Clotilde Bravetti

436 citations
27 papers · 297 · h-index 8

Impact in

Papers in

Clotilde Bravetti

22 papers receiving 292 citations

Peers

Clotilde Bravetti
Comparison fields: 5 of 40
  • Genetics 105
  • Pathology and Forensic Medicine 90
  • Neurology 73
  • Oncology 89
  • Hematology 31
Replace María Luisa Martínez Ginés with:
María Luisa Martínez Ginés Spain
Jieqi Liu United States
Eyal Lebel Israel
Daniella Cook United States
Katarzyna Aleksandra Jalowiec Switzerland
Pieter Martijn Kolijn Netherlands
Peter Borchmann Germany
Emeline R. Chong United States
Ahmed Galal United States
Hairong Xu United States
Clotilde Bravetti relative to María Luisa Martínez Ginés Spain María Luisa Martínez Ginés's profile →
Citations per field
00.5×2×2.6×
María Luisa Martínez Ginés · 1×
Citations per year

Countries citing papers authored by Clotilde Bravetti

Since Specialization
Citations

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

Fields of papers citing papers by Clotilde Bravetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202161
2 202442
3 202134
4 201630
5 202429
6 202219
7 202317
8 202213
9 20227
10 20226
11 20226
12 20235
13 20214
14 20244
15 20244
16 20254
17 20243
18 20212
19 20222
20 20232

About Clotilde Bravetti

Clotilde Bravetti is a scholar working on Genetics, Pathology and Forensic Medicine, Immunology, Neurology and Hematology, having authored 27 papers that have together received 297 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (14 papers), Lymphoma Diagnosis and Treatment (13 papers), Immunodeficiency and Autoimmune Disorders (8 papers), CNS Lymphoma Diagnosis and Treatment (6 papers), CAR-T cell therapy research (3 papers), Viral-associated cancers and disorders (3 papers), Acute Myeloid Leukemia Research (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Genetics (105 citations), Pathology and Forensic Medicine (90 citations), Neurology (73 citations), Oncology (89 citations) and Hematology (31 citations). Clotilde Bravetti has collaborated with scholars based in France, United States and Italy. Frequent co-authors include Frédéric Davi, Damien Roos‐Weil, Élise Chapiro, Marine Armand, Florence Nguyen‐Khac, Marine Baron, Jonathan Caron, Dominique Bonnefont‐Rousselot, Denis Monneret and Françoise Imbert‐Bismut. Their work appears in journals such as HemaSphere, Leukemia, American Journal of Hematology, Blood and British Journal of Haematology.

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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