Maciej Dobrzyński
- Molecular Biology
- Biophysics top 2%
- Cell Biology top 10%
- Genetics
- Oncology
- Co-authors
- Frank J. BruggemanOlivier PertzBoris Ν. KholodenkoYannick BlumMarc‐Antoine JacquesJoke BlomJaap A. KaandorpPaolo Armando Gagliardi
- Topics
- Gene Regulatory Network Analysis (14 papers)Cell Image Analysis Techniques (8 papers)Single-cell and spatial transcriptomics (6 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaThe Journal of Cell Biology
- Partner nations
- SwitzerlandIrelandUnited States
In The Last Decade
Maciej Dobrzyński
32 papers receiving 832 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 649
- Biophysics 144
- Cell Biology 132
- Genetics 94
- Oncology 62
Countries citing papers authored by Maciej Dobrzyński
This map shows the geographic impact of Maciej Dobrzyński'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 Maciej Dobrzyński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maciej Dobrzyński more than expected).
Fields of papers citing papers by Maciej Dobrzyński
This network shows the impact of papers produced by Maciej Dobrzyński. 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 Maciej Dobrzyński. The network helps show where Maciej Dobrzyński may publish in the future.
Co-authorship network of co-authors of Maciej Dobrzyński
This figure shows the co-authorship network connecting the top 25 collaborators of Maciej Dobrzyński. A scholar is included among the top collaborators of Maciej Dobrzyński 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 Maciej Dobrzyński. Maciej Dobrzyński is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 11 | |
| 3 | 13 | |
| 4 | 26 | |
| 5 | 9 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 17 | |
| 9 | 94 | |
| 10 | 6 | |
| 11 | Ocena skłonności do kooperacji przy realizacji procesów biznesowych w klastrze | 1 |
| 12 | 166 | |
| 13 | 27 | |
| 14 | Analiza bibliometryczna artykułów w „Gospodarce Materiałowej i Logistyce” z lat 2010-2012 | 1 |
| 15 | 8 | |
| 16 | Modele dojrzałości procesowej łańcuchów dostaw | 1 |
| 17 | Diagnozowanie poziomu dojrzałości procesowej członków inicjatywy klastrowej | 2 |
| 18 | 61 | |
| 19 | 17 | |
| 20 | Mapy interesariuszy w badaniach łańcucha dostaw | 1 |
About Maciej Dobrzyński
Maciej Dobrzyński is a scholar working on Biophysics, Molecular Biology and Strategy and Management, having authored 34 papers that have together received 841 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (14 papers), Cell Image Analysis Techniques (8 papers) and Single-cell and spatial transcriptomics (6 papers). The work is most often cited by research in Biophysics (144 citations), Molecular Biology (649 citations) and Cell Biology (132 citations). Maciej Dobrzyński has collaborated with scholars based in Switzerland, Ireland and United States. Frequent co-authors include Frank J. Bruggeman, Olivier Pertz, Boris Ν. Kholodenko, Yannick Blum, Marc‐Antoine Jacques, Joke Blom, Jaap A. Kaandorp, Paolo Armando Gagliardi, Dirk Fey and Hyunryul Ryu. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Cell Biology.
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.