Gerard Pujadas

5.0k citations
70 papers · 3.9k indexed · 1 hit paper · h-index 34
Topics
Computational Drug Discovery Methods (18 papers)Phytochemicals and Antioxidant Activities (10 papers)SARS-CoV-2 and COVID-19 Research (8 papers)

In The Last Decade

Gerard Pujadas

67 papers receiving 3.8k citations

Hit Papers

Molecular fingerprint similarity search in virtual screening20142026201820222014100200300400500

Peers

Gerard Pujadas
Comparison fields: 5 of 140
  • Molecular Biology 1.8k
  • Computational Theory and Mathematics 1.1k
  • Biochemistry 705
  • Endocrinology, Diabetes and Metabolism 426
  • Physiology 374
Replace Mithun Rudrapal with:
Mithun Rudrapal India
Vanessa Neveu France
Anas Shamsi India
Marcus J. C. Long United States
Miquel Mulero Spain
Mahmud Tareq Hassan Khan Bangladesh
Keun Woo Lee South Korea
Ramin Miri Iran
Woo Song Lee South Korea
Hyung Won Ryu South Korea
Gerard Pujadas relative to Mithun Rudrapal India Mithun Rudrapal's profile →
Citations per field
00.5×10.8×
Mithun Rudrapal · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 18
4 3
5 1
6 8
7 39
8 59
9 43
10 308
11 21
12 39
13 23
14 144
15 80
16 1
17 10
18 57
19 15
20 4

About Gerard Pujadas

Gerard Pujadas is a scholar working on Biochemistry, Computational Theory and Mathematics and Biotechnology, having authored 70 papers that have together received 3.9k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Phytochemicals and Antioxidant Activities (10 papers) and SARS-CoV-2 and COVID-19 Research (8 papers). The work is most often cited by research in Biochemistry (705 citations), Computational Theory and Mathematics (1.1k citations) and Molecular Biology (1.8k citations). Gerard Pujadas has collaborated with scholars based in Spain, United States and Switzerland. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

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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