Laura Pavan

762 citations
19 papers · 456 · h-index 10

Impact in

    • Chronic Lymphocytic Leukemia Research
    • Multiple Myeloma Research and Treatments

Papers in

    • Protein Degradation and Inhibitors 2
    • Multiple Myeloma Research and Treatments 5
    • Acute Myeloid Leukemia Research 3

Laura Pavan

18 papers receiving 451 citations

Peers

Laura Pavan
Comparison fields: 5 of 67
  • Genetics 72
  • Hematology 54
  • Obstetrics and Gynecology 36
  • Immunology 85
  • Pathology and Forensic Medicine 66
Replace Anna Colpo with:
Anna Colpo Italy
Victor Ng United States
Cornelia Bachmann Germany
Jodie Ulaszek United States
Adeline Blandinières France
Colin Story Australia
Elham Roshandel Iran
Juliette Pascaud France
Maria De Bonis Italy
Yoshitaka Kinoshita Japan
Laura Pavan relative to Anna Colpo Italy Anna Colpo's profile →
Citations per field
00.5×
Anna Colpo · 1×
Citations per year

Countries citing papers authored by Laura Pavan

Since Specialization
Citations

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

Fields of papers citing papers by Laura Pavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201266
2 200963
3 200361
4 200955
5 201945
6 201344
7 201035
8 201932
9 201318
10 202211
11 20068
12 19837
13 20233
14 20212
15 20222
16 20122
17 20191
18 20151
19 20230

About Laura Pavan

Laura Pavan is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Pathology and Forensic Medicine, having authored 19 papers that have together received 456 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Peptidase Inhibition and Analysis (4 papers), Acute Myeloid Leukemia Research (3 papers), Orthopedic Infections and Treatments (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Protein Degradation and Inhibitors (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Genetics (72 citations), Hematology (54 citations), Obstetrics and Gynecology (36 citations), Immunology (85 citations) and Pathology and Forensic Medicine (66 citations). Laura Pavan has collaborated with scholars based in Italy, France and United Kingdom. Frequent co-authors include S Ghera, Renato Zambello, Gianpietro Semenzato, F.S. Santori, Ian D. Learmonth, Roberto Passariello, Carlina V. Albanese, Francesco Piazza, Sabrina Manni and Carmela Gurrieri. Their work appears in journals such as HemaSphere, Frontiers in Oncology, Clinical Cancer Research, Hip International and Acta Orthopaedica.

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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