers by Peter Gajdoš
This network shows the impact of papers produced by Peter Gajdoš. 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 Peter Gajdoš. The network helps show where Peter Gajdoš may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Gajdoš, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 71 | |
| 2 | 2016 | 50 | |
| 3 | 2019 | 48 | |
| 4 | 2021 | 40 | |
| 5 | 2019 | 29 | |
| 6 | 2016 | 25 | |
| 7 | 2015 | 23 | |
| 8 | 2019 | 21 | |
| 9 | 2020 | 19 | |
| 10 | 2013 | 19 | |
| 11 | 2015 | 17 | |
| 12 | 2021 | 13 | |
| 13 | 2015 | 11 | |
| 14 | 2019 | 11 | |
| 15 | 2022 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2000 | 10 | |
| 18 | 2005 | 9 | |
| 19 | 2019 | 8 | |
| 20 | 2022 | 7 |
About Peter Gajdoš
Peter Gajdoš is a scholar working on Insect Science, Biochemistry, Genetics, Ecology, Evolution, Behavior and Systematics and Paleontology, having authored 57 papers that have together received 533 indexed citations. Recurring topics across this work include Spider Taxonomy and Behavior Studies (13 papers), Microbial Metabolic Engineering and Bioproduction (12 papers), Lipid metabolism and biosynthesis (9 papers), Forest Ecology and Biodiversity Studies (8 papers), Lepidoptera: Biology and Taxonomy (8 papers), Subterranean biodiversity and taxonomy (7 papers), Ecology and Vegetation Dynamics Studies (6 papers) and Enzyme Catalysis and Immobilization (5 papers). The work is most often cited by research in Ecological Modeling (33 citations), Biochemistry (51 citations), Insect Science (60 citations), Nature and Landscape Conservation (47 citations) and Ecology (94 citations). Peter Gajdoš has collaborated with scholars based in Slovakia, Czechia and France. Frequent co-authors include Milan Čertík, Jean‐Marc Nicaud, Tristan Rossignol, Rodrigo Ledesma‐Amaro, L. Halada, Benjamín Jarčuška, Jana Špulerová, Douglas Evans, Søren Toft and Matej Mojses. Their work appears in journals such as ZooKeys, Insect Conservation and Diversity, Journal of Arachnology, Agricultural Economics (Zemědělská ekonomika) and Biological Conservation.
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.