Marc Rio

23 papers receiving 861 citations

Peers

Marc Rio
Comparison fields: 5 of 81
  • Oncology 238
  • Cancer Research 114
  • Genetics 180
  • Molecular Biology 403
  • Aquatic Science 34
Replace Yuko Konishi with:
Yuko Konishi Japan
Kenji Kamiya Japan
Sheelu Varghese United States
Shuanfang Li United States
Barbara M. Schreiber United States
Kenneth C. Palmer United States
Maode Lai China
Janine M. Calabro United States
SJ Lauer United States
Magdalene K. Sgagias United States
Marc Rio relative to Yuko Konishi Japan Yuko Konishi's profile →
Citations per field
00.5×1.5×
Yuko Konishi · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987249
2
pS2 expression and response to hormonal therapy in patients with advanced breast cancer.
1991107
3 2009104
4
Identification of a new interferon-alpha-inducible gene (p27) on human chromosome 14q32 and its expression in breast carcinoma.
199386
5 200078
6 201162
7 201341
8 199939
9 201735
10 201716
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 20063
17 20062
18 19822
19 20251
20 20211

About Marc Rio

Marc Rio is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Oncology and Physiology, having authored 24 papers that have together received 888 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (5 papers), Pulmonary Hypertension Research and Treatments (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Cancer, Lipids, and Metabolism (2 papers), Cell Adhesion Molecules Research (2 papers), HER2/EGFR in Cancer Research (2 papers), Cardiovascular Function and Risk Factors (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Oncology (238 citations), Cancer Research (114 citations), Genetics (180 citations), Molecular Biology (403 citations) and Aquatic Science (34 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, A. Krust, H Caldéroli, B Gairard, R Rénaud and Pierre Pacaud. Their work appears in journals such as Hypertension, British Journal of Pharmacology, Proceedings of the National Academy of Sciences, Gene and Epilepsy Research.

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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