Francisco J. Salgado
- Oncology top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Immunology
- Physiology top 10%
- Co-authors
- Oscar J. CorderoMontserrat NogueiraFrancisco Javier González‐BarcalaJuan E. ViñuelaPilar AriasJuan José Nieto‐FontarigoRafael FrancoAntonio Mera
- Topics
- Peptidase Inhibition and Analysis (12 papers)Asthma and respiratory diseases (11 papers)Glycosylation and Glycoproteins Research (5 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaThe Journal of Physical Chemistry B
- Partner nations
- SpainSwedenUnited States
In The Last Decade
Francisco J. Salgado
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Oncology 377
- Molecular Biology 257
- Endocrinology, Diabetes and Metabolism 216
- Immunology 195
- Physiology 194
Countries citing papers authored by Francisco J. Salgado
This map shows the geographic impact of Francisco J. 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 Francisco J. Salgado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco J. Salgado more than expected).
Fields of papers citing papers by Francisco J. Salgado
This network shows the impact of papers produced by Francisco J. 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 Francisco J. Salgado. The network helps show where Francisco J. Salgado may publish in the future.
Co-authorship network of co-authors of Francisco J. Salgado
This figure shows the co-authorship network connecting the top 25 collaborators of Francisco J. Salgado. A scholar is included among the top collaborators of Francisco J. Salgado 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 Francisco J. Salgado. Francisco J. Salgado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 2 | |
| 3 | 42 | |
| 4 | 50 | |
| 5 | 7 | |
| 6 | 10 | |
| 7 | 12 | |
| 8 | 9 | |
| 9 | 35 | |
| 10 | 4 | |
| 11 | 71 | |
| 12 | 72 | |
| 13 | 173 | |
| 14 | 7 | |
| 15 | 10 | |
| 16 | 3 | |
| 17 | 10 | |
| 18 | 27 | |
| 19 | 12 | |
| 20 | 61 |
About Francisco J. Salgado
Francisco J. Salgado is a scholar working on Immunology and Allergy, Issues, ethics and legal aspects and Immunology, having authored 42 papers that have together received 1.1k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (12 papers), Asthma and respiratory diseases (11 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Oncology (377 citations), Physiology (59 citations) and Endocrinology, Diabetes and Metabolism (216 citations). Francisco J. Salgado has collaborated with scholars based in Spain, Sweden and United States. Frequent co-authors include Oscar J. Cordero, Montserrat Nogueira, Francisco Javier González‐Barcala, Juan E. Viñuela, Pilar Arias, Juan José Nieto‐Fontarigo, Rafael Franco, Antonio Mera, Luís Valdés and Amparo Pérez‐Díaz. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Physical Chemistry B.
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.