Chiara Troffa

57 papers receiving 2.9k citations

Chiara Troffa's Hit Papers

New genetic loci link adipose and insulin biology to body fat distribution 2015 · 1.2k citations
1.2k0+3+7Years since publication4008001.2k

Peers

Chiara Troffa
Comparison fields: 5 of 114
  • Endocrinology, Diabetes and Metabolism 748
  • Cardiology and Cardiovascular Medicine 788
  • Genetics 780
  • Pharmacology 172
  • Physiology 444
Replace Peter Eggena with:
Peter Eggena United States
Stephan R Holmer Germany
Tomoaki Ishigami Japan
Eitaro Nakashima Japan
Toshio Murase Japan
Maren Wellner Germany
Tim D. Spector United Kingdom
Ewa Zukowska-Szczechowska Poland
Sue Shaw‐Hawkins United Kingdom
Angela Doering Germany
Chiara Troffa relative to Peter Eggena United States Peter Eggena's profile →
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Citations per year

Countries citing papers authored by Chiara Troffa

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Troffa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
New genetic loci link adipose and insulin biology to body fat distribution
Hit paper breakdown →
20151228
2 1997447
3 1999249
4 2011135
5 1999122
6 198761
7 200255
8 200449
9 199243
10 201438
11 198937
12 200136
13 198935
14 200733
15 201432
16 201032
17 199031
18 199330
19 201530
20 200529

About Chiara Troffa

Chiara Troffa is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Biochemistry, Physiology and Pediatrics, Perinatology and Child Health, having authored 61 papers that have together received 3.1k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (23 papers), Renin-Angiotensin System Studies (18 papers), Blood Pressure and Hypertension Studies (7 papers), Birth, Development, and Health (6 papers), Ion Transport and Channel Regulation (6 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (748 citations), Cardiology and Cardiovascular Medicine (788 citations), Genetics (780 citations), Pharmacology (172 citations) and Physiology (444 citations). Chiara Troffa has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Nicola Glorioso, Fabiana Filigheddu, Paolo Pinna Parpaglia, Paolo Manunta, Aldo Soro, Cristina Barlassina, Daniele Cusi, Giuseppe Bianchi, Paola Stella and Stefano Collatina. Their work appears in journals such as Hypertension, American Journal of Physiology-Endocrinology and Metabolism, Pharmacogenomics, Journal of Hypertension and Journal of Cardiovascular Pharmacology.

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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