Fernando Salgado-Polo
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
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- Endoplasmic Reticulum Stress and Disease
Papers in
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- Sphingolipid Metabolism and Signaling 10
- Lipid Membrane Structure and Behavior 3
- Enzyme function and inhibition 2
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- Endoplasmic Reticulum Stress and Disease 5
- Co-authors
- Anastassis Perrakis (12 shared papers)Wouter H. Moolenaar (4 shared papers)Craig Jamieson (4 shared papers)Willem‐Jan Keune (3 shared papers)Simon J. F. Macdonald (3 shared papers)Minos–Timotheos Matsoukas (2 shared papers)Tatjana Heidebrecht (2 shared papers)Alexander Fish (1 shared paper)
- Journals
- Journal of Medicinal Chemistry (4 papers)Journal of Biological Chemistry (2 papers)Acta Crystallographica Section D Structural Biology (1 paper)Cancers (1 paper)Cell Reports (1 paper)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Fernando Salgado-Polo
12 papers receiving 298 citations
Peers
Comparison fields: 5 of 69
- Physiology 35
- Cell Biology 74
- Molecular Biology 209
- Immunology 44
- Biochemistry 13
Countries citing papers authored by Fernando Salgado-Polo
This map shows the geographic impact of Fernando Salgado-Polo'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 Fernando Salgado-Polo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Salgado-Polo more than expected).
Fields of papers citing papers by Fernando Salgado-Polo
This network shows the impact of papers produced by Fernando Salgado-Polo. 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 Fernando Salgado-Polo. The network helps show where Fernando Salgado-Polo may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Salgado-Polo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 72 | |
| 2 | 2021 | 46 | |
| 3 | 2019 | 30 | |
| 4 | 2018 | 30 | |
| 5 | 2016 | 29 | |
| 6 | 2017 | 28 | |
| 7 | 2023 | 20 | |
| 8 | 2022 | 15 | |
| 9 | 2022 | 13 | |
| 10 | 2020 | 11 | |
| 11 | 2021 | 4 | |
| 12 | 2020 | 3 |
About Fernando Salgado-Polo
Fernando Salgado-Polo is a scholar working on Molecular Biology, Cell Biology, Physiology, Organic Chemistry and Surgery, having authored 12 papers that have together received 301 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (10 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Lipid Membrane Structure and Behavior (3 papers), Calcium signaling and nucleotide metabolism (2 papers), Enzyme function and inhibition (2 papers), Pancreatic function and diabetes (1 paper), Cancer Treatment and Pharmacology (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Physiology (35 citations), Cell Biology (74 citations), Molecular Biology (209 citations), Immunology (44 citations) and Biochemistry (13 citations). Fernando Salgado-Polo has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include Anastassis Perrakis, Wouter H. Moolenaar, Craig Jamieson, Willem‐Jan Keune, Simon J. F. Macdonald, Minos–Timotheos Matsoukas, Tatjana Heidebrecht, Alexander Fish, Andrew J. Morris and Frances Potjewyd. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Biological Chemistry, Acta Crystallographica Section D Structural Biology, Cancers and Cell Reports.
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.