Céline E. Riera

1.7k total citations
24 papers, 1.2k citations indexed

About

Céline E. Riera is a scholar working on Physiology, Sensory Systems and Endocrine and Autonomic Systems. According to data from OpenAlex, Céline E. Riera has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Physiology, 9 papers in Sensory Systems and 8 papers in Endocrine and Autonomic Systems. Recurrent topics in Céline E. Riera's work include Adipose Tissue and Metabolism (9 papers), Olfactory and Sensory Function Studies (8 papers) and Biochemical Analysis and Sensing Techniques (7 papers). Céline E. Riera is often cited by papers focused on Adipose Tissue and Metabolism (9 papers), Olfactory and Sensory Function Studies (8 papers) and Biochemical Analysis and Sensing Techniques (7 papers). Céline E. Riera collaborates with scholars based in United States, Switzerland and Mexico. Céline E. Riera's co-authors include Andrew Dillin, Johannes le Coutre, Carsten Merkwirth, Sidney A. Simon, Horst Vogel, C. Daniel De Magalhaes Filho, Jonathan J. Halloran, Mathias Leblanc, Mark O. Huising and Leon G. Fine and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Céline E. Riera

23 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Céline E. Riera United States 16 406 330 316 282 274 24 1.2k
Sungjae Yoo South Korea 13 157 0.4× 262 0.8× 430 1.4× 118 0.4× 123 0.4× 18 806
Shigenobu Matsumura Japan 22 503 1.2× 524 1.6× 266 0.8× 448 1.6× 8 0.0× 75 1.5k
Xiaoman Zhu United States 17 1.3k 3.2× 112 0.3× 163 0.5× 235 0.8× 20 0.1× 21 1.7k
Werner Neuhausser United States 8 611 1.5× 640 1.9× 1.8k 5.6× 517 1.8× 28 0.1× 12 2.5k
Nicolas Voilley France 24 3.0k 7.3× 792 2.4× 952 3.0× 249 0.9× 91 0.3× 31 3.9k
Shaun McNulty United Kingdom 22 761 1.9× 243 0.7× 898 2.8× 415 1.5× 10 0.0× 38 2.1k
Amber N. Murray United States 9 413 1.0× 516 1.6× 965 3.1× 247 0.9× 22 0.1× 10 1.5k
Kazuaki Iguchi Japan 20 357 0.9× 225 0.7× 81 0.3× 91 0.3× 24 0.1× 73 1.3k
Hai Zhang China 16 470 1.2× 301 0.9× 15 0.0× 59 0.2× 114 0.4× 34 1.4k
Lori M. N. Shimoda United States 13 222 0.5× 138 0.4× 154 0.5× 74 0.3× 15 0.1× 24 783

Countries citing papers authored by Céline E. Riera

Since Specialization
Citations

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

Fields of papers citing papers by Céline E. Riera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Céline E. Riera. 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 Céline E. Riera. The network helps show where Céline E. Riera may publish in the future.

Co-authorship network of co-authors of Céline E. Riera

This figure shows the co-authorship network connecting the top 25 collaborators of Céline E. Riera. A scholar is included among the top collaborators of Céline E. Riera based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Céline E. Riera. Céline E. Riera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Riera, Céline E.. (2024). Diabetes, IL-10 and the brain’s microvascular crisis. Nature Metabolism. 6(11). 2029–2030. 1 indexed citations
3.
Jovanović, Predrag, et al.. (2023). A sex-specific thermogenic neurocircuit induced by predator smell recruiting cholecystokinin neurons in the dorsomedial hypothalamus. Nature Communications. 14(1). 4937–4937. 7 indexed citations
4.
Cao, Duo‐Yao, Suguru Saito, Wei Fan, et al.. (2023). Myeloid cell ACE shapes cellular metabolism and function in PCSK-9 induced atherosclerosis. Frontiers in Immunology. 14. 1278383–1278383. 4 indexed citations
5.
Hamid, Syed Muhammad, Aslı Yıldırım, Ganes C. Sen, et al.. (2022). PACT establishes a posttranscriptional brake on mitochondrial biogenesis by promoting the maturation of miR-181c. Journal of Biological Chemistry. 298(7). 102050–102050. 6 indexed citations
6.
Jovanović, Predrag & Céline E. Riera. (2022). Olfactory system and energy metabolism: a two-way street. Trends in Endocrinology and Metabolism. 33(4). 281–291. 19 indexed citations
7.
Jovanović, Predrag, et al.. (2022). Sustained chemogenetic activation of locus coeruleus norepinephrine neurons promotes dopaminergic neuron survival in synucleinopathy. PLoS ONE. 17(3). e0263074–e0263074. 13 indexed citations
8.
Chi, Jingyi, et al.. (2021). Sensory neurons expressing calcitonin gene-related peptide α regulate adaptive thermogenesis and diet-induced obesity. Molecular Metabolism. 45. 101161–101161. 25 indexed citations
9.
Halloran, Jonathan J., et al.. (2020). Monoclonal therapy against calcitonin gene-related peptide lowers hyperglycemia and adiposity in type 2 diabetes mouse models. SHILAP Revista de lepidopterología. 8. 100060–100060. 15 indexed citations
10.
Riera, Céline E.. (2020). Can Monoclonal Antibodies against CGRP Offer New Treatment Options for Type 2 Diabetes?. PubMed. 2(4). 114–118. 3 indexed citations
11.
Fine, Leon G. & Céline E. Riera. (2019). Sense of Smell as the Central Driver of Pavlovian Appetite Behavior in Mammals. Frontiers in Physiology. 10. 1151–1151. 35 indexed citations
12.
Riera, Céline E., Eva Tsaousidou, Jonathan J. Halloran, et al.. (2017). The Sense of Smell Impacts Metabolic Health and Obesity. Cell Metabolism. 26(1). 198–211.e5. 132 indexed citations
13.
Kim, Hyun-Eui, Ana R. Grant, Milos Simic, et al.. (2016). Lipid Biosynthesis Coordinates a Mitochondrial-to-Cytosolic Stress Response. Cell. 166(6). 1539–1552.e16. 157 indexed citations
14.
Heimbucher, Thomas, Zheng Liu, Carine Bossard, et al.. (2015). The Deubiquitylase MATH-33 Controls DAF-16 Stability and Function in Metabolism and Longevity. Cell Metabolism. 22(1). 151–163. 27 indexed citations
15.
Riera, Céline E. & Andrew Dillin. (2015). Can aging be 'drugged'?. Nature Medicine. 21(12). 1400–1405. 35 indexed citations
16.
Riera, Céline E. & Andrew Dillin. (2015). Tipping the metabolic scales towards increased longevity in mammals. Nature Cell Biology. 17(3). 196–203. 115 indexed citations
17.
Riera, Céline E., Mark O. Huising, Mathias Leblanc, et al.. (2014). TRPV1 Pain Receptors Regulate Longevity and Metabolism by Neuropeptide Signaling. Cell. 157(5). 1023–1036. 161 indexed citations
18.
Riera, Céline E., Horst Vogel, Sidney A. Simon, Sami Damak, & Johannes le Coutre. (2009). Sensory Attributes of Complex Tasting Divalent Salts Are Mediated by TRPM5 and TRPV1 Channels. Journal of Neuroscience. 29(8). 2654–2662. 47 indexed citations
19.
Riera, Céline E., Horst Vogel, Sidney A. Simon, Sami Damak, & Johannes le Coutre. (2008). The capsaicin receptor participates in artificial sweetener aversion. Biochemical and Biophysical Research Communications. 376(4). 653–657. 25 indexed citations
20.
Riera, Céline E., Horst Vogel, Sidney A. Simon, & Johannes le Coutre. (2007). Artificial sweeteners and salts producing a metallic taste sensation activate TRPV1 receptors. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 293(2). R626–R634. 108 indexed citations

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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