Diego Geroldi

3.7k citations
83 papers · 3.0k · h-index 29

Impact in

Papers in

Diego Geroldi

83 papers receiving 2.8k citations

Peers

Diego Geroldi
Comparison fields: 5 of 123
  • Clinical Biochemistry 819
  • Endocrinology, Diabetes and Metabolism 605
  • Biological Psychiatry 55
  • Neurology 181
  • Psychiatry and Mental health 304
Replace Abdelhamid Slama with:
Abdelhamid Slama France
Nobuyoshi Hirose Japan
Christoph Baerwald Germany
Kazuie Iinuma Japan
Martin Andrassy Germany
Pierre Bougnères France
Lene Christiansen Denmark
Salvatore Alesci United States
Mogens Fenger Denmark
B.K. Thelma India
Diego Geroldi relative to Abdelhamid Slama France Abdelhamid Slama's profile →
Citations per field
00.5×5.5×
Abdelhamid Slama · 1×
Citations per year

Countries citing papers authored by Diego Geroldi

Since Specialization
Citations

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

Fields of papers citing papers by Diego Geroldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005333
2 2004258
3 2006210
4 2005181
5 2005165
6 2005150
7 198491
8 200585
9 200681
10 200578
11 200565
12 197263
13 200256
14 200848
15 200548
16 200244
17 200844
18 201044
19 201042
20 199942

About Diego Geroldi

Diego Geroldi is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 83 papers that have together received 3.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (27 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (11 papers), Advanced Glycation End Products research (8 papers), T-cell and Retrovirus Studies (5 papers), Cancer, Lipids, and Metabolism (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Alzheimer's disease research and treatments (4 papers) and Antiplatelet Therapy and Cardiovascular Diseases (4 papers). The work is most often cited by research in Clinical Biochemistry (819 citations), Endocrinology, Diabetes and Metabolism (605 citations), Biological Psychiatry (55 citations), Neurology (181 citations) and Psychiatry and Mental health (304 citations). Diego Geroldi has collaborated with scholars based in Italy, Canada and United States. Frequent co-authors include Enzo Emanuele, Colomba Falcone, Angela D’Angelo, Maria Paola Buzzi, Carmine Gazzaruso, Piercarlo Minoretti, Adriana Garzaniti, Marco Bertona, Mariaclara Cuccia and Pierluigi Politi. Their work appears in journals such as Clinica Chimica Acta, International Journal of Molecular Medicine, Journal of Psychosomatic Research, International Journal of Cardiology and Thrombosis and Haemostasis.

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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