Mateusz Mołoń
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Insect Science top 5%
- Insect and Pesticide Research
- Insect-Plant Interactions and Control
Papers in
-
- Fungal and yeast genetics research 16
- DNA Repair Mechanisms 6
- Genomics, phytochemicals, and oxidative stress 3
- RNA and protein synthesis mechanisms 3
- Aging 13
- Genetics, Aging, and Longevity in Model Organisms 13
- Co-authors
- Sabina Galiniak (13 shared papers)Roma Durak (5 shared papers)Monika Kula-Maximenko (10 shared papers)Renata Zadrąg‐Tęcza (6 shared papers)Jacek Żebrowski (4 shared papers)Karolina Stępień (3 shared papers)Marek Tchórzewski (7 shared papers)Izabela Sadowska‐Bartosz (1 shared paper)
In The Last Decade
Mateusz Mołoń
44 papers receiving 665 citations
Peers
Comparison fields: 5 of 91
- Aging 122
- Insect Science 110
- Biochemistry 37
- Molecular Biology 325
- Plant Science 122
Countries citing papers authored by Mateusz Mołoń
This map shows the geographic impact of Mateusz Mołoń'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 Mateusz Mołoń with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mateusz Mołoń more than expected).
Fields of papers citing papers by Mateusz Mołoń
This network shows the impact of papers produced by Mateusz Mołoń. 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 Mateusz Mołoń. The network helps show where Mateusz Mołoń may publish in the future.
Co-authors
The 25 scholars most cited alongside Mateusz Mołoń, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 47 | |
| 2 | 2020 | 42 | |
| 3 | 2019 | 39 | |
| 4 | 2020 | 37 | |
| 5 | 2017 | 34 | |
| 6 | 2014 | 31 | |
| 7 | 2018 | 29 | |
| 8 | 2017 | 29 | |
| 9 | 2022 | 29 | |
| 10 | 2020 | 28 | |
| 11 | 2021 | 27 | |
| 12 | 2016 | 22 | |
| 13 | 2015 | 20 | |
| 14 | 2021 | 19 | |
| 15 | 2022 | 18 | |
| 16 | 2021 | 17 | |
| 17 | 2023 | 16 | |
| 18 | 2022 | 15 | |
| 19 | 2013 | 15 | |
| 20 | 2015 | 15 |
About Mateusz Mołoń
Mateusz Mołoń is a scholar working on Molecular Biology, Aging, Insect Science, Plant Science and Pharmacology, having authored 46 papers that have together received 670 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (16 papers), Genetics, Aging, and Longevity in Model Organisms (13 papers), Insect and Pesticide Research (7 papers), DNA Repair Mechanisms (6 papers), Insect-Plant Interactions and Control (4 papers), Genomics, phytochemicals, and oxidative stress (3 papers), RNA and protein synthesis mechanisms (3 papers) and Bee Products Chemical Analysis (3 papers). The work is most often cited by research in Aging (122 citations), Insect Science (110 citations), Biochemistry (37 citations), Molecular Biology (325 citations) and Plant Science (122 citations). Mateusz Mołoń has collaborated with scholars based in Poland, Germany and Bulgaria. Frequent co-authors include Sabina Galiniak, Roma Durak, Monika Kula-Maximenko, Renata Zadrąg‐Tęcza, Jacek Żebrowski, Karolina Stępień, Marek Tchórzewski, Izabela Sadowska‐Bartosz, Grzegorz Bartosz and Tomasz Durak. Their work appears in journals such as Biogerontology, Antioxidants, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Cells and International Journal of Molecular 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.