Edoardo Pescarmona

6.7k citations
136 papers · 3.7k · h-index 33

Impact in

Papers in

Edoardo Pescarmona

134 papers receiving 3.6k citations

Peers

Edoardo Pescarmona
Comparison fields: 5 of 105
  • Pathology and Forensic Medicine 1.5k
  • Genetics 727
  • Neurology 1.0k
  • Oncology 1.2k
  • Otorhinolaryngology 106
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John K. C. Chan China
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Tadaaki Eimoto Japan
Stefano Ascani Italy
Bruce Patterson Canada
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Citations per field
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Citations per year

Countries citing papers authored by Edoardo Pescarmona

Since Specialization
Citations

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

Fields of papers citing papers by Edoardo Pescarmona

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001272
2 1999156
3 2001134
4 1999133
5 2003120
6 1990104
7 2003102
8
Regulation of TCL1 expression in B- and T-cell lymphomas and reactive lymphoid tissues.
2000100
9 199795
10
Monoclonal antibodies PG-B6a and PG-B6p recognize, respectively, a highly conserved and a formol-resistant epitope on the human BCL-6 protein amino-terminal region.
199694
11 199692
12
A specific monoclonal antibody (PG-B6) detects expression of the BCL-6 protein in germinal center B cells.
199587
13 200483
14 199079
15 201368
16 200066
17 199963
18 200261
19 201561
20 200359

About Edoardo Pescarmona

Edoardo Pescarmona is a scholar working on Pathology and Forensic Medicine, Neurology, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 136 papers that have together received 3.7k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (40 papers), Myasthenia Gravis and Thymoma (28 papers), Pituitary Gland Disorders and Treatments (17 papers), Chronic Lymphocytic Leukemia Research (16 papers), Viral-associated cancers and disorders (14 papers), CNS Lymphoma Diagnosis and Treatment (10 papers), Sarcoma Diagnosis and Treatment (10 papers) and T-cell and Retrovirus Studies (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.5k citations), Genetics (727 citations), Neurology (1.0k citations), Oncology (1.2k citations) and Otorhinolaryngology (106 citations). Edoardo Pescarmona has collaborated with scholars based in Italy, Malaysia and United States. Frequent co-authors include Franco Mandelli, Carlo D. Baroni, Erino Angelo Rendina, Federico Venuta, Stefano Pileri, Costante Ricci, Alessandro Pulsoni, Luigi Ruco, Gabriel Anghel and Paolo Falcucci. Their work appears in journals such as Histopathology, The Journal of Pathology, The Annals of Thoracic Surgery, Blood and Journal of Experimental & Clinical Cancer 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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