George Nicola

2.3k total citations · 1 hit paper
22 papers, 1.6k citations indexed

About

George Nicola is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, George Nicola has authored 22 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 6 papers in Pharmacology. Recurrent topics in George Nicola's work include Computational Drug Discovery Methods (7 papers), Microbial Natural Products and Biosynthesis (5 papers) and Enzyme Structure and Function (5 papers). George Nicola is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Microbial Natural Products and Biosynthesis (5 papers) and Enzyme Structure and Function (5 papers). George Nicola collaborates with scholars based in United States, Switzerland and Germany. George Nicola's 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 and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

George Nicola

19 papers receiving 1.5k citations

Hit Papers

BindingDB in 2015: A public database for medicinal chemis... 2015 2026 2018 2022 2015 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
George Nicola United States 13 1.1k 868 255 217 163 22 1.6k
Brian Y. Feng United States 11 1.2k 1.1× 599 0.7× 157 0.6× 212 1.0× 322 2.0× 18 1.9k
Andrea Volkamer Germany 20 1.4k 1.3× 936 1.1× 293 1.1× 203 0.9× 221 1.4× 55 2.1k
Erin S. D. Bolstad United States 11 1.3k 1.3× 942 1.1× 303 1.2× 309 1.4× 329 2.0× 15 2.3k
Allison K. Doak United States 14 1.1k 1.0× 813 0.9× 177 0.7× 208 1.0× 251 1.5× 14 1.8k
Massimo Baroni Italy 25 1.1k 1.0× 869 1.0× 146 0.6× 182 0.8× 374 2.3× 63 2.1k
Veerabahu Shanmugasundaram United States 19 766 0.7× 408 0.5× 142 0.6× 166 0.8× 137 0.8× 39 1.2k
Daniel Kühn Germany 13 1.3k 1.3× 763 0.9× 280 1.1× 250 1.2× 319 2.0× 28 1.9k
Kai Zhu United States 18 1.5k 1.4× 622 0.7× 260 1.0× 182 0.8× 454 2.8× 29 2.2k
Samo Turk Slovenia 24 1.2k 1.1× 865 1.0× 421 1.7× 409 1.9× 547 3.4× 47 2.3k
Ruth Brenk United Kingdom 27 1.5k 1.4× 659 0.8× 262 1.0× 195 0.9× 754 4.6× 61 2.3k

Countries citing papers authored by George Nicola

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Nicola, George, et al.. (2021). FREQUENT PROCEDURAL ERRORS AND STRUCTURAL COMPLICATIONS ON ENDODONTICAL TREATED TEETH. SHILAP Revista de lepidopterología. 67(2). 101–106. 1 indexed citations
2.
Nicola, George, et al.. (2021). Current Trends and Ethical Challenges in Cosmetic Dentistry. Romanian Journal of Legal Medicine. 29(4). 413–417. 2 indexed citations
3.
Nicola, George, Irina Kufareva, Andrey V. Ilatovskiy, & Ruben Abagyan. (2020). Druggable exosites of the human kino-pocketome. Journal of Computer-Aided Molecular Design. 34(3). 219–230. 3 indexed citations
4.
Nicola, George, Michael R. Berthold, Michael P. Hedrick, & Michael K. Gilson. (2015). Connecting proteins with drug-like compounds: Open source drug discovery workflows with BindingDB and KNIME. Database. 2015. bav087–bav087. 19 indexed citations
5.
Gilson, Michael K., et al.. (2015). BindingDB in 2015: A public database for medicinal chemistry, computational chemistry and systems pharmacology. Nucleic Acids Research. 44(D1). D1045–D1053. 1076 indexed citations breakdown →
6.
Aissani, Nadhem, et al.. (2014). A dicarboxylic acids from Caper leaves enhance antibiotic susceptibility of Pseudomonas aeruginosa to vancomycin. 3. 54–64. 3 indexed citations
7.
Cooper, Raymond & George Nicola. (2014). Natural Products Chemistry. 14 indexed citations
8.
Nicola, George, et al.. (2012). BindingDB: A Protein-Ligand Database for Drug Discovery. Biophysical Journal. 102(3). 61a–61a. 8 indexed citations
9.
Nicola, George, Tiqing Liu, & Michael K. Gilson. (2012). Public Domain Databases for Medicinal Chemistry. Journal of Medicinal Chemistry. 55(16). 6987–7002. 56 indexed citations
10.
Orchard, Sandra, Pierre‐Alain Binz, Christoph H. Borchers, et al.. (2012). Ten Years of Standardizing Proteomic Data: A Report on the HUPO‐PSI Spring Workshop. PROTEOMICS. 12(18). 2767–2772. 12 indexed citations
11.
Nicola, George, Joshua Tomberg, R. F. Pratt, Robert A. Nicholas, & Christopher Davies. (2010). Crystal Structures of Covalent Complexes of β-Lactam Antibiotics with Escherichia coli Penicillin-Binding Protein 5: Toward an Understanding of Antibiotic Specificity. Biochemistry. 49(37). 8094–8104. 44 indexed citations
12.
Nicola, George & Ruben Abagyan. (2009). Structure‐Based Approaches to Antibiotic Drug Discovery. Current Protocols in Microbiology. 12(1). Unit17.2–Unit17.2. 6 indexed citations
13.
Nicola, George, Colin A. Smith, & Ruben Abagyan. (2008). New Method for the Assessment of All Drug-Like Pockets Across a Structural Genome. Journal of Computational Biology. 15(3). 231–240. 17 indexed citations
14.
Nicola, George, Colin A. Smith, Edinson Lucumi, et al.. (2007). Discovery of novel inhibitors targeting enoyl–acyl carrier protein reductase in Plasmodium falciparum by structure-based virtual screening. Biochemical and Biophysical Research Communications. 358(3). 686–691. 29 indexed citations
15.
Chrencik, Jill, Alexei Brooun, Michael I. Recht, et al.. (2007). Three-dimensional Structure of the EphB2 Receptor in Complex with an Antagonistic Peptide Reveals a Novel Mode of Inhibition. Journal of Biological Chemistry. 282(50). 36505–36513. 49 indexed citations
16.
Nicola, George & Ilya A. Vakser. (2007). A simple shape characteristic of protein–protein recognition. Bioinformatics. 23(7). 789–792. 29 indexed citations
17.
Nicola, George & Ilya A. Vakser. (2007). A simple shape characteristic of protein–protein recognition. Bioinformatics. 23(16). 2201–2201. 29 indexed citations
18.
Nicola, George, et al.. (2005). A large displacement of the SXN motif of Cys115-modified penicillin-binding protein 5 from Escherichia coli. Biochemical Journal. 392(1). 55–63. 14 indexed citations
20.
Nicholas, Robert A., et al.. (2003). Crystal Structure of Wild-type Penicillin-binding Protein 5 from Escherichia coli. Journal of Biological Chemistry. 278(52). 52826–52833. 81 indexed citations

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.

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