Chiara Vecchi

1.6k citations
24 papers · 1.3k · h-index 13

Impact in

  • Hematology top 2%
    • Iron Metabolism and Disorders
    • Erythropoietin and Anemia Treatment
  • Hepatology top 2%
    • Hepatitis C virus research

Papers in

Chiara Vecchi

22 papers receiving 1.2k citations

Peers

Chiara Vecchi
Comparison fields: 5 of 84
  • Hematology 492
  • Hepatology 264
  • Genetics 299
  • Nutrition and Dietetics 220
  • Epidemiology 378
Replace Rossana Gualdi with:
Rossana Gualdi Italy
Gennady P. Ilyin France
Brice Courselaud France
Gertraud Fröschl Austria
Mikio Kajihara Japan
Valérie‐Ann Raymond Canada
Marie‐France Szajnert France
Deborah L. Hodge United States
Tomoyasu Isobe Japan
Bertil Lindmark Sweden
Chiara Vecchi relative to Rossana Gualdi Italy Rossana Gualdi's profile →
Citations per field
00.5×3.8×
Rossana Gualdi · 1×
Citations per year

Countries citing papers authored by Chiara Vecchi

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Vecchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009258
2 2007206
3 2004195
4 2003127
5 2014117
6 2013104
7 200553
8 201438
9 199135
10 200934
11 201627
12 199514
13
Plasmapheresis and cytotoxic drugs for mixed cryoglobulinemia.
198413
14 20169
15 20095
16 20005
17 20004
18 20022
19 20231
20 20231

About Chiara Vecchi

Chiara Vecchi is a scholar working on Hepatology, Hematology, Genetics, Epidemiology and Nutrition and Dietetics, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Hepatitis C virus research (8 papers), Iron Metabolism and Disorders (6 papers), Hepatitis B Virus Studies (4 papers), Hemoglobinopathies and Related Disorders (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Trace Elements in Health (2 papers), Systemic Lupus Erythematosus Research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (492 citations), Hepatology (264 citations), Genetics (299 citations), Nutrition and Dietetics (220 citations) and Epidemiology (378 citations). Chiara Vecchi has collaborated with scholars based in Italy, United States and Austria. Frequent co-authors include Antonello Pietrangelo, Giuliana Montosi, Kezhong Zhang, Randal J. Kaufman, Stephen A. Duncan, Igor Lamberti, Erica Villa, Carol Imbriano, Giuseppina Caretti and Valentina Salsi. Their work appears in journals such as Journal of Hepatology, Gastroenterology, Hepatology, Science and Journal of Molecular Medicine.

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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