Michał Hajnos
- Plant Science
- Molecular Biology
- Spectroscopy top 5%
- Analytical Chemistry top 5%
- Food Science top 10%
- Co-authors
- Monika Waksmundzka‐HajnosAnna PetruczynikŁukasz CieślaKrystyna Skalicka‐WoźniakTeresa KowalskaAdam MatkowskiSylwester ŚlusarczykAnna Bogucka‐Kocka
- Topics
- Chromatography in Natural Products (15 papers)Analytical Chemistry and Chromatography (13 papers)Cancer Treatment and Pharmacology (8 papers)
In The Last Decade
Michał Hajnos
31 papers receiving 459 citations
Peers
Comparison fields: 5 of 69
- Plant Science 163
- Molecular Biology 155
- Spectroscopy 154
- Analytical Chemistry 139
- Food Science 123
Countries citing papers authored by Michał Hajnos
This map shows the geographic impact of Michał Hajnos'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 Michał Hajnos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Hajnos more than expected).
Fields of papers citing papers by Michał Hajnos
This network shows the impact of papers produced by Michał Hajnos. 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 Michał Hajnos. The network helps show where Michał Hajnos may publish in the future.
Co-authorship network of co-authors of Michał Hajnos
This figure shows the co-authorship network connecting the top 25 collaborators of Michał Hajnos. A scholar is included among the top collaborators of Michał Hajnos based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michał Hajnos. Michał Hajnos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 12 | |
| 3 | 13 | |
| 4 | 27 | |
| 5 | 11 | |
| 6 | 9 | |
| 7 | 14 | |
| 8 | 35 | |
| 9 | 5 | |
| 10 | 11 | |
| 11 | 49 | |
| 12 | 15 | |
| 13 | 9 | |
| 14 | 22 | |
| 15 | 14 | |
| 16 | 7 | |
| 17 | Computer optimization of the rp hplc separation of some taxoids from yew extracts | 1 |
| 18 | Influence of the extraction mode on the yield of taxoids from yew tissues -- preliminary experiments | 1 |
| 19 | 7 | |
| 20 | 14 |
About Michał Hajnos
Michał Hajnos is a scholar working on Analytical Chemistry, Complementary and alternative medicine and Spectroscopy, having authored 31 papers that have together received 480 indexed citations. Recurring topics across this work include Chromatography in Natural Products (15 papers), Analytical Chemistry and Chromatography (13 papers) and Cancer Treatment and Pharmacology (8 papers). The work is most often cited by research in Analytical Chemistry (139 citations), Biochemistry (77 citations) and Complementary and alternative medicine (89 citations). Michał Hajnos has collaborated with scholars based in Poland, Czechia and Slovakia. Frequent co-authors include Monika Waksmundzka‐Hajnos, Anna Petruczynik, Łukasz Cieśla, Krystyna Skalicka‐Woźniak, Teresa Kowalska, Adam Matkowski, Sylwester Ślusarczyk, Anna Bogucka‐Kocka, Kazimierz Głowniak and Tomasz Tuzimski. Their work appears in journals such as Food Chemistry, Journal of Chromatography A and Phytomedicine.
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.