Marcin Gackowski
Impact in
- Endocrine and Autonomic Systems top 10%
- Circadian rhythm and melatonin
- Analytical Chemistry top 10%
- Analytical Methods in Pharmaceuticals
Papers in
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- Computational Drug Discovery Methods 12
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- Analytical Methods in Pharmaceuticals 5
- Co-authors
- Katarzyna Mądra-Gackowska (35 shared papers)Marcin Koba (19 shared papers)Karolina Szewczyk‐Golec (7 shared papers)Łukasz Szeleszczuk (26 shared papers)Alina A. Wozniak (4 shared papers)Stefan Kruszewski (6 shared papers)Marta Pawłowska (1 shared paper)Celestyna Mila-Kierzenkowska (2 shared papers)
In The Last Decade
Marcin Gackowski
45 papers receiving 388 citations
Peers
Comparison fields: 5 of 80
- Endocrine and Autonomic Systems 51
- Analytical Chemistry 40
- Drug Discovery 1
- Biochemistry 23
- Computational Theory and Mathematics 38
Countries citing papers authored by Marcin Gackowski
This map shows the geographic impact of Marcin Gackowski'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 Marcin Gackowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcin Gackowski more than expected).
Fields of papers citing papers by Marcin Gackowski
This network shows the impact of papers produced by Marcin Gackowski. 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 Marcin Gackowski. The network helps show where Marcin Gackowski may publish in the future.
Co-authors
The 25 scholars most cited alongside Marcin Gackowski, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 79 | |
| 2 | 2021 | 37 | |
| 3 | 2021 | 36 | |
| 4 | 2022 | 22 | |
| 5 | 2021 | 19 | |
| 6 | 2023 | 19 | |
| 7 | 2020 | 15 | |
| 8 | 2025 | 15 | |
| 9 | 2025 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2026 | 9 | |
| 14 | 2025 | 8 | |
| 15 | 2020 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2025 | 6 | |
| 18 | 2026 | 6 | |
| 19 | 2022 | 5 | |
| 20 | 2025 | 5 |
About Marcin Gackowski
Marcin Gackowski is a scholar working on Computational Theory and Mathematics, Analytical Chemistry, Electronic, Optical and Magnetic Materials, Materials Chemistry and Pharmaceutical Science, having authored 56 papers that have together received 397 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (12 papers), Advanced Thermoelectric Materials and Devices (7 papers), Magnetic and transport properties of perovskites and related materials (6 papers), Electronic and Structural Properties of Oxides (6 papers), Perovskite Materials and Applications (5 papers), Analytical Methods in Pharmaceuticals (5 papers), Crystal Structures and Properties (3 papers) and Nutrition and Health in Aging (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (51 citations), Analytical Chemistry (40 citations), Drug Discovery (1 citation), Biochemistry (23 citations) and Computational Theory and Mathematics (38 citations). Marcin Gackowski has collaborated with scholars based in Poland, India and Spain. Frequent co-authors include Katarzyna Mądra-Gackowska, Marcin Koba, Karolina Szewczyk‐Golec, Łukasz Szeleszczuk, Alina A. Wozniak, Stefan Kruszewski, Marta Pawłowska, Celestyna Mila-Kierzenkowska, Kornelia Kędziora-Kornatowska and Paweł Sutkowy. Their work appears in journals such as International Journal of Molecular Sciences, Molecules, Physica B Condensed Matter, Journal of Clinical Medicine and Journal of Physics and Chemistry of Solids.
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.