M. Rives

2.5k citations
34 papers · 1.9k · h-index 18

Impact in

Papers in

    • Receptor Mechanisms and Signaling 13
    • Nicotinic Acetylcholine Receptors Study 2
    • Esophageal Cancer Research and Treatment 4

M. Rives

31 papers receiving 1.9k citations

Peers

M. Rives
Comparison fields: 5 of 97
  • Cellular and Molecular Neuroscience 848
  • Otorhinolaryngology 75
  • Molecular Biology 1.2k
  • Biophysics 84
  • Physiology 62
Replace Rafal T. Olszewski with:
Rafal T. Olszewski United States
Shutish C. Patel United States
Anna Carolina Carvalho da Fonseca Brazil
Michel Gillard Belgium
Yoshito Kinoshita United States
Wenting He China
Anke Müller Germany
S. Swillens Belgium
Philip K. Liu United States
Francois Marie Ngako Kadji Japan
M. Rives relative to Rafal T. Olszewski United States Rafal T. Olszewski's profile →
Citations per field
00.5×12×
Rafal T. Olszewski · 1×
Citations per year

Countries citing papers authored by M. Rives

Since Specialization
Citations

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

Fields of papers citing papers by M. Rives

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008421
2 2010280
3 2011206
4 2013118
5 2009107
6 201595
7 201294
8 200987
9 201968
10 200765
11 201754
12 202048
13 200944
14 201340
15 201139
16 201036
17 200026
18 201824
19 201613
20 201012

About M. Rives

M. Rives is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 1.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (13 papers), Head and Neck Cancer Studies (7 papers), Neuropeptides and Animal Physiology (6 papers), Esophageal Cancer Research and Treatment (4 papers), Neuroscience and Neuropharmacology Research (3 papers), Gastric Cancer Management and Outcomes (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Nicotinic Acetylcholine Receptors Study (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (848 citations), Otorhinolaryngology (75 citations), Molecular Biology (1.2k citations), Biophysics (84 citations) and Physiology (62 citations). M. Rives has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Jonathan A. Javitch, Jean‐Philippe Pin, Eric Trinquet, Laurent Prézeau, Laëtitia Comps‐Agrar, Damien Maurel, Thierry Durroux, Hervé Bazin, Emmanuel Bourrier and Mohammed Akli Ayoub. Their work appears in journals such as Molecular Pharmacology, Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics, Journal of Biological Chemistry and Nature Methods.

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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