M.J. Toro

654 citations
16 papers · 491 · h-index 11

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 6
    • Plant biochemistry and biosynthesis 3
    • Ubiquitin and proteasome pathways 1
    • Cholesterol and Lipid Metabolism 5

M.J. Toro

15 papers receiving 480 citations

Peers

M.J. Toro
Comparison fields: 5 of 76
  • Cellular and Molecular Neuroscience 109
  • Cancer Research 61
  • Molecular Biology 271
  • Oncology 87
  • Immunology 62
Replace Remko R. Bosch with:
Remko R. Bosch Netherlands
Honglian Huang United States
Isabelle Guillet-Deniau France
Richard J. Mann Australia
A. Baccichet Canada
Edward J. Kilbourne United States
Seán M. Kilbride Ireland
Feng Yin United States
Nobutaka Ohkubo Japan
Leena Patel United States
M.J. Toro relative to Remko R. Bosch Netherlands Remko R. Bosch's profile →
Citations per field
00.5×1.5×1.8×
Remko R. Bosch · 1×
Citations per year

Countries citing papers authored by M.J. Toro

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with M.J. Toro Line = papers co-authored together M.J. Toro links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2008111
2 199099
3 200166
4 200657
5 200629
6 198724
7 198623
8 200921
9 199514
10 199711
11 198310
12 199710
13 19907
14 20085
15 19934
16 19850

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 16 papers that have together received 491 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 (109 citations), Cancer Research (61 citations), Molecular Biology (271 citations), Oncology (87 citations) and Immunology (62 citations). M.J. Toro has collaborated with scholars based in Spain and United States. Frequent co-authors include Antonio Chiloeches, Marina Lasa, Laura Calleros, Lutz Birnbaumer, Agustı́n Montes, Norbert F. Scherer, Juan Codina, A M Brown, Rafael Mattera and M. J. Varas Lorenzo. Their work appears in journals such as FEBS Letters, Carcinogenesis, Journal of Cellular Biochemistry, International Journal of Developmental Neuroscience and European Journal of Immunology.

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.

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