Paola Omedè

7.4k citations
112 papers · 2.7k indexed · h-index 28

Paola Omedè

105 papers receiving 2.7k citations

Peers

Paola Omedè
Comparison fields: 5 of 93
  • Hematology 1.7k
  • Genetics 508
  • Oncology 1.0k
  • Immunology 553
  • Physiology 103
Replace Chiaki Nakaseko with:
Chiaki Nakaseko Japan
Maria Teresa Petrucci Italy
Niklas Zojer Austria
Evdoxia Hatjiharissi United States
Jatin J. Shah United States
Jean François Rossi France
Yusri Elsayed United States
Thomas A. Puchalski United States
Nicola Di Renzo Italy
Juan Luis Garcı́a Spain
Paola Omedè relative to Chiaki Nakaseko Japan Chiaki Nakaseko's profile →
Citations per field
00.5×3.6×
Chiaki Nakaseko · 1×
Citations per year

Countries citing papers authored by Paola Omedè

Since Specialization
Citations

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

Fields of papers citing papers by Paola Omedè

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20218
2 201828
3 20154
4 201447
5 201427
6 201417
7 201366
8 201158
9 201032
10
Report of the European Myeloma Network (EMN) workshop on multiparametric flow cytometry in multiple myeloma and related disorders
20070
11 2007320
12 200620
13 2006136
14
SERUM FREE LIGHT CHAINS (SFLC) ASSAY: A SUGGESTIVE NEW CRITERIA FOR EVALUATING DISEASE RESPONSE, PROGRESSION AND RELAPSE IN PLASMA-CELL DISORDERS (PD) AND A PROGNOSTIC FACTOR IN MONOCLONAL GAMMOPATHY OF UNDETERMINED SIGNIFICANCE (MGUS)
20061
15 20057
16 200322
17 19989
18 19963
19 19915
20 19872

About Paola Omedè

Paola Omedè is a scholar working on Hematology, Genetics and Oncology, having authored 112 papers that have together received 2.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (71 papers), Protein Degradation and Inhibitors (17 papers), Cancer Treatment and Pharmacology (16 papers), Hematopoietic Stem Cell Transplantation (15 papers), Chronic Lymphocytic Leukemia Research (14 papers), Glycosylation and Glycoproteins Research (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and HIV/AIDS drug development and treatment (7 papers). The work is most often cited by research in Hematology (1.7k citations), Genetics (508 citations) and Oncology (1.0k citations). Paola Omedè has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Mario Boccadoro, Alessandro Pileri, Antonio Palumbo, Corrado Tarella, Antonio Palumbo, Giovannino Ciccone, Massimo Massaia, Sara Bringhen, Silvia Deaglio and Paolo Corradini. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

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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