Michaela Cerri

3.4k citations
29 papers · 1.1k · h-index 14

Impact in

Papers in

Michaela Cerri

27 papers receiving 1.1k citations

Peers

Michaela Cerri
Comparison fields: 5 of 52
  • Genetics 545
  • Pathology and Forensic Medicine 603
  • Oncology 461
  • Immunology 236
  • Hematology 112
Replace D Filippa with:
D Filippa United States
Maurizio Rupolo Italy
Olga Balagué Spain
Daisuke Ennishi Japan
Pau Abrisqueta Spain
Jun Takizawa Japan
Tadashi Motoori Japan
Sara Rattotti Italy
Tomáš Papajík Czechia
Hans‐Heinrich Wacker Germany
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Citations per field
00.5×8.3×
D Filippa · 1×
Citations per year

Countries citing papers authored by Michaela Cerri

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Cerri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009218
2 2009193
3 2008173
4 2005125
5 200275
6
Aberrant somatic hypermutation in transformation of follicular lymphoma and chronic lymphocytic leukemia to diffuse large B-cell lymphoma.
200662
7 200848
8 200341
9 200939
10 200931
11 200931
12 200526
13 200616
14 200613
15 200610
16 20189
17 20168
18 20068
19 20067
20 20045

About Michaela Cerri

Michaela Cerri is a scholar working on Genetics, Pathology and Forensic Medicine, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (13 papers), Chronic Lymphocytic Leukemia Research (13 papers), Viral-associated cancers and disorders (10 papers), Glycosylation and Glycoproteins Research (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Eosinophilic Disorders and Syndromes (3 papers), Polyomavirus and related diseases (2 papers) and Advanced Breast Cancer Therapies (2 papers). The work is most often cited by research in Genetics (545 citations), Pathology and Forensic Medicine (603 citations), Oncology (461 citations), Immunology (236 citations) and Hematology (112 citations). Michaela Cerri has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Gianluca Gaïdano, Davide Rossi, Daniela Capello, Clara Deambrogi, Silvia Rasi, Riccardo Dalla‐Favera, Annunziata Gloghini, Antonino Carbone, Valeria Spina and Valter Gattei. Their work appears in journals such as Blood, British Journal of Haematology, Hematological Oncology, The Journal of Pathology and Leukemia Research.

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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