George Nicola
- Molecular Biology top 10%
- Computational Theory and Mathematics top 0.5%
- Materials Chemistry
- Pharmacology top 5%
- Organic Chemistry top 10%
- Co-authors
- Michael K. GilsonTiqing LiuMichael BaitalukJenny ChongChristopher DaviesRobert A. NicholasIlya A. VakserJoshua Tomberg
- Topics
- Computational Drug Discovery Methods (7 papers)Microbial Natural Products and Biosynthesis (5 papers)Enzyme Structure and Function (5 papers)
- Journals
- Nucleic Acids ResearchJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
George Nicola
19 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.1k
- Computational Theory and Mathematics 868
- Materials Chemistry 255
- Pharmacology 217
- Organic Chemistry 163
Countries citing papers authored by George Nicola
This map shows the geographic impact of George Nicola'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 George Nicola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George Nicola more than expected).
Fields of papers citing papers by George Nicola
This network shows the impact of papers produced by George Nicola. 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 George Nicola. The network helps show where George Nicola may publish in the future.
Co-authorship network of co-authors of George Nicola
This figure shows the co-authorship network connecting the top 25 collaborators of George Nicola. A scholar is included among the top collaborators of George Nicola based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with George Nicola. George Nicola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 19 | |
| 5 | BindingDB in 2015: A public database for medicinal chemistry, computational chemistry and systems pharmacologybreakdown → | 1076 |
| 6 | A dicarboxylic acids from Caper leaves enhance antibiotic susceptibility of Pseudomonas aeruginosa to vancomycin | 3 |
| 7 | 14 | |
| 8 | 56 | |
| 9 | 8 | |
| 10 | 12 | |
| 11 | 44 | |
| 12 | 6 | |
| 13 | 17 | |
| 14 | 29 | |
| 15 | 49 | |
| 16 | 29 | |
| 17 | 29 | |
| 18 | 14 | |
| 19 | 71 | |
| 20 | 81 |
About George Nicola
George Nicola is a scholar working on General Dentistry, Complementary and Manual Therapy and Computational Theory and Mathematics, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Microbial Natural Products and Biosynthesis (5 papers) and Enzyme Structure and Function (5 papers). The work is most often cited by research in Computational Theory and Mathematics (868 citations), Molecular Medicine (107 citations) and Molecular Biology (1.1k citations). George Nicola has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Michael K. Gilson, Tiqing Liu, Michael Baitaluk, Jenny Chong, Christopher Davies, Robert A. Nicholas, Ilya A. Vakser, Joshua Tomberg, Ruben Abagyan and William G. Gutheil. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.