David Torrents

58.6k citations
51 papers · 5.9k indexed · 2 hit papers · h-index 24
Topics
Genomics and Phylogenetic Studies (11 papers)Amino Acid Enzymes and Metabolism (10 papers)RNA and protein synthesis mechanisms (8 papers)

In The Last Decade

David Torrents

49 papers receiving 5.8k citations

Hit Papers

PAL2NAL: robust conversion of protein sequence alignments...20062026201220192006201750010001.5k2.0k

Peers

David Torrents
Comparison fields: 5 of 144
  • Molecular Biology 3.8k
  • Plant Science 1.1k
  • Genetics 899
  • Biochemistry 859
  • Physiology 682
Replace Edmund R.S. Kunji with:
Edmund R.S. Kunji United Kingdom
José‐Enrique O’Connor Spain
M J Runswick United Kingdom
Karsten Hiller Germany
Ida J. van der Klei Netherlands
Paul Desjardins Canada
Roberto Di Marco Italy
Janet A. Warrington United States
Antonius Koller United States
Alexandre Zougman United Kingdom
David Torrents relative to Edmund R.S. Kunji United Kingdom Edmund R.S. Kunji's profile →
Citations per field
00.5×2.8×
Edmund R.S. Kunji · 1×
Citations per year

Countries citing papers authored by David Torrents

Since Specialization
Citations

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

Fields of papers citing papers by David Torrents

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Torrents

This figure shows the co-authorship network connecting the top 25 collaborators of David Torrents. A scholar is included among the top collaborators of David Torrents 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 David Torrents. David Torrents 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 2
2 8
3 2
4 17
5 11
6 12
7 51
8 86
9 6
10 57
11 37
12 152
13 31
14 48
15 10
16 9
17 119
18
PAL2NAL: robust conversion of protein sequence alignments into the corresponding codon alignmentsbreakdown →
2298
19 41
20 338

About David Torrents

David Torrents is a scholar working on Biochemistry, Clinical Biochemistry and Molecular Biology, having authored 51 papers that have together received 5.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (11 papers), Amino Acid Enzymes and Metabolism (10 papers) and RNA and protein synthesis mechanisms (8 papers). The work is most often cited by research in Biochemistry (859 citations), Clinical Biochemistry (469 citations) and Molecular Biology (3.8k citations). David Torrents has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include Mikita Suyama, Peer Bork, Manuel Palacı́n, António Zorzano, Raúl Estévez, Josep M. Mercader, Marta Pineda, Esperanza Fernández, José Manuel Fernández‐Real and Jorge Lloberas. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological 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.

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