Mario Delgado
Impact in
- Cellular and Molecular Neuroscience top 0.1%
- Neuropeptides and Animal Physiology
- Genetics top 0.2%
- Mesenchymal stem cell research
Papers in
-
- Neuropeptides and Animal Physiology 126
- Immunology 61
- Immunotherapy and Immune Responses 24
- Co-authors
- Doina GaneaElena González‐ReyRosa P. GomarizJavier LecetaAlejo ChornyDavid PozoCarmen MartínezLaura G. Rico
- Journals
- The Journal of Immunology (18 papers)Annals of the New York Academy of Sciences (15 papers)Journal of Neuroimmunology (10 papers)Peptides (6 papers)The FASEB Journal (6 papers)
- Partner nations
- SpainUnited StatesCanada
In The Last Decade
Mario Delgado
206 papers receiving 13.4k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Cellular and Molecular Neuroscience 6.0k
- Genetics 2.3k
- Immunology 3.1k
- Microbiology 884
- Neurology 1.0k
Countries citing papers authored by Mario Delgado
This map shows the geographic impact of Mario Delgado'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 Mario Delgado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Delgado more than expected).
Fields of papers citing papers by Mario Delgado
This network shows the impact of papers produced by Mario Delgado. 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 Mario Delgado. The network helps show where Mario Delgado may publish in the future.
Co-authors
The 25 scholars most cited alongside Mario Delgado, 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 | 2024 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2022 | 6 | |
| 4 | 2021 | 23 | |
| 5 | 2021 | 20 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 1 | |
| 9 | 2018 | 63 | |
| 10 | 2006 | 95 | |
| 11 | 2006 | 222 | |
| 12 | 2006 | 77 | |
| 13 | 2006 | 20 | |
| 14 | 2006 | 54 | |
| 15 | 2005 | 114 | |
| 16 | 2001 | 53 | |
| 17 | 2001 | 100 | |
| 18 | 2001 | 70 | |
| 19 | 2000 | 66 | |
| 20 | Vasoactive intestinal peptide (VIP) and pituitary adenylate cyclase-activation polypeptide (PACAP) protect mice from lethal endotoxemia through the inhibition of TNF-alpha and IL-6. | 1999 | 178 |
About Mario Delgado
Mario Delgado is a scholar working on Cellular and Molecular Neuroscience, Immunology, Behavioral Neuroscience, Microbiology and Genetics, having authored 210 papers that have together received 13.6k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (126 papers), Receptor Mechanisms and Signaling (33 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (28 papers), Chemokine receptors and signaling (25 papers), Cancer, Stress, Anesthesia, and Immune Response (24 papers), Immunotherapy and Immune Responses (24 papers), Peptidase Inhibition and Analysis (21 papers) and Mesenchymal stem cell research (20 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (6.0k citations), Genetics (2.3k citations), Immunology (3.1k citations), Microbiology (884 citations) and Neurology (1.0k citations). Mario Delgado has collaborated with scholars based in Spain, United States and Canada. Frequent co-authors include Doina Ganea, Elena González‐Rey, Rosa P. Gomariz, Javier Leceta, Alejo Chorny, David Pozo, Carmen Martínez, Laura G. Rico, Dirk Büscher and Catalina Abad. Their work appears in journals such as The Journal of Immunology, Annals of the New York Academy of Sciences, Journal of Neuroimmunology, Peptides and The FASEB Journal.
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.