Simon Cross
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
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- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 4
- Chemical Synthesis and Analysis 3
- Ubiquitin and proteasome pathways 2
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- Computational Drug Discovery Methods 15
- Co-authors
- Gabriele Cruciani (18 shared papers)Massimo Baroni (7 shared papers)Laura Goracci (4 shared papers)Loriano Storchi (4 shared papers)Gianluca Sforna (2 shared papers)Francesca Milletti (2 shared papers)Lydia Siragusa (5 shared papers)Emanuele Carosati (3 shared papers)
- Journals
- Journal of Chemical Information and Modeling (8 papers)Current Medicinal Chemistry (2 papers)Scientific Reports (2 papers)Journal of Computational Chemistry (1 paper)European Journal of Medicinal Chemistry (1 paper)
- Partner nations
- ItalyUnited KingdomSpain
In The Last Decade
Simon Cross
28 papers receiving 785 citations
Peers
Comparison fields: 5 of 87
- Molecular Medicine 121
- Computational Theory and Mathematics 379
- Pharmacology 140
- Applied Microbiology and Biotechnology 14
- Molecular Biology 472
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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 116 | |
| 2 | 2010 | 87 | |
| 3 | 2012 | 76 | |
| 4 | 2015 | 76 | |
| 5 | 2009 | 63 | |
| 6 | 2013 | 39 | |
| 7 | 2017 | 38 | |
| 8 | 2017 | 33 | |
| 9 | 2012 | 32 | |
| 10 | 2020 | 30 | |
| 11 | 2014 | 29 | |
| 12 | 2015 | 27 | |
| 13 | 2005 | 25 | |
| 14 | 2014 | 23 | |
| 15 | 2022 | 17 | |
| 16 | 2009 | 16 | |
| 17 | 2021 | 16 | |
| 18 | 2010 | 12 | |
| 19 | 2018 | 10 | |
| 20 | 2014 | 10 |
About Simon Cross
Simon Cross is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Molecular Medicine and Organic Chemistry, having authored 28 papers that have together received 813 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (15 papers), Antibiotic Resistance in Bacteria (5 papers), Protein Structure and Dynamics (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Chemical Synthesis and Analysis (3 papers), Microbial Natural Products and Biosynthesis (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Molecular Medicine (121 citations), Computational Theory and Mathematics (379 citations), Pharmacology (140 citations), Applied Microbiology and Biotechnology (14 citations) and Molecular Biology (472 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, Gianluca Sforna, Francesca Milletti, Lydia Siragusa, Emanuele Carosati, Francesca Spyrakis and Sérgio Clementi. Their work appears in journals such as Journal of Chemical Information and Modeling, Current Medicinal Chemistry, Scientific Reports, Journal of Computational Chemistry and European Journal of Medicinal 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.