Chiara Macchi

3.5k citations
84 papers · 2.5k · h-index 28

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 22
    • Protein Kinase Regulation and GTPase Signaling 5

Chiara Macchi

80 papers receiving 2.4k citations

Peers

Chiara Macchi
Comparison fields: 5 of 113
  • Endocrinology, Diabetes and Metabolism 399
  • Surgery 934
  • Cancer Research 217
  • Cardiology and Cardiovascular Medicine 250
  • Epidemiology 377
Replace Lisa R. Tannock with:
Lisa R. Tannock United States
Thomas Gautier France
Francesco Paolo Mancini Italy
Dilip K. Deb United States
John F. Moorhead United Kingdom
Salvatore Piro Italy
Lijian Tao China
Carlo Pesce Italy
Sanyuan Hu China
Victòria Ceperuelo‐Mallafré Spain
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Citations per field
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Citations per year

Countries citing papers authored by Chiara Macchi

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Macchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018189
2 2019188
3 2018144
4 2016125
5 2015100
6 202187
7 202183
8 202178
9 201977
10 201376
11 201568
12 201962
13 201554
14 201653
15 201948
16 201846
17 201445
18 202137
19 201437
20 201836

About Chiara Macchi

Chiara Macchi is a scholar working on Surgery, Molecular Biology, Epidemiology, Cancer Research and Immunology, having authored 84 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (22 papers), Liver Disease Diagnosis and Treatment (7 papers), Cancer, Lipids, and Metabolism (7 papers), Atherosclerosis and Cardiovascular Diseases (7 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Ovarian cancer diagnosis and treatment (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (399 citations), Surgery (934 citations), Cancer Research (217 citations), Cardiology and Cardiovascular Medicine (250 citations) and Epidemiology (377 citations). Chiara Macchi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Massimiliano Ruscica, Alberto Corsini, Paolo Magni, Cesare R. Sirtori, Nicola Ferri, Paola Dongiovanni, Chiara Ricci, Marica Meroni, Miriam Longo and Erika Paolini. Their work appears in journals such as Scientific Reports, European Journal of Internal Medicine, Atherosclerosis, International Journal of Gynecological Cancer and American Journal Of Pathology.

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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