Ivan Formentini

2.1k citations
16 papers · 966 · h-index 12

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
  • Nephrology top 5%
    • Acute Kidney Injury Research
    • Chronic Kidney Disease and Diabetes

Papers in

    • Metabolism, Diabetes, and Cancer 2
    • Melanoma and MAPK Pathways 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Chronic Kidney Disease and Diabetes 5
    • Acute Kidney Injury Research 2
    • Renal Diseases and Glomerulopathies 2

Ivan Formentini

16 papers receiving 958 citations

Peers

Ivan Formentini
Comparison fields: 5 of 93
  • Aging 66
  • Nephrology 88
  • Cell Biology 140
  • Molecular Biology 535
  • Physiology 196
Replace Wei Mu with:
Wei Mu China
Joon Hyeok Kwak United States
Jingzi Zhang China
Valentina Izzo France
Heidi Dorward United States
Yinfeng Xu China
Yue Sheng China
Louisa M. Villeneuve United States
Duen-Yi Huang Taiwan
Mengjia Qian China
Ivan Formentini relative to Wei Mu China Wei Mu's profile →
Citations per field
00.5×3.5×
Wei Mu · 1×
Citations per year

Countries citing papers authored by Ivan Formentini

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Formentini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2009198
2 2006178
3 2014117
4 201676
5 201573
6 201273
7 202354
8 201246
9 200845
10 200042
11 200329
12 201212
13 20139
14 20146
15 20126
16 20182

About Ivan Formentini

Ivan Formentini is a scholar working on Molecular Biology, Nephrology, Surgery, Cell Biology and Physiology, having authored 16 papers that have together received 966 indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (5 papers), Pancreatic function and diabetes (3 papers), Telomeres, Telomerase, and Senescence (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Melanoma and MAPK Pathways (2 papers), Acute Kidney Injury Research (2 papers), Renal Diseases and Glomerulopathies (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Aging (66 citations), Nephrology (88 citations), Cell Biology (140 citations), Molecular Biology (535 citations) and Physiology (196 citations). Ivan Formentini has collaborated with scholars based in Switzerland, United States and Italy. Frequent co-authors include Riccardo Brambilla, Attilio Bondanza, Luigi Naldini, Chiara Vantaggiato, Chiara Bonini, Roméo Ricci, María Bobadilla, Marı́a A. Blasco, Christian Bär and Fátima Bosch. Their work appears in journals such as Nephrology Dialysis Transplantation, PLoS ONE, Blood, Infection and Immunity and Diabetes.

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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