Luca Mollica
- Molecular Biology top 10%
- Immunology top 10%
- Materials Chemistry
- Clinical Biochemistry top 1%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Giovanna MuscoMartin BlackledgeAndrea CavalliAndrea SpitaleriMalene Ringkjøbing JensenMarco E. BianchiA AgrestiFrancesco De Marchis
- Topics
- Protein Structure and Dynamics (18 papers)Enzyme Structure and Function (8 papers)T-cell and B-cell Immunology (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Luca Mollica
57 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Molecular Biology 1.3k
- Immunology 395
- Materials Chemistry 281
- Clinical Biochemistry 264
- Endocrinology, Diabetes and Metabolism 206
Countries citing papers authored by Luca Mollica
This map shows the geographic impact of Luca Mollica'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 Mollica with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Mollica more than expected).
Fields of papers citing papers by Luca Mollica
This network shows the impact of papers produced by Luca Mollica. 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 Mollica. The network helps show where Luca Mollica may publish in the future.
Co-authorship network of co-authors of Luca Mollica
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Mollica. A scholar is included among the top collaborators of Luca Mollica 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 Luca Mollica. Luca Mollica is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 23 | |
| 5 | 23 | |
| 6 | 113 | |
| 7 | 41 | |
| 8 | 14 | |
| 9 | 29 | |
| 10 | 30 | |
| 11 | 88 | |
| 12 | 35 | |
| 13 | 11 | |
| 14 | 5 | |
| 15 | 73 | |
| 16 | 89 | |
| 17 | Glycyrrhizin Binds to High-Mobility Group Box 1 Protein and Inhibits Its Cytokine Activitiesbreakdown → | 490 |
| 18 | 82 | |
| 19 | 13 | |
| 20 | 66 |
About Luca Mollica
Luca Mollica is a scholar working on Biophysics, Molecular Biology and Surfaces, Coatings and Films, having authored 59 papers that have together received 2.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (18 papers), Enzyme Structure and Function (8 papers) and T-cell and B-cell Immunology (5 papers). The work is most often cited by research in Clinical Biochemistry (264 citations), Immunology (395 citations) and Molecular Biology (1.3k citations). Luca Mollica has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Giovanna Musco, Martin Blackledge, Andrea Cavalli, Andrea Spitaleri, Malene Ringkjøbing Jensen, Marco E. Bianchi, A Agresti, Francesco De Marchis, Moreno Zamai and Massimiliano Gaetani. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.