Gerard Pujadas

5.0k total citations · 1 hit paper
70 papers, 3.9k citations indexed

About

Gerard Pujadas is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Gerard Pujadas has authored 70 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 18 papers in Computational Theory and Mathematics and 13 papers in Oncology. Recurrent topics in Gerard Pujadas's work include Computational Drug Discovery Methods (18 papers), Phytochemicals and Antioxidant Activities (10 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Gerard Pujadas is often cited by papers focused on Computational Drug Discovery Methods (18 papers), Phytochemicals and Antioxidant Activities (10 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). Gerard Pujadas collaborates with scholars based in Spain, United States and Switzerland. Gerard Pujadas's co-authors include Santiago Garcı́a-Vallvé, Miquel Mulero, Lluı́s Arola, Adrià Cereto‐Massagué, Cristina Valls, María José Ojeda, Anna Ardèvol, Mayte Blay, M. Josepa Salvadó and Cinta Bladé and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Gerard Pujadas

67 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Molecular fingerprint similarity search in virtual screening

2014 552 citations Adrià Cereto‐Massagué, María José Ojeda et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gerard Pujadas Spain	34	1.8k	1.1k	705	426	374	70	3.9k
Vanessa Neveu France	15	3.1k 1.7×	1.7k 1.5×	1.4k 2.0×	271 0.6×	344 0.9×	18	6.3k
Miquel Mulero Spain	30	1.2k 0.7×	801 0.7×	293 0.4×	171 0.4×	288 0.8×	79	2.7k
Anas Shamsi India	33	1.7k 0.9×	657 0.6×	244 0.3×	336 0.8×	580 1.6×	189	3.6k
Yiyu Cheng China	42	3.3k 1.8×	464 0.4×	436 0.6×	216 0.5×	167 0.4×	237	6.0k
Judith M. Rollinger Austria	38	2.8k 1.5×	772 0.7×	411 0.6×	428 1.0×	240 0.6×	157	6.5k
Keun Woo Lee South Korea	35	2.4k 1.3×	1.1k 1.0×	149 0.2×	238 0.6×	186 0.5×	200	4.3k
Mithun Rudrapal India	33	917 0.5×	678 0.6×	457 0.6×	273 0.6×	122 0.3×	125	3.2k
Daniela Schuster Austria	44	3.5k 1.9×	1.5k 1.4×	377 0.5×	866 2.0×	308 0.8×	180	7.4k
Woo Song Lee South Korea	40	1.7k 0.9×	523 0.5×	395 0.6×	228 0.5×	100 0.3×	117	4.5k
Marcus J. C. Long United States	46	2.8k 1.5×	271 0.2×	481 0.7×	365 0.9×	141 0.4×	130	5.2k

Countries citing papers authored by Gerard Pujadas

Since Specialization

Citations

This map shows the geographic impact of Gerard Pujadas'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 Gerard Pujadas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerard Pujadas more than expected).

Fields of papers citing papers by Gerard Pujadas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerard Pujadas. 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 Gerard Pujadas. The network helps show where Gerard Pujadas may publish in the future.

Co-authorship network of co-authors of Gerard Pujadas

This figure shows the co-authorship network connecting the top 25 collaborators of Gerard Pujadas. A scholar is included among the top collaborators of Gerard Pujadas 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 Gerard Pujadas. Gerard Pujadas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Pujadas, Gerard, et al.. (2024). Challenges in distinguishing functional proteins from polyproteins in databases: implications for drug discovery. Briefings in Bioinformatics. 25(2).

Bocanegra‐García, Virgilio, et al.. (2024). Ligand- and Structure-Based Virtual Screening Identifies New Inhibitors of the Interaction of the SARS-CoV-2 Spike Protein with the ACE2 Host Receptor. Pharmaceutics. 16(5). 613–613. 1 indexed citations

Martínez, Rubén, et al.. (2023). The Mutational Landscape of SARS-CoV-2. International Journal of Molecular Sciences. 24(10). 9072–9072. 18 indexed citations

Cuffaro, Doretta, Aleix Gimeno, Gerard Pujadas, et al.. (2023). Identification of N-Acyl Hydrazones as New Non-Zinc-Binding MMP-13 Inhibitors by Structure-Based Virtual Screening Studies and Chemical Optimization. International Journal of Molecular Sciences. 24(13). 11098–11098. 3 indexed citations

Julià, Carme, et al.. (2023). Drug Potency Prediction of SARS-CoV-2 Main Protease Inhibitors Based on a Graph Generative Model. International Journal of Molecular Sciences. 24(10). 8779–8779. 1 indexed citations

Puigbò, Pere, et al.. (2022). Prediction of Recurrent Mutations in SARS-CoV-2 Using Artificial Neural Networks. International Journal of Molecular Sciences. 23(23). 14683–14683. 8 indexed citations

Pujadas, Gerard, et al.. (2021). A Review of the Current Landscape of SARS-CoV-2 Main Protease Inhibitors: Have We Hit the Bullseye Yet?. International Journal of Molecular Sciences. 23(1). 259–259. 39 indexed citations

Ojeda, María José, et al.. (2021). Haste makes waste: A critical review of docking‐based virtual screening in drug repurposing for SARS‐CoV‐2 main protease (M‐pro) inhibition. Medicinal Research Reviews. 42(2). 744–769. 59 indexed citations

Gimeno, Aleix, Raúl Beltrán‐Debón, Miquel Mulero, Gerard Pujadas, & Santiago Garcı́a-Vallvé. (2019). Understanding the variability of the S1′ pocket to improve matrix metalloproteinase inhibitor selectivity profiles. Drug Discovery Today. 25(1). 38–57. 43 indexed citations

10.

Guerrero, Ligia, Julián Castillo, Mar Quiñones, et al.. (2012). Inhibition of Angiotensin-Converting Enzyme Activity by Flavonoids: Structure-Activity Relationship Studies. PLoS ONE. 7(11). e49493–e49493. 308 indexed citations

11.

Valls, Cristina, et al.. (2012). Characterization of the activity and stability of amylase from saliva and detergent: Laboratory practicals for studying the activity and stability of amylase from saliva and various commercial detergents. Biochemistry and Molecular Biology Education. 40(4). 254–265. 21 indexed citations

12.

Guasch, Laura, María José Ojeda, Noemi González‐Abuín, et al.. (2012). Identification of Novel Human Dipeptidyl Peptidase-IV Inhibitors of Natural Origin (Part I): Virtual Screening and Activity Assays. PLoS ONE. 7(9). e44971–e44971. 39 indexed citations

13.

Sala, Esther, Laura Guasch, Justyna Iwaszkiewicz, et al.. (2011). Identification of Human IKK-2 Inhibitors of Natural Origin (Part I): Modeling of the IKK-2 Kinase Domain, Virtual Screening and Activity Assays. PLoS ONE. 6(2). e16903–e16903. 23 indexed citations

14.

Terra, Ximena, Víctor Pallarès, Anna Ardèvol, et al.. (2010). Modulatory effect of grape-seed procyanidins on local and systemic inflammation in diet-induced obesity rats. The Journal of Nutritional Biochemistry. 22(4). 380–387. 144 indexed citations

15.

Bas-Prior, Josep M Del, Marie‐Louise Ricketts, Esther Sala, et al.. (2009). Dietary procyanidins enhance transcriptional activity of bile acid‐activated FXR in vitro and reduce triglyceridemia in vivo in a FXR‐dependent manner. Molecular Nutrition & Food Research. 53(7). 805–814. 80 indexed citations

16.

Arola‐Arnal, Anna, Gerard Pujadas, Anna Ardèvol, et al.. (2007). In silico identification of red wine catechin binding sites on human and rat serotransferrins. Genes & Nutrition. 2(1). 99–100. 1 indexed citations

17.

Montagut, Gemma, Juan Fernández-Larrea, Montserrat Esteve, et al.. (2007). Differential effects of grape-seed derived procyanidins on adipocyte differentiation markers in different in vivo situations. Genes & Nutrition. 2(1). 101–103. 10 indexed citations

18.

Pujadas, Gerard & Jaume Palau. (2001). Evolution of α-Amylases: Architectural Features and Key Residues in the Stabilization of the (β/α)8 Scaffold. Molecular Biology and Evolution. 18(1). 38–54. 57 indexed citations

19.

Pujadas, Gerard & Jaume Palau. (2001). Molecular mimicry of substrate oxygen atoms by water molecules in the β‐amylase active site. Protein Science. 10(8). 1645–1657. 15 indexed citations

20.

Pujadas, Gerard & Jaume Palau. (1997). Anatomy of a conformational transition of β‐strand 6 in soybean P‐amylase caused by substrate (or inhibitor) binding to the catalytical site. Protein Science. 6(11). 2409–2417. 4 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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