Simon Cross
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
-
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 3
- Chemical Synthesis and Analysis 3
- Protein Degradation and Inhibitors 2
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- Computational Drug Discovery Methods 14
- Co-authors
- Gabriele Cruciani (17 shared papers)Massimo Baroni (6 shared papers)Laura Goracci (4 shared papers)Loriano Storchi (4 shared papers)Francesca Milletti (2 shared papers)Gianluca Sforna (2 shared papers)Lydia Siragusa (5 shared papers)Francesca Spyrakis (6 shared papers)
- Journals
- Journal of Chemical Information and Modeling (8 papers)Scientific Reports (2 papers)Current Medicinal Chemistry (2 papers)European Journal of Medicinal Chemistry (1 paper)ACS Medicinal Chemistry Letters (1 paper)
- Partner nations
- ItalyUnited KingdomSpain
In The Last Decade
Simon Cross
27 papers receiving 720 citations
Peers
Comparison fields: 5 of 88
- Molecular Medicine 120
- Computational Theory and Mathematics 332
- Pharmacology 127
- Applied Microbiology and Biotechnology 14
- Molecular Biology 433
Countries citing papers authored by Simon Cross
This map shows the geographic impact of Simon Cross'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 Simon Cross with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Cross more than expected).
Fields of papers citing papers by Simon Cross
This network shows the impact of papers produced by Simon Cross. 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 Simon Cross. The network helps show where Simon Cross may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Cross, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 107 | |
| 2 | 2010 | 75 | |
| 3 | 2012 | 70 | |
| 4 | 2015 | 65 | |
| 5 | 2009 | 58 | |
| 6 | 2017 | 36 | |
| 7 | 2013 | 34 | |
| 8 | 2017 | 32 | |
| 9 | 2014 | 28 | |
| 10 | 2012 | 28 | |
| 11 | 2020 | 27 | |
| 12 | 2015 | 27 | |
| 13 | 2014 | 23 | |
| 14 | 2005 | 22 | |
| 15 | 2009 | 14 | |
| 16 | 2021 | 14 | |
| 17 | 2022 | 13 | |
| 18 | 2010 | 12 | |
| 19 | 2018 | 10 | |
| 20 | 2024 | 8 |
About Simon Cross
Simon Cross is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Molecular Medicine and Organic Chemistry, having authored 27 papers that have together received 738 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Antibiotic Resistance in Bacteria (5 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Microbial Natural Products and Biosynthesis (3 papers), Protein Structure and Dynamics (3 papers), Chemical Synthesis and Analysis (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Molecular Medicine (120 citations), Computational Theory and Mathematics (332 citations), Pharmacology (127 citations), Applied Microbiology and Biotechnology (14 citations) and Molecular Biology (433 citations). Simon Cross has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Gabriele Cruciani, Massimo Baroni, Laura Goracci, Loriano Storchi, Francesca Milletti, Gianluca Sforna, Lydia Siragusa, Francesca Spyrakis, Donatella Tondi and Emanuele Carosati. Their work appears in journals such as Journal of Chemical Information and Modeling, Scientific Reports, Current Medicinal Chemistry, European Journal of Medicinal Chemistry and ACS Medicinal Chemistry Letters.
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.