Javier Valle
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
- Microbiology 22
- Antimicrobial Peptides and Activities 17
- Microbial infections and disease research 5
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- Biochemical and Structural Characterization 8
- RNA Interference and Gene Delivery 7
- Chemical Synthesis and Analysis 5
- Lipid Membrane Structure and Behavior 3
- Co-authors
- David Andreu (32 shared papers)Segundo Píriz (15 shared papers)Santiago Vadillo (16 shared papers)Miguel A. R. B. Castanho (14 shared papers)Marc Torrent (8 shared papers)Esperanza Gómez‐Lucía (4 shared papers)Marco Calvinho Cavaco (10 shared papers)Ester Boix (4 shared papers)
In The Last Decade
Javier Valle
50 papers receiving 794 citations
Peers
Comparison fields: 5 of 85
- Microbiology 261
- Molecular Medicine 53
- Infectious Diseases 183
- Biotechnology 67
- Clinical Biochemistry 42
Countries citing papers authored by Javier Valle
This map shows the geographic impact of Javier Valle'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 Javier Valle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier Valle more than expected).
Fields of papers citing papers by Javier Valle
This network shows the impact of papers produced by Javier Valle. 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 Javier Valle. The network helps show where Javier Valle may publish in the future.
Co-authors
The 25 scholars most cited alongside Javier Valle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1990 | 116 | |
| 2 | 2011 | 65 | |
| 3 | 2013 | 40 | |
| 4 | 2021 | 34 | |
| 5 | 2019 | 32 | |
| 6 | 2020 | 31 | |
| 7 | 1997 | 31 | |
| 8 | 2019 | 30 | |
| 9 | 1991 | 29 | |
| 10 | 1996 | 27 | |
| 11 | 2016 | 27 | |
| 12 | 2021 | 27 | |
| 13 | 1991 | 25 | |
| 14 | 2020 | 23 | |
| 15 | 2021 | 22 | |
| 16 | 2021 | 22 | |
| 17 | 2020 | 19 | |
| 18 | 2024 | 16 | |
| 19 | 1998 | 15 | |
| 20 | 2020 | 14 |
About Javier Valle
Javier Valle is a scholar working on Microbiology, Molecular Biology, Infectious Diseases, Virology and Agronomy and Crop Science, having authored 50 papers that have together received 833 indexed citations. Recurring topics across this work include Antimicrobial Peptides and Activities (17 papers), Biochemical and Structural Characterization (8 papers), RNA Interference and Gene Delivery (7 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Microbial infections and disease research (5 papers), Chemical Synthesis and Analysis (5 papers), Lipid Membrane Structure and Behavior (3 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Microbiology (261 citations), Molecular Medicine (53 citations), Infectious Diseases (183 citations), Biotechnology (67 citations) and Clinical Biochemistry (42 citations). Javier Valle has collaborated with scholars based in Spain, Portugal and Australia. Frequent co-authors include David Andreu, Segundo Píriz, Santiago Vadillo, Miguel A. R. B. Castanho, Marc Torrent, Esperanza Gómez‐Lucía, Marco Calvinho Cavaco, Ester Boix, Maria Victòria Nogués and J. Goyache. Their work appears in journals such as Pharmaceutics, Journal of Veterinary Pharmacology and Therapeutics, Applied and Environmental Microbiology, Letters in Applied Microbiology and Antimicrobial Agents and Chemotherapy.
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.