Chiara Lavarello

1.2k citations
30 papers · 872 indexed · h-index 16
  • Immunology top 10%
    • Immune Cell Function and Interaction 6
    • T-cell and B-cell Immunology 4
  • Oncology top 10%
    • Cancer, Hypoxia, and Metabolism 3
    • Extracellular vesicles in disease 4
    • Metabolomics and Mass Spectrometry Studies 2
  • Spectroscopy top 10%
    • Advanced Proteomics Techniques and Applications 4
    • Mass Spectrometry Techniques and Applications 3
    • Nanoplatforms for cancer theranostics 3

Chiara Lavarello

27 papers receiving 866 citations

Peers

Chiara Lavarello
Comparison fields: 5 of 86
  • Immunology 286
  • Oncology 251
  • Cancer Research 124
  • Molecular Biology 387
  • Spectroscopy 76
Replace Sung‐Yup Cho with:
Sung‐Yup Cho South Korea
Yee Chan‐Li United States
M. Sanders Netherlands
Monika Niehof Germany
Fei Yue China
I‐Neng Lee Taiwan
Emma Guilbaud United States
Federico Corti United States
Astrid Kragt Netherlands
Kamala Sundararaj United States
Chiara Lavarello relative to Sung‐Yup Cho South Korea Sung‐Yup Cho's profile →
Citations per field
00.5×
Sung‐Yup Cho · 1×
Citations per year

Countries citing papers authored by Chiara Lavarello

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Lavarello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20246
3 202411
4 202213
5 20227
6 20220
7 20226
8 20224
9 202110
10 202142
11 20218
12 202034
13 201956
14 201859
15 2018106
16 201652
17 201630
18 201535
19 201445
20 201438

About Chiara Lavarello

Chiara Lavarello is a scholar working on Immunology, Spectroscopy and Cancer Research, having authored 30 papers that have together received 872 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Extracellular vesicles in disease (4 papers), Advanced Proteomics Techniques and Applications (4 papers), T-cell and B-cell Immunology (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Mass Spectrometry Techniques and Applications (3 papers), Nanoplatforms for cancer theranostics (3 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). The work is most often cited by research in Immunology (286 citations), Oncology (251 citations) and Cancer Research (124 citations). Chiara Lavarello has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Andrea Petretto, Maurizio Bruschi, Laura Santucci, Giovanni Candiano, Elvira Inglese, Gian Marco Ghiggeri, Franco Locatelli, Silvia Ravera, Pier Giorgio Righetti and Martina Bartolucci.

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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