Luca Parca
Impact in
- Structural Biology top 5%
- Molecular Biology top 10%
- RNA Research and Splicing
- Nuclear Structure and Function
- Bioinformatics and Genomic Networks
- Ubiquitin and proteasome pathways
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in
-
- RNA and protein synthesis mechanisms 8
- Protein Structure and Dynamics 7
- Bioinformatics and Genomic Networks 5
- RNA Research and Splicing 5
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- Cancer-related molecular mechanisms research 4
- Co-authors
- Peer Bork (8 shared papers)Pablo Mínguez (4 shared papers)Manuela Helmer‐Citterich (13 shared papers)Ivica Letunić (2 shared papers)Alessandro Ori (7 shared papers)Martin Beck (6 shared papers)Gabriele Ausiello (9 shared papers)Katarzyna Buczak (3 shared papers)
- Journals
- Nucleic Acids Research (8 papers)Molecular Systems Biology (2 papers)Non-coding RNA Research (2 papers)Nature Communications (2 papers)Molecular & Cellular Proteomics (2 papers)
- Partner nations
- ItalyGermanyUnited States
In The Last Decade
Luca Parca
31 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 116
- Structural Biology 70
- Molecular Biology 1.1k
- Spectroscopy 195
- Biophysics 54
- Aging 15
Countries citing papers authored by Luca Parca
This map shows the geographic impact of Luca Parca'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 Luca Parca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Parca more than expected).
Fields of papers citing papers by Luca Parca
This network shows the impact of papers produced by Luca Parca. 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 Luca Parca. The network helps show where Luca Parca may publish in the future.
Co-authors
The 25 scholars most cited alongside Luca Parca, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 316 | |
| 2 | 2012 | 201 | |
| 3 | 2019 | 122 | |
| 4 | 2012 | 114 | |
| 5 | 2019 | 94 | |
| 6 | 2016 | 84 | |
| 7 | 2014 | 82 | |
| 8 | 2018 | 67 | |
| 9 | 2018 | 41 | |
| 10 | 2017 | 40 | |
| 11 | 2020 | 34 | |
| 12 | 2021 | 33 | |
| 13 | 2015 | 25 | |
| 14 | 2023 | 24 | |
| 15 | 2010 | 18 | |
| 16 | 2019 | 18 | |
| 17 | 2021 | 16 | |
| 18 | 2020 | 13 | |
| 19 | 2018 | 12 | |
| 20 | 2011 | 12 |
About Luca Parca
Luca Parca is a scholar working on Molecular Biology, Cancer Research, Spectroscopy, Computational Theory and Mathematics and Clinical Biochemistry, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Protein Structure and Dynamics (7 papers), Bioinformatics and Genomic Networks (5 papers), RNA Research and Splicing (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Cancer-related molecular mechanisms research (4 papers), Enzyme Structure and Function (4 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Structural Biology (70 citations), Molecular Biology (1.1k citations), Spectroscopy (195 citations), Biophysics (54 citations) and Aging (15 citations). Luca Parca has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Peer Bork, Pablo Mínguez, Manuela Helmer‐Citterich, Ivica Letunić, Alessandro Ori, Martin Beck, Gabriele Ausiello, Katarzyna Buczak, Anne‐Claude Gavin and Panagiotis L. Kastritis. Their work appears in journals such as Nucleic Acids Research, Molecular Systems Biology, Non-coding RNA Research, Nature Communications and Molecular & Cellular Proteomics.
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.