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 18
- Cellular Mechanics and Interactions 13
- Microtubule and mitosis dynamics 4
- Hippo pathway signaling and YAP/TAZ 3
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- Ubiquitin and proteasome pathways 2
- Co-authors
- Armando E. del Río Hernández (21 shared papers)Alistair Rice (10 shared papers)Ernesto Cortés (16 shared papers)Jennifer P. Morton (2 shared papers)Saadia A. Karim (2 shared papers)Benjamin Robinson (7 shared papers)Brian C. H. Cheung (1 shared paper)E Cortés (1 shared paper)
- Journals
- Oncogenesis (2 papers)EMBO Reports (2 papers)Scientific Reports (2 papers)Cancers (2 papers)Nature Communications (2 papers)
- Partner nations
- United KingdomUnited StatesFinland
In The Last Decade
Dariusz Lachowski
21 papers receiving 1.7k citations
Dariusz Lachowski's Hit Papers
Peers
Comparison fields: 5 of 93
- Cell Biology 699
- Immunology and Allergy 162
- Oncology 550
- Hepatology 123
- Cancer Research 202
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-authors
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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Matrix stiffness induces epithelial–mesenchymal transition and promotes chemoresistance in pancreatic cancer cells Hit paper breakdown → | 2017 | 417 |
| 2 | 2016 | 225 | |
| 3 | 2020 | 160 | |
| 4 | 2017 | 140 | |
| 5 | 2019 | 125 | |
| 6 | 2017 | 91 | |
| 7 | 2020 | 89 | |
| 8 | 2018 | 67 | |
| 9 | 2018 | 63 | |
| 10 | 2018 | 56 | |
| 11 | 2018 | 50 | |
| 12 | 2018 | 50 | |
| 13 | 2022 | 47 | |
| 14 | 2024 | 31 | |
| 15 | 2022 | 21 | |
| 16 | 2020 | 19 | |
| 17 | 2021 | 17 | |
| 18 | 2023 | 14 | |
| 19 | 2023 | 13 | |
| 20 | 2020 | 13 |
About Dariusz Lachowski
Dariusz Lachowski is a scholar working on Cell Biology, Molecular Biology, Oncology, Hepatology and Physiology, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (13 papers), Liver physiology and pathology (5 papers), Cancer Cells and Metastasis (5 papers), Microtubule and mitosis dynamics (4 papers), Erythrocyte Function and Pathophysiology (4 papers), Cell Adhesion Molecules Research (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Cell Biology (699 citations), Immunology and Allergy (162 citations), Oncology (550 citations), Hepatology (123 citations) and Cancer Research (202 citations). Dariusz Lachowski has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Armando E. del Río Hernández, Alistair Rice, Ernesto Cortés, Jennifer P. Morton, Saadia A. Karim, Benjamin Robinson, Brian C. H. Cheung, E Cortés, Antonios Chronopoulos and Krista Rombouts. Their work appears in journals such as Oncogenesis, EMBO Reports, Scientific Reports, Cancers and Nature Communications.
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.