Joan Pous

1.4k citations
33 papers · 1.2k · h-index 19

Impact in

Papers in

    • RNA and protein synthesis mechanisms 12
    • DNA and Nucleic Acid Chemistry 7
    • Protein Structure and Dynamics 5
    • Genomics and Chromatin Dynamics 4
    • Enzyme Structure and Function 11

Joan Pous

33 papers receiving 1.2k citations

Peers

Joan Pous
Comparison fields: 5 of 92
  • Structural Biology 24
  • Ecology 354
  • Epidemiology 310
  • Molecular Biology 626
  • Infectious Diseases 128
Replace Grégory Effantin with:
Grégory Effantin France
J.J.B. Cockburn United Kingdom
Emmanuelle Neumann France
Robyn Malby Australia
Ambroise Desfosses France
Fasséli Coulibaly Australia
Xavier Ambroggio United States
Leandro F. Estrozi France
Xinghong Dai United States
Markus Meissner United Kingdom
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Citations per field
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Grégory Effantin · 1×
Citations per year

Countries citing papers authored by Joan Pous

Since Specialization
Citations

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

Fields of papers citing papers by Joan Pous

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Joan Pous, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joan Pous Line = papers co-authored together Joan Pous links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005270
2 2002195
3 201973
4 200663
5 201359
6 201258
7 200048
8 200142
9 201335
10 200934
11 199833
12 200532
13 200029
14 200525
15 200822
16 200620
17 200119
18 201018
19 200818
20 201316

About Joan Pous

Joan Pous is a scholar working on Molecular Biology, Materials Chemistry, Ecology, Epidemiology and Genetics, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (12 papers), Enzyme Structure and Function (11 papers), DNA and Nucleic Acid Chemistry (7 papers), Bacteriophages and microbial interactions (7 papers), Protein Structure and Dynamics (5 papers), Bacterial Genetics and Biotechnology (5 papers), Genomics and Chromatin Dynamics (4 papers) and Virology and Viral Diseases (3 papers). The work is most often cited by research in Structural Biology (24 citations), Ecology (354 citations), Epidemiology (310 citations), Molecular Biology (626 citations) and Infectious Diseases (128 citations). Joan Pous has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Miquel Coll, Jorge Navaza, Alı́cia Guasch, Christophe Chevalier, José L. Carrascosa, Bernard Delmas, F.A. Rey, Stéphane Bressanelli, Fasséli Coulibaly and Irina Gutsche. Their work appears in journals such as Journal of Molecular Biology, Nature Communications, Journal of Virology, FEBS Letters and Acta Crystallographica Section D Structural Biology.

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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