Renata Risi

1.6k citations
34 papers · 1.2k · h-index 16

Impact in

  • Physiology top 5%
    • Diet and metabolism studies
    • Adipose Tissue and Metabolism
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research

Papers in

Renata Risi

32 papers receiving 1.2k citations

Peers

Renata Risi
Comparison fields: 5 of 96
  • Physiology 393
  • Infectious Diseases 286
  • Endocrinology, Diabetes and Metabolism 202
  • Epidemiology 203
  • Neurology 81
Replace DARIO TUCCINARDI with:
DARIO TUCCINARDI Italy
Dario Tuccinardi Italy
Deepesh Khanna United States
Bianca de Almeida-Pititto Brazil
Carolyn T. Bramante United States
Giuseppe Merra Italy
Davide Masi Italy
William D. Green United States
Yi‐Chou Hou Taiwan
Shajith Anoop India
Renata Risi relative to DARIO TUCCINARDI Italy DARIO TUCCINARDI's profile →
Citations per field
00.5×1.5×2×2.5×
DARIO TUCCINARDI · 1×
Citations per year

Countries citing papers authored by Renata Risi

Since Specialization
Citations

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

Fields of papers citing papers by Renata Risi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Renata Risi, 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 Renata Risi Line = papers co-authored together Renata Risi 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 2021197
2 2020179
3 2020155
4 2020115
5 202075
6 202068
7 202049
8 202238
9 202233
10 202033
11 201932
12 202228
13 202027
14 202024
15 202319
16 202118
17 202013
18 202213
19 202311
20 20248

About Renata Risi

Renata Risi is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Genetics, Infectious Diseases and Epidemiology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diet and metabolism studies (11 papers), Diabetes and associated disorders (6 papers), Diet, Metabolism, and Disease (5 papers), Liver Disease Diagnosis and Treatment (5 papers), COVID-19 Clinical Research Studies (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Bariatric Surgery and Outcomes (2 papers). The work is most often cited by research in Physiology (393 citations), Infectious Diseases (286 citations), Endocrinology, Diabetes and Metabolism (202 citations), Epidemiology (203 citations) and Neurology (81 citations). Renata Risi has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include MIKIKO WATANABE, Lucio Gnessi, Carla Lubrano, Stefania Mariani, Dario Tuccinardi, Sabrina Basciani, Silvia Manfrini, Rossella Tozzi, Giovanni Spera and Davide Masi. Their work appears in journals such as Diabetes/Metabolism Research and Reviews, Nutrients, Diabetes Research and Clinical Practice, Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity and Scientific Reports.

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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