Marco Nardini
Impact in
- Cell Biology top 0.5%
- Hemoglobin structure and function
- Biotechnology top 0.5%
- Enzyme Production and Characterization
Papers in
- Cell Biology 52
- Hemoglobin structure and function 51
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- Protein Structure and Dynamics 16
- Genomics and Chromatin Dynamics 11
- Ion channel regulation and function 5
- Enzyme Catalysis and Immobilization 4
- Co-authors
- Bauke W. Dijkstra (8 shared papers)Martino Bolognesi (69 shared papers)Alessandra Pesce (48 shared papers)Paolo Ascenzi (31 shared papers)Luc J. Moens (28 shared papers)Sylvia Dewilde (28 shared papers)Karl‐Erich Jaeger (2 shared papers)Dietmar Lang (2 shared papers)
In The Last Decade
Marco Nardini
112 papers receiving 5k citations
Marco Nardini's Hit Papers
Peers
Comparison fields: 5 of 118
- Cell Biology 1.3k
- Biotechnology 422
- Molecular Biology 2.1k
- Biochemistry 174
- Genetics 179
Countries citing papers authored by Marco Nardini
This map shows the geographic impact of Marco Nardini'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 Nardini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Nardini more than expected).
Fields of papers citing papers by Marco Nardini
This network shows the impact of papers produced by Marco Nardini. 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 Nardini. The network helps show where Marco Nardini may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Nardini, 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | α/β Hydrolase fold enzymes: the family keeps growing Hit paper breakdown → | 1999 | 729 |
| 2 | 2003 | 290 | |
| 3 | 2013 | 266 | |
| 4 | 2000 | 256 | |
| 5 | 2000 | 210 | |
| 6 | 2004 | 191 | |
| 7 | 1999 | 157 | |
| 8 | 2003 | 142 | |
| 9 | 2004 | 109 | |
| 10 | 2011 | 107 | |
| 11 | 2013 | 103 | |
| 12 | 2019 | 79 | |
| 13 | 2006 | 72 | |
| 14 | 2016 | 67 | |
| 15 | 2020 | 63 | |
| 16 | 2007 | 61 | |
| 17 | 2013 | 60 | |
| 18 | 2007 | 59 | |
| 19 | 2006 | 55 | |
| 20 | 1999 | 54 |
About Marco Nardini
Marco Nardini is a scholar working on Cell Biology, Molecular Biology, Materials Chemistry, Biochemistry and Biotechnology, having authored 114 papers that have together received 5.1k indexed citations. Recurring topics across this work include Hemoglobin structure and function (51 papers), Enzyme Structure and Function (20 papers), Protein Structure and Dynamics (16 papers), Genomics and Chromatin Dynamics (11 papers), Ion channel regulation and function (5 papers), Enzyme Catalysis and Immobilization (4 papers), Bacterial Genetics and Biotechnology (4 papers) and Amino Acid Enzymes and Metabolism (3 papers). The work is most often cited by research in Cell Biology (1.3k citations), Biotechnology (422 citations), Molecular Biology (2.1k citations), Biochemistry (174 citations) and Genetics (179 citations). Marco Nardini has collaborated with scholars based in Italy, Belgium and Germany. Frequent co-authors include Bauke W. Dijkstra, Martino Bolognesi, Alessandra Pesce, Paolo Ascenzi, Luc J. Moens, Sylvia Dewilde, Karl‐Erich Jaeger, Dietmar Lang, Klaus Liebeton and Antonio Chaves-Sanjuán. Their work appears in journals such as Journal of Biological Chemistry, FEBS Journal, PLoS ONE, Journal of Molecular Biology and IUBMB Life.
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.