Manuela Arcamone

23 papers receiving 349 citations

Peers

Manuela Arcamone
Comparison fields: 5 of 40
  • Pathology and Forensic Medicine 283
  • Genetics 108
  • Oncology 191
  • Neurology 88
  • Radiology, Nuclear Medicine and Imaging 47
Replace Jordina Rovira with:
Jordina Rovira Spain
Sarah C. Rutherford United States
Catherine Chassagne‐Clément France
Sabela Bobillo Spain
Anna Vanazzi Italy
M. van ‘t Veer Netherlands
M. Dreyling Germany
Manfred Welslau Germany
Hanne Kuitunen Finland
Gaetana Capobianco Italy
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Citations per year

Countries citing papers authored by Manuela Arcamone

Since Specialization
Citations

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

Fields of papers citing papers by Manuela Arcamone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Manuela Arcamone, 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 Manuela Arcamone Line = papers co-authored together Manuela Arcamone 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 201279
2 200958
3 201157
4 201244
5 201141
6 201813
7 201011
8 20099
9 20156
10 20206
11 20105
12 20155
13 20095
14 20114
15 20122
16 20142
17 20092
18 20152
19 20082
20 20241

About Manuela Arcamone

Manuela Arcamone is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 357 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (17 papers), Chronic Lymphocytic Leukemia Research (8 papers), Cutaneous lymphoproliferative disorders research (3 papers), Lung Cancer Treatments and Mutations (3 papers), Acute Lymphoblastic Leukemia research (2 papers), CAR-T cell therapy research (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Radiopharmaceutical Chemistry and Applications (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (283 citations), Genetics (108 citations), Oncology (191 citations), Neurology (88 citations) and Radiology, Nuclear Medicine and Imaging (47 citations). Manuela Arcamone has collaborated with scholars based in Italy, Germany and Sweden. Frequent co-authors include Antonio Pinto, Ferdinando Frigeri, Gaetano Corazzelli, Gaetana Capobianco, Cristina Becchimanzi, Filippo Russo, Rosaria De Filippi, Gianpaolo Marcacci, Emanuela Morelli and Annarosaria De Chiara. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, European Journal Of Haematology and European Journal of Nuclear Medicine and Molecular Imaging.

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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