David Salgado
Impact in
- Genetics top 10%
- Genomics and Rare Diseases
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- Congenital heart defects research
- Muscle Physiology and Disorders
- Developmental Biology and Gene Regulation
- Ion channel regulation and function
Papers in
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- Genomics and Phylogenetic Studies 5
- RNA and protein synthesis mechanisms 4
- Biomedical Text Mining and Ontologies 4
- RNA modifications and cancer 4
- Congenital heart defects research 3
- Bioinformatics and Genomic Networks 3
- Genetics 11
- Genomics and Rare Diseases 7
- Co-authors
- Jean‐Pierre Desvignes (13 shared papers)Christophe Béroud (15 shared papers)Christophe Marcelle (7 shared papers)Olivier Serralbo (2 shared papers)Anne C. Rios (1 shared paper)Marc Bartoli (4 shared papers)Martin Krahn (4 shared papers)Valérie Delague (1 shared paper)
In The Last Decade
David Salgado
31 papers receiving 835 citations
Peers
Comparison fields: 5 of 92
- Genetics 122
- Molecular Biology 539
- Genetics 218
- Physiology 121
- Cancer Research 69
Countries citing papers authored by David Salgado
This map shows the geographic impact of David Salgado'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 Salgado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Salgado more than expected).
Fields of papers citing papers by David Salgado
This network shows the impact of papers produced by David Salgado. 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 Salgado. The network helps show where David Salgado may publish in the future.
Co-authors
The 25 scholars most cited alongside David Salgado, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 138 | |
| 2 | 2011 | 126 | |
| 3 | 2016 | 89 | |
| 4 | 2015 | 82 | |
| 5 | 2020 | 55 | |
| 6 | 2017 | 53 | |
| 7 | 2020 | 38 | |
| 8 | 1982 | 38 | |
| 9 | 2021 | 31 | |
| 10 | 2012 | 30 | |
| 11 | 2020 | 24 | |
| 12 | 2016 | 23 | |
| 13 | 2012 | 22 | |
| 14 | 2014 | 22 | |
| 15 | 2015 | 14 | |
| 16 | 2021 | 10 | |
| 17 | 2012 | 10 | |
| 18 | 2007 | 8 | |
| 19 | 2014 | 4 | |
| 20 | 2016 | 4 |
About David Salgado
David Salgado is a scholar working on Molecular Biology, Genetics, Cancer Research, Pathology and Forensic Medicine and Artificial Intelligence, having authored 31 papers that have together received 840 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (7 papers), Genomics and Phylogenetic Studies (5 papers), Cancer Genomics and Diagnostics (5 papers), RNA and protein synthesis mechanisms (4 papers), Biomedical Text Mining and Ontologies (4 papers), RNA modifications and cancer (4 papers), Congenital heart defects research (3 papers) and Bioinformatics and Genomic Networks (3 papers). The work is most often cited by research in Genetics (122 citations), Molecular Biology (539 citations), Genetics (218 citations), Physiology (121 citations) and Cancer Research (69 citations). David Salgado has collaborated with scholars based in France, Australia and Canada. Frequent co-authors include Jean‐Pierre Desvignes, Christophe Béroud, Christophe Marcelle, Olivier Serralbo, Anne C. Rios, Marc Bartoli, Martin Krahn, Valérie Delague, Nicolas Lévy and Gwenaëlle Collod‐Béroud. Their work appears in journals such as Human Mutation, Bioinformatics, eLife, Nucleic Acids Research and Database.
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.