Marco Punta
- Molecular Biology top 0.2%
- Protein Structure and Dynamics 25
- Machine Learning in Bioinformatics 23
- RNA and protein synthesis mechanisms 16
- Genomics and Phylogenetic Studies 13
- Bioinformatics and Genomic Networks 6
- Plant Science top 0.2%
- Endocrinology top 0.5%
- Ecology top 0.5%
- Biotechnology top 0.5%
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- Enzyme Structure and Function 12
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- Advanced Proteomics Techniques and Applications 8
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- Bacterial Genetics and Biotechnology 6
- Co-authors
- Alex BatemanJaina MistryROBERT FINNSean R. EddyRuth Y. EberhardtJohn TatePenelope CoggillLiisa Holm
- Journals
- Proteins Structure Function and Bioinformatics (5 papers)Nucleic Acids Research (5 papers)BMC Bioinformatics (4 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Marco Punta
57 papers receiving 15.1k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Molecular Biology 10.5k
- Plant Science 4.0k
- Endocrinology 533
- Ecology 2.1k
- Biotechnology 611
Countries citing papers authored by Marco Punta
This map shows the geographic impact of Marco Punta'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 Marco Punta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Punta more than expected).
Fields of papers citing papers by Marco Punta
This network shows the impact of papers produced by Marco Punta. 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 Marco Punta. The network helps show where Marco Punta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marco Punta, 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 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 10 | |
| 5 | 2022 | 7 | |
| 6 | 2020 | 114 | |
| 7 | 2020 | 43 | |
| 8 | 2018 | 27 | |
| 9 | 2016 | 0 | |
| 10 | 2013 | 23 | |
| 11 | Pfam: the protein families databasebreakdown → | 2013 | 4740 |
| 12 | 2013 | 11 | |
| 13 | 2012 | 6 | |
| 14 | 2011 | 115 | |
| 15 | 2011 | 36 | |
| 16 | 2009 | 35 | |
| 17 | 2008 | 32 | |
| 18 | 2007 | 88 | |
| 19 | 2005 | 110 | |
| 20 | 2005 | 67 |
About Marco Punta
Marco Punta is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry, having authored 59 papers that have together received 15.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (25 papers), Machine Learning in Bioinformatics (23 papers), RNA and protein synthesis mechanisms (16 papers), Genomics and Phylogenetic Studies (13 papers), Enzyme Structure and Function (12 papers), Advanced Proteomics Techniques and Applications (8 papers), Bioinformatics and Genomic Networks (6 papers) and Bacterial Genetics and Biotechnology (6 papers). The work is most often cited by research in Molecular Biology (10.5k citations), Plant Science (4.0k citations) and Endocrinology (533 citations). Marco Punta has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Alex Bateman, Jaina Mistry, ROBERT FINN, Sean R. Eddy, Ruth Y. Eberhardt, John Tate, Penelope Coggill, Liisa Holm, Jody Clements and Andreas Heger. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Nucleic Acids Research, BMC Bioinformatics, Database and PLoS ONE.
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.