Michaela Cerri

3.4k citations
28 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 50
  • Genetics 515
  • Pathology and Forensic Medicine 563
  • Oncology 434
  • Immunology 226
  • Hematology 103
Replace Patrocinio Algara with:
Patrocinio Algara Spain
Sara Rattotti Italy
Gabriella Pichert Switzerland
Wolfram Jung Germany
Carsten Hirt Germany
Tomáš Papajík Czechia
S. Pileri Italy
Daisuke Ennishi Japan
Maurizio Rupolo Italy
Martin‐Leo Hansmann Germany
Michaela Cerri relative to Patrocinio Algara Spain Patrocinio Algara's profile →
Citations per field
00.5×
Patrocinio Algara · 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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009206
2 2009184
3 2008167
4 2005114
5 200267
6
Aberrant somatic hypermutation in transformation of follicular lymphoma and chronic lymphocytic leukemia to diffuse large B-cell lymphoma.
200658
7 200848
8 200338
9 200937
10 200930
11 200930
12 200526
13 200614
14 200613
15 200610
16 20189
17 20168
18 20067
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 28 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 (12 papers), Viral-associated cancers and disorders (10 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Eosinophilic Disorders and Syndromes (3 papers), Glycosylation and Glycoproteins Research (2 papers), Polyomavirus and related diseases (2 papers) and Advanced Breast Cancer Therapies (2 papers). The work is most often cited by research in Genetics (515 citations), Pathology and Forensic Medicine (563 citations), Oncology (434 citations), Immunology (226 citations) and Hematology (103 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, Antonino Carbone, Riccardo Dalla‐Favera, Valeria Spina, Annunziata Gloghini 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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