Marc Rio

25 papers receiving 892 citations

Peers

Marc Rio
Comparison fields: 5 of 77
  • Oncology 220
  • Cancer Research 107
  • Genetics 167
  • Molecular Biology 380
  • Aquatic Science 35
Replace Dorothee Foernzler with:
Dorothee Foernzler Switzerland
Hisao Fujii Japan
Maode Lai China
Gerd Helftenbein Germany
Kenji Kamiya Japan
Han‐Jong Kim South Korea
Barbara M. Schreiber United States
Charles E. Foulds United States
Hidehiko Fujinaka Japan
Kenneth C. Palmer United States
Marc Rio relative to Dorothee Foernzler Switzerland Dorothee Foernzler's profile →
Citations per field
00.5×2×4×5.8×
Dorothee Foernzler · 1×
Citations per year

Countries citing papers authored by Marc Rio

Since Specialization
Citations

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

Fields of papers citing papers by Marc Rio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987255
2
pS2 expression and response to hormonal therapy in patients with advanced breast cancer.
1991110
3 2009104
4
Identification of a new interferon-alpha-inducible gene (p27) on human chromosome 14q32 and its expression in breast carcinoma.
199386
5 200082
6 201164
7 201345
8 199941
9 201740
10 201717
11 202216
12
Expression of an estrogen-induced breast cancer-associated protein (pS2) in benign and malignant human ovarian cysts.
199414
13 199512
14 202210
15 20077
16 20064
17 20063
18 20023
19 19822
20
[Infarction of the anterior spinal artery and primary antiphospholipid syndrome].
20092

About Marc Rio

Marc Rio is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Genetics and Cancer Research, having authored 25 papers that have together received 922 indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (4 papers), Estrogen and related hormone effects (4 papers), Cancer, Lipids, and Metabolism (2 papers), Cancer-related Molecular Pathways (2 papers), HER2/EGFR in Cancer Research (2 papers), Cellular Mechanics and Interactions (2 papers), Cell Adhesion Molecules Research (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Oncology (220 citations), Cancer Research (107 citations), Genetics (167 citations), Molecular Biology (380 citations) and Aquatic Science (35 citations). Marc Rio has collaborated with scholars based in France, United States and Spain. Frequent co-authors include Pierre Chambon, Jean‐Pierre Bellocq, Ulla Rasmussen, Gervaise Loirand, C. Koehl, B Gairard, R Rénaud, H Caldéroli, A. Krust and Pierre Pacaud. Their work appears in journals such as British Journal of Pharmacology, Hypertension, Proceedings of the National Academy of Sciences, The FASEB Journal and Gene.

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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