Roberto Coppari

11.6k total citations · 4 hit papers
55 papers, 7.9k citations indexed

About

Roberto Coppari is a scholar working on Endocrine and Autonomic Systems, Physiology and Nutrition and Dietetics. According to data from OpenAlex, Roberto Coppari has authored 55 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Endocrine and Autonomic Systems, 30 papers in Physiology and 14 papers in Nutrition and Dietetics. Recurrent topics in Roberto Coppari's work include Regulation of Appetite and Obesity (28 papers), Adipose Tissue and Metabolism (23 papers) and Biochemical Analysis and Sensing Techniques (14 papers). Roberto Coppari is often cited by papers focused on Regulation of Appetite and Obesity (28 papers), Adipose Tissue and Metabolism (23 papers) and Biochemical Analysis and Sensing Techniques (14 papers). Roberto Coppari collaborates with scholars based in United States, Switzerland and Italy. Roberto Coppari's co-authors include Joel K. Elmquist, Bradford B. Lowell, Nina Balthasar, Charlotte E. Lee, Giorgio Ramadori, Streamson C. Chua, Cláudia R. Vianna, Robert A. McGovern, Christian Bjørbæk and Michael A. Cowley and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Roberto Coppari

55 papers receiving 7.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dentate Gyrus NMDA Receptors Mediate Rapid Pattern Separation in the Hippocampal Network

2007 737 citations Thomas J. McHugh, Matthew W. Jones et al. Science profile →
Leptin Receptor Signaling in POMC Neurons Is Required for Normal Body Weight Homeostasis

2004 729 citations Nina Balthasar, Roberto Coppari et al. Neuron profile →
Leptin Directly Activates SF1 Neurons in the VMH, and This Action by Leptin Is Required for Normal Body-Weight Homeostasis

2006 629 citations Harveen Dhillon, Jeffrey M. Zigman et al. Neuron profile →
Glucose sensing by POMC neurons regulates glucose homeostasis and is impaired in obesity

2007 549 citations Roberto Coppari, Cláudia R. Vianna et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Roberto Coppari United States	36	4.5k	3.2k	2.0k	1.5k	1.4k	55	7.9k
Nina Balthasar United Kingdom	27	4.3k 1.0×	2.4k 0.8×	2.3k 1.1×	1.1k 0.8×	923 0.7×	31	6.8k
Wei Fan United States	34	4.2k 0.9×	2.1k 0.6×	2.7k 1.3×	1.6k 1.1×	835 0.6×	76	6.9k
Allison Xu United States	29	3.3k 0.7×	2.0k 0.6×	1.4k 0.7×	999 0.7×	962 0.7×	45	5.0k
Charlotte E. Lee United States	48	11.4k 2.6×	5.3k 1.7×	5.4k 2.6×	2.0k 1.3×	1.8k 1.3×	73	15.5k
Serge Luquet France	39	2.2k 0.5×	2.6k 0.8×	1.1k 0.5×	2.5k 1.6×	911 0.7×	105	6.8k
Julie A. Chowen Spain	54	3.2k 0.7×	2.3k 0.7×	1.0k 0.5×	1.5k 1.0×	842 0.6×	220	9.2k
Eric D. Berglund United States	32	1.9k 0.4×	2.0k 0.6×	892 0.4×	1.5k 1.0×	854 0.6×	45	4.8k
Eduardo A. Nillni United States	35	2.3k 0.5×	1.5k 0.5×	1.1k 0.5×	636 0.4×	609 0.4×	73	4.0k
Marya Shanabrough United States	35	3.5k 0.8×	2.1k 0.7×	1.7k 0.8×	1.1k 0.7×	498 0.4×	60	6.3k
Niels Vrang Denmark	48	4.1k 0.9×	2.7k 0.8×	1.5k 0.7×	1.7k 1.2×	1.3k 0.9×	144	8.3k

Countries citing papers authored by Roberto Coppari

Since Specialization

Citations

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

Fields of papers citing papers by Roberto Coppari

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Coppari

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Coppari. A scholar is included among the top collaborators of Roberto Coppari 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 Roberto Coppari. Roberto Coppari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Li, Ao, Eduardo Hideo Gilglioni, Leila Hosseinzadeh, et al.. (2025). Nutritional c‐Fos Induction Rewires Hepatic Metabolism and Can Promote Obesity‐Associated Hepatocellular Carcinoma. Advanced Science. 12(47). e09755–e09755. 1 indexed citations

Teixeira, Pryscila D. S., Christelle Veyrat‐Durebex, Emmanuel Somm, et al.. (2024). S100A9 exerts insulin-independent antidiabetic and anti-inflammatory effects. Science Advances. 10(1). eadj4686–eadj4686. 7 indexed citations

Andreani, Cristina, Caterina Bartolacci, Francesca Casciaro, et al.. (2023). SIRT6 promotes metastasis and relapse in HER2-positive breast cancer. Scientific Reports. 13(1). 22000–22000. 11 indexed citations

Coppari, Roberto, et al.. (2020). Insulin under the influence of light. Swiss Medical Weekly. 150(2526). w20273–w20273. 8 indexed citations

Ramadori, Giorgio, Kenichiro Kinouchi, Yu Liu, et al.. (2019). Light Entrains Diurnal Changes in Insulin Sensitivity of Skeletal Muscle via Ventromedial Hypothalamic Neurons. Cell Reports. 27(8). 2385–2398.e3. 12 indexed citations

Galiè, Mirco, Giorgio Ramadori, Jason Anderson, et al.. (2017). SIRT6 Suppresses Cancer Stem-like Capacity in Tumors with PI3K Activation Independently of Its Deacetylase Activity. Cell Reports. 18(8). 1858–1868. 40 indexed citations

Orozco-Solís, Ricardo, Lorena Aguilar‐Arnal, Mari Murakami, et al.. (2016). The Circadian Clock in the Ventromedial Hypothalamus Controls Cyclic Energy Expenditure. Cell Metabolism. 23(3). 467–478. 89 indexed citations

Fujikawa, Teppei, Eric D. Berglund, Vishal R. Patel, et al.. (2013). Leptin Engages a Hypothalamic Neurocircuitry to Permit Survival in the Absence of Insulin. Cell Metabolism. 18(3). 431–444. 106 indexed citations

Coppari, Roberto & Christian Bjørbæk. (2012). Leptin revisited: its mechanism of action and potential for treating diabetes. Nature Reviews Drug Discovery. 11(9). 692–708. 233 indexed citations

10.

Marino, Joseph, Abigail R. Dowling, Streamson C. Chua, et al.. (2012). Adipocyte Dysfunction in a Mouse Model of Polycystic Ovary Syndrome (PCOS): Evidence of Adipocyte Hypertrophy and Tissue-Specific Inflammation. PLoS ONE. 7(10). e48643–e48643. 27 indexed citations

11.

Ramadori, Giorgio, Teppei Fujikawa, Makoto Fukuda, et al.. (2010). SIRT1 Deacetylase in POMC Neurons Is Required for Homeostatic Defenses against Diet-Induced Obesity. Cell Metabolism. 12(1). 78–87. 188 indexed citations

12.

Donato, José, Roberta M. Cravo, Renata Frazão, et al.. (2010). Leptin’s effect on puberty in mice is relayed by the ventral premammillary nucleus and does not require signaling in Kiss1 neurons. Journal of Clinical Investigation. 121(1). 355–368. 261 indexed citations

13.

Hill, Jennifer W., Yong Xu, Frédéric Preitner, et al.. (2009). Phosphatidyl Inositol 3-Kinase Signaling in Hypothalamic Proopiomelanocortin Neurons Contributes to the Regulation of Glucose Homeostasis. Endocrinology. 150(11). 4874–4882. 75 indexed citations

14.

Pol, Anthony N. van den, Yang Yao, Liying Fu, et al.. (2009). Neuromedin B and Gastrin-Releasing Peptide Excite Arcuate Nucleus Neuropeptide Y Neurons in a Novel Transgenic Mouse Expressing StrongRenillaGreen Fluorescent Protein in NPY Neurons. Journal of Neuroscience. 29(14). 4622–4639. 186 indexed citations

15.

Hill, Jennifer W., Kevin W. Williams, Chianping Ye, et al.. (2008). Acute effects of leptin require PI3K signaling in hypothalamic proopiomelanocortin neurons in mice. Journal of Clinical Investigation. 118(5). 1796–1805. 287 indexed citations

16.

McHugh, Thomas J., Matthew W. Jones, Jennifer J. Quinn, et al.. (2007). Dentate Gyrus NMDA Receptors Mediate Rapid Pattern Separation in the Hippocampal Network. Science. 317(5834). 94–99. 737 indexed citations breakdown →

17.

Lazarus, Michael, Kyoko Yoshida-Court, Roberto Coppari, et al.. (2007). EP3 prostaglandin receptors in the median preoptic nucleus are critical for fever responses. Nature Neuroscience. 10(9). 1131–1133. 272 indexed citations

18.

Dhillon, Harveen, Jeffrey M. Zigman, Chianping Ye, et al.. (2006). Leptin Directly Activates SF1 Neurons in the VMH, and This Action by Leptin Is Required for Normal Body-Weight Homeostasis. Neuron. 49(2). 191–203. 629 indexed citations breakdown →

19.

Kievit, Paul, Jane K. Howard, Michael K. Badman, et al.. (2006). Enhanced leptin sensitivity and improved glucose homeostasis in mice lacking suppressor of cytokine signaling-3 in POMC-expressing cells. Cell Metabolism. 4(2). 123–132. 187 indexed citations

20.

Mazzocca, Antonio, Roberto Coppari, Raffaella De Franco, et al.. (2005). A Secreted Form of ADAM9 Promotes Carcinoma Invasion through Tumor-Stromal Interactions. Cancer Research. 65(11). 4728–4738. 144 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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