Marco Righetti

33 papers receiving 1.1k citations

Peers

Marco Righetti
Comparison fields: 5 of 102
  • Endocrinology, Diabetes and Metabolism 339
  • Nephrology 102
  • Cardiology and Cardiovascular Medicine 297
  • Rheumatology 149
  • Pharmacology 63
Replace Hajime Nakahama with:
Hajime Nakahama Japan
J. A. Millar New Zealand
B. Jackson Australia
Masatoshi Mune Japan
R. S. Elkeles United Kingdom
P Milliez France
G Stein Germany
Anastasios N. Lasaridis Greece
Satoshi Iimuro Japan
Robert E. Shangraw United States
Marco Righetti relative to Hajime Nakahama Japan Hajime Nakahama's profile →
Citations per field
00.5×3.6×
Hajime Nakahama · 1×
Citations per year

Countries citing papers authored by Marco Righetti

Since Specialization
Citations

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

Fields of papers citing papers by Marco Righetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997416
2 1995131
3 1998118
4 200679
5 200652
6
Effects of folic acid treatment on homocysteine levels and vascular disease in hemodialysis patients.
200350
7 202139
8 200328
9 200826
10 200720
11 200317
12 201816
13
Cigarette smoking and kidney involvement.
200115
14 200414
15 201612
16 200412
17
Autosomal recessive and dominant polycystic kidney diseases.
200412
18 20019
19 20108
20 20096

About Marco Righetti

Marco Righetti is a scholar working on Rheumatology, Nephrology, Molecular Biology, Complementary and alternative medicine and Physiology, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Folate and B Vitamins Research (7 papers), Complementary and Alternative Medicine Studies (4 papers), Dialysis and Renal Disease Management (4 papers), Genetic and Kidney Cyst Diseases (3 papers), Central Venous Catheters and Hemodialysis (2 papers), Educational and Social Studies (2 papers), Lysosomal Storage Disorders Research (2 papers) and Herbal Medicine Research Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (339 citations), Nephrology (102 citations), Cardiology and Cardiovascular Medicine (297 citations), Rheumatology (149 citations) and Pharmacology (63 citations). Marco Righetti has collaborated with scholars based in Italy, Switzerland and Germany. Frequent co-authors include Giuseppe Bianchi, Daniele Cusi, Cristina Barlassina, Paola Stella, Giorgio Casari, Rodolfo Rivera, Laura Zagato, Chiara Lanzani, Paolo Manunta and Lorena Citterio. Their work appears in journals such as Journal of Nephrology, Hypertension, Blood Purification, Annals of Vascular Surgery and Computer Methods and Programs in Biomedicine.

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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