Martin Pačesa
Impact in
- Aging top 10%
Papers in
-
- CRISPR and Genetic Engineering 8
- RNA and protein synthesis mechanisms 5
- RNA regulation and disease 3
- DNA Repair Mechanisms 3
- Protein Structure and Dynamics 3
- Advanced biosensing and bioanalysis techniques 3
- Biochemical and Structural Characterization 2
- Oncology 4
- CAR-T cell therapy research 2
- Co-authors
- Martin Jínek (3 shared papers)Marta Sawicka (1 shared paper)Irma Querques (1 shared paper)Lena Maria Muckenfuss (1 shared paper)Luuk Loeff (1 shared paper)Sandrine Georgeon (3 shared papers)Bruno E. Correia (3 shared papers)Lumír Krejčí (3 shared papers)
- Journals
- Nature (7 papers)Nucleic Acids Research (3 papers)Molecular Cell (2 papers)Nature Biotechnology (1 paper)Science (1 paper)
- Partner nations
- SwitzerlandUnited StatesNetherlands
In The Last Decade
Martin Pačesa
21 papers receiving 1.2k citations
Martin Pačesa's Hit Papers
Peers
Comparison fields: 5 of 90
- Business and International Management 46
- Aging 30
- Molecular Biology 879
- Genetics 210
- Oncology 93
Countries citing papers authored by Martin Pačesa
This map shows the geographic impact of Martin Pačesa'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 Martin Pačesa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Pačesa more than expected).
Fields of papers citing papers by Martin Pačesa
This network shows the impact of papers produced by Martin Pačesa. 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 Martin Pačesa. The network helps show where Martin Pačesa may publish in the future.
Co-authors
The 25 scholars most cited alongside Martin Pačesa, 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 | In vivo adenine base editing of PCSK9 in macaques reduces LDL cholesterol levels Hit paper breakdown → | 2021 | 312 |
| 2 | De novo design of protein interactions with learned surface fingerprints Hit paper breakdown → | 2023 | 144 |
| 3 | 2022 | 112 | |
| 4 | 2024 | 80 | |
| 5 | One-shot design of functional protein binders with BindCraft Hit paper breakdown → | 2025 | 64 |
| 6 | 2018 | 61 | |
| 7 | 2024 | 60 | |
| 8 | Design of highly functional genome editors by modelling CRISPR–Cas sequences Hit paper breakdown → | 2025 | 55 |
| 9 | 2021 | 52 | |
| 10 | 2022 | 46 | |
| 11 | 2023 | 40 | |
| 12 | Custom CRISPR–Cas9 PAM variants via scalable engineering and machine learning Hit paper breakdown → | 2025 | 40 |
| 13 | Targeting protein–ligand neosurfaces with a generalizable deep learning tool Hit paper breakdown → | 2025 | 38 |
| 14 | 2017 | 36 | |
| 15 | 2016 | 33 | |
| 16 | 2016 | 19 | |
| 17 | 2017 | 10 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2018 | 2 |
About Martin Pačesa
Martin Pačesa is a scholar working on Molecular Biology, Oncology, Genetics, Computational Theory and Mathematics and Business and International Management, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), RNA and protein synthesis mechanisms (5 papers), RNA regulation and disease (3 papers), DNA Repair Mechanisms (3 papers), Protein Structure and Dynamics (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Biochemical and Structural Characterization (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Business and International Management (46 citations), Aging (30 citations), Molecular Biology (879 citations), Genetics (210 citations) and Oncology (93 citations). Martin Pačesa has collaborated with scholars based in Switzerland, United States and Netherlands. Frequent co-authors include Martin Jínek, Marta Sawicka, Irma Querques, Lena Maria Muckenfuss, Luuk Loeff, Sandrine Georgeon, Bruno E. Correia, Lumír Krejčí, Casper A. Goverde and Marek Šebesta. Their work appears in journals such as Nature, Nucleic Acids Research, Molecular Cell, Nature Biotechnology and Science.
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.