Marcos Rivas

1.3k citations
20 papers · 1.1k · h-index 14

Impact in

Papers in

    • Fungal and yeast genetics research 3
    • Protein Kinase Regulation and GTPase Signaling 3
    • PI3K/AKT/mTOR signaling in cancer 2
    • Cellular transport and secretion 6
    • Endoplasmic Reticulum Stress and Disease 5

Marcos Rivas

19 papers receiving 1.1k citations

Peers

Marcos Rivas
Comparison fields: 5 of 85
  • Cell Biology 452
  • Biochemistry 99
  • Molecular Biology 762
  • Physiology 47
  • Endocrinology, Diabetes and Metabolism 118
Replace Catherine S. Chew with:
Catherine S. Chew United States
J LaMendola United States
J. D. Rothermel United States
Shafinaz Akhter United States
Hans‐Georg Sprenger Germany
Jose M. Orozco United States
Regina Kuliawat United States
M. O'Connell United States
Edgar F. da Cruz e Silva Portugal
Ángel Román Spain
Marcos Rivas relative to Catherine S. Chew United States Catherine S. Chew's profile →
Citations per field
00.5×5.1×
Catherine S. Chew · 1×
Citations per year

Countries citing papers authored by Marcos Rivas

Since Specialization
Citations

This map shows the geographic impact of Marcos Rivas'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 Marcos Rivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcos Rivas more than expected).

Fields of papers citing papers by Marcos Rivas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marcos Rivas. 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 Marcos Rivas. The network helps show where Marcos Rivas may publish in the future.

Co-authors

The 25 scholars most cited alongside Marcos Rivas, 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 Marcos Rivas Line = papers co-authored together Marcos Rivas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2002207
2 1994202
3 1998154
4 1999126
5 200792
6 200381
7 200462
8 199861
9 199830
10 200922
11 201322
12 202219
13 201116
14 201014
15 20027
16 20046
17 20244
18 20253
19 20092
20 20200

About Marcos Rivas

Marcos Rivas is a scholar working on Molecular Biology, Cell Biology, Endocrinology, Diabetes and Metabolism, Ophthalmology and Physiology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Fungal and yeast genetics research (3 papers), Thyroid Disorders and Treatments (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Glaucoma and retinal disorders (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Cell Biology (452 citations), Biochemistry (99 citations), Molecular Biology (762 citations), Physiology (47 citations) and Endocrinology, Diabetes and Metabolism (118 citations). Marcos Rivas has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include Vytas A. Bankaitis, José R. Naranjo, Min Fang, Pilar Santisteban, Donald L. Court, Bradford S. Powell, Charles L. Turnbough, Zhigang Xie, Glenn D. Prestwich and Britt Mellström. Their work appears in journals such as Molecular Endocrinology, Genes Brain & Behavior, Molecular Biology of the Cell, Antioxidants and Redox Signaling and The Journal of Clinical Endocrinology & Metabolism.

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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