M.J. Toro
Impact in
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- Neuropeptides and Animal Physiology
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- Cancer, Lipids, and Metabolism
Papers in
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- Protein Kinase Regulation and GTPase Signaling 6
- Plant biochemistry and biosynthesis 3
- Ubiquitin and proteasome pathways 1
- Surgery 5
- Cholesterol and Lipid Metabolism 5
- Co-authors
- Antonio Chiloeches (7 shared papers)Lutz Birnbaumer (3 shared papers)Marina Lasa (6 shared papers)Laura Calleros (3 shared papers)Agustı́n Montes (4 shared papers)A M Brown (1 shared paper)Juan Codina (1 shared paper)Rafael Mattera (1 shared paper)
- Journals
- FEBS Letters (2 papers)European Journal of Immunology (1 paper)Carcinogenesis (1 paper)Journal of Chromatography A (1 paper)European Journal of Endocrinology (1 paper)
- Partner nations
- SpainUnited States
In The Last Decade
M.J. Toro
16 papers receiving 505 citations
Peers
Comparison fields: 5 of 77
- Cellular and Molecular Neuroscience 116
- Cancer Research 63
- Molecular Biology 298
- Oncology 90
- Immunology 64
Countries citing papers authored by M.J. Toro
This map shows the geographic impact of M.J. Toro'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 M.J. Toro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.J. Toro more than expected).
Fields of papers citing papers by M.J. Toro
This network shows the impact of papers produced by M.J. Toro. 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 M.J. Toro. The network helps show where M.J. Toro may publish in the future.
Co-authors
The 25 scholars most cited alongside M.J. Toro, 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 | 2008 | 118 | |
| 2 | 1990 | 114 | |
| 3 | 2001 | 69 | |
| 4 | 2006 | 57 | |
| 5 | 1987 | 31 | |
| 6 | 2006 | 29 | |
| 7 | 1986 | 24 | |
| 8 | 2009 | 21 | |
| 9 | 1995 | 14 | |
| 10 | 1997 | 11 | |
| 11 | 1983 | 10 | |
| 12 | 1997 | 10 | |
| 13 | 1990 | 7 | |
| 14 | 2008 | 5 | |
| 15 | 1993 | 4 | |
| 16 | 1985 | 1 | |
| 17 | 1986 | 0 |
About M.J. Toro
M.J. Toro is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience and Immunology, having authored 17 papers that have together received 525 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (6 papers), Cholesterol and Lipid Metabolism (5 papers), Plant biochemistry and biosynthesis (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Neuropeptides and Animal Physiology (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Ubiquitin and proteasome pathways (1 paper) and Insect Utilization and Effects (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (116 citations), Cancer Research (63 citations), Molecular Biology (298 citations), Oncology (90 citations) and Immunology (64 citations). M.J. Toro has collaborated with scholars based in Spain and United States. Frequent co-authors include Antonio Chiloeches, Lutz Birnbaumer, Marina Lasa, Laura Calleros, Agustı́n Montes, A M Brown, Juan Codina, Rafael Mattera, Norbert F. Scherer and Alberto Álvarez. Their work appears in journals such as FEBS Letters, European Journal of Immunology, Carcinogenesis, Journal of Chromatography A and European Journal of Endocrinology.
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.