Dariusz Lachowski
Impact in
- Cell Biology top 2%
- Cellular Mechanics and Interactions
- Hippo pathway signaling and YAP/TAZ
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
- Cell Biology 17
- Cellular Mechanics and Interactions 12
- Microtubule and mitosis dynamics 4
- Hippo pathway signaling and YAP/TAZ 3
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- Liver physiology and pathology 5
- Co-authors
- Armando E. del Río HernándezAlistair RiceErnesto CortésSaadia A. KarimBenjamin RobinsonJennifer P. MortonE CortésBrian C. H. Cheung
- Journals
- Scientific Reports (2 papers)Oncogenesis (2 papers)Nature Communications (2 papers)EMBO Reports (2 papers)Cancers (2 papers)
- Partner nations
- United KingdomFinlandUnited States
In The Last Decade
Dariusz Lachowski
20 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Cell Biology 703
- Immunology and Allergy 166
- Oncology 569
- Hepatology 132
- Cancer Research 206
Countries citing papers authored by Dariusz Lachowski
This map shows the geographic impact of Dariusz Lachowski'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 Dariusz Lachowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dariusz Lachowski more than expected).
Fields of papers citing papers by Dariusz Lachowski
This network shows the impact of papers produced by Dariusz Lachowski. 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 Dariusz Lachowski. The network helps show where Dariusz Lachowski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dariusz Lachowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 28 | |
| 2 | 2023 | 13 | |
| 3 | 2023 | 11 | |
| 4 | 2022 | 46 | |
| 5 | 2022 | 19 | |
| 6 | 2021 | 14 | |
| 7 | 2020 | 81 | |
| 8 | 2020 | 152 | |
| 9 | 2020 | 11 | |
| 10 | 2020 | 18 | |
| 11 | 2019 | 120 | |
| 12 | 2018 | 47 | |
| 13 | 2018 | 62 | |
| 14 | 2018 | 56 | |
| 15 | 2018 | 49 | |
| 16 | 2018 | 65 | |
| 17 | Matrix stiffness induces epithelial–mesenchymal transition and promotes chemoresistance in pancreatic cancer cells Hit paper breakdown → | 2017 | 401 |
| 18 | 2017 | 91 | |
| 19 | 2017 | 136 | |
| 20 | 2016 | 215 |
About Dariusz Lachowski
Dariusz Lachowski is a scholar working on Cell Biology, Hepatology, Immunology and Allergy, Physiology and Oncology, having authored 20 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (12 papers), Liver physiology and pathology (5 papers), Erythrocyte Function and Pathophysiology (4 papers), Microtubule and mitosis dynamics (4 papers), Cancer Cells and Metastasis (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Cell Adhesion Molecules Research (3 papers) and Retinoids in leukemia and cellular processes (2 papers). The work is most often cited by research in Cell Biology (703 citations), Immunology and Allergy (166 citations), Oncology (569 citations), Hepatology (132 citations) and Cancer Research (206 citations). Dariusz Lachowski has collaborated with scholars based in United Kingdom, Finland and United States. Frequent co-authors include Armando E. del Río Hernández, Alistair Rice, Ernesto Cortés, Saadia A. Karim, Benjamin Robinson, Jennifer P. Morton, E Cortés, Brian C. H. Cheung, Antonios Chronopoulos and Krista Rombouts. Their work appears in journals such as Scientific Reports, Oncogenesis, Nature Communications, EMBO Reports and Cancers.
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.