Michał Szulc
- Molecular Biology
- Plant Science
- Complementary and alternative medicine top 5%
- Nutrition and Dietetics top 10%
- Pharmacology top 10%
- Co-authors
- Przemysław Ł. MikołajczakMałgorzata KujawskaJadwiga Jodynis‐LiebertRadosław KujawskiMarcin OżarowskiAnna BogaczEwa KamińskaJoanna Bartkowiak-Wieczorek
- Topics
- Neural Networks and Applications (8 papers)Pharmacological Effects of Natural Compounds (7 papers)Medicinal Plants and Neuroprotection (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsInternational Journal of Molecular Sciences
- Partner nations
- PolandSwitzerlandFrance
In The Last Decade
Michał Szulc
47 papers receiving 738 citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 220
- Plant Science 158
- Complementary and alternative medicine 147
- Nutrition and Dietetics 135
- Pharmacology 122
Countries citing papers authored by Michał Szulc
This map shows the geographic impact of Michał Szulc'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 Szulc with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michał Szulc more than expected).
Fields of papers citing papers by Michał Szulc
This network shows the impact of papers produced by Michał Szulc. 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 Szulc. The network helps show where Michał Szulc may publish in the future.
Co-authorship network of co-authors of Michał Szulc
This figure shows the co-authorship network connecting the top 25 collaborators of Michał Szulc. A scholar is included among the top collaborators of Michał Szulc 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 Szulc. Michał Szulc is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 8 | |
| 6 | 13 | |
| 7 | 28 | |
| 8 | 31 | |
| 9 | 46 | |
| 10 | 1 | |
| 11 | 11 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | Implementation Issues of Kohonen Self-Organizing Map Realized on FPGA | 3 |
| 15 | 36 | |
| 16 | An FPGA implementation of the asynchronous programmable neighborhood mechanism for WTM Self-Organizing Map | 10 |
| 17 | The system supporting the clinical observation of eyeball movements | 1 |
| 18 | 30 | |
| 19 | The interpretation of oligoclonal bands based on artiÞ cial neuronal networks | 0 |
| 20 | 2 |
About Michał Szulc
Michał Szulc is a scholar working on Complementary and alternative medicine, Pharmacology and Biochemistry, having authored 50 papers that have together received 755 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Pharmacological Effects of Natural Compounds (7 papers) and Medicinal Plants and Neuroprotection (5 papers). The work is most often cited by research in Complementary and alternative medicine (147 citations), Biochemistry (101 citations) and Nutrition and Dietetics (135 citations). Michał Szulc has collaborated with scholars based in Poland, Switzerland and France. Frequent co-authors include Przemysław Ł. Mikołajczak, Małgorzata Kujawska, Jadwiga Jodynis‐Liebert, Radosław Kujawski, Marcin Ożarowski, Anna Bogacz, Ewa Kamińska, Joanna Bartkowiak-Wieczorek, Rafał Długosz and Agnieszka Gryszczyńska. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports 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.