Chiara Troffa

53 papers receiving 1.5k citations

Peers

Chiara Troffa
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 724
  • Cardiology and Cardiovascular Medicine 705
  • Pharmacology 135
  • Nephrology 71
  • Behavioral Neuroscience 34
Replace R. F. Bing with:
R. F. Bing United Kingdom
Grazia Tripodi Italy
Laura Zagato Italy
Paola Stella Italy
Mary L. Kaldunski United States
Anthony J. Balmforth United Kingdom
Joep H.M. van Esch Netherlands
Stefan Schäfer Germany
Ellen G. McMahon United States
Jürgen Theuer Germany
Chiara Troffa relative to R. F. Bing United Kingdom R. F. Bing's profile →
Citations per field
00.5×
R. F. Bing · 1×
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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997417
2 1999238
3 1999116
4 198756
5 200252
6 200446
7 199242
8 200134
9 201433
10 198933
11 198931
12 200729
13 200528
14 199028
15 199328
16 201027
17
Plasma prorenin during early pregnancy: ovarian secretion under gonadotropin control?
198624
18 200923
19 199321
20 200821

About Chiara Troffa

Chiara Troffa is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Molecular Biology, Physiology and Pediatrics, Perinatology and Child Health, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (25 papers), Renin-Angiotensin System Studies (16 papers), Blood Pressure and Hypertension Studies (7 papers), Ion Transport and Channel Regulation (7 papers), Birth, Development, and Health (6 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers) and Renal function and acid-base balance (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (724 citations), Cardiology and Cardiovascular Medicine (705 citations), Pharmacology (135 citations), Nephrology (71 citations) and Behavioral Neuroscience (34 citations). Chiara Troffa has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Nicola Glorioso, Fabiana Filigheddu, Paolo Pinna Parpaglia, Paolo Manunta, Aldo Soro, Daniele Cusi, Cristina Barlassina, Giuseppe Bianchi, Paola Stella and Marco Pahor. Their work appears in journals such as Hypertension, American Journal of Physiology-Endocrinology and Metabolism, Journal of Hypertension, Journal of Cardiovascular Pharmacology and PLoS ONE.

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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