Marco Pistolozzi
Impact in
- Biotechnology top 5%
- Microbial Metabolism and Applications
- Pharmacology top 5%
- Cholinesterase and Neurodegenerative Diseases
Papers in
-
- Protein Interaction Studies and Fluorescence Analysis 7
- Spectroscopy 13
- Molecular spectroscopy and chirality 7
- Analytical Chemistry and Chromatography 6
- Co-authors
- Carlo Bertucci (18 shared papers)Angela De Simone (5 shared papers)Jinwu Yan (4 shared papers)Kan Shi (2 shared papers)Zhenqiang Wu (2 shared papers)Da Song (1 shared paper)Lei Quan (1 shared paper)Gong Chen (1 shared paper)
In The Last Decade
Marco Pistolozzi
40 papers receiving 882 citations
Peers
Comparison fields: 5 of 100
- Biotechnology 132
- Pharmacology 237
- Spectroscopy 174
- Pharmacology 81
- Computational Theory and Mathematics 118
Countries citing papers authored by Marco Pistolozzi
This map shows the geographic impact of Marco Pistolozzi'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 Pistolozzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Pistolozzi more than expected).
Fields of papers citing papers by Marco Pistolozzi
This network shows the impact of papers produced by Marco Pistolozzi. 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 Pistolozzi. The network helps show where Marco Pistolozzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Pistolozzi, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 98 | |
| 2 | 2012 | 90 | |
| 3 | 2010 | 57 | |
| 4 | 2021 | 56 | |
| 5 | 2008 | 55 | |
| 6 | 2019 | 40 | |
| 7 | 2010 | 38 | |
| 8 | 2020 | 33 | |
| 9 | 2013 | 29 | |
| 10 | 2012 | 28 | |
| 11 | 2017 | 28 | |
| 12 | 2010 | 26 | |
| 13 | 2020 | 25 | |
| 14 | 2016 | 25 | |
| 15 | 2022 | 24 | |
| 16 | 2011 | 24 | |
| 17 | 2016 | 19 | |
| 18 | 2014 | 18 | |
| 19 | 2018 | 17 | |
| 20 | 2011 | 16 |
About Marco Pistolozzi
Marco Pistolozzi is a scholar working on Molecular Biology, Spectroscopy, Pharmacology, Oncology and Computational Theory and Mathematics, having authored 40 papers that have together received 896 indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (9 papers), Protein Interaction Studies and Fluorescence Analysis (7 papers), Molecular spectroscopy and chirality (7 papers), Analytical Chemistry and Chromatography (6 papers), Computational Drug Discovery Methods (6 papers), Drug Transport and Resistance Mechanisms (5 papers), Alzheimer's disease research and treatments (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Biotechnology (132 citations), Pharmacology (237 citations), Spectroscopy (174 citations), Pharmacology (81 citations) and Computational Theory and Mathematics (118 citations). Marco Pistolozzi has collaborated with scholars based in China, Italy and France. Frequent co-authors include Carlo Bertucci, Angela De Simone, Jinwu Yan, Kan Shi, Zhenqiang Wu, Da Song, Lei Quan, Gong Chen, Jinrong Yang and Zhanglin Lin. Their work appears in journals such as Journal of Pharmaceutical and Biomedical Analysis, Chirality, ChemMedChem, Journal of Medicinal Chemistry and Dyes and Pigments.
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.