Laura Pavan

774 citations
23 papers · 480 · h-index 11

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 2

Laura Pavan

19 papers receiving 472 citations

Peers

Laura Pavan
Comparison fields: 5 of 65
  • Genetics 67
  • Hematology 52
  • Obstetrics and Gynecology 33
  • Immunology 84
  • Surgery 145
Replace Jana Procházková with:
Jana Procházková Czechia
J.-P. Schaal France
Susana Esteves Portugal
Alessandro Perillo Italy
Nader Tajik Iran
Mohib Morcos Canada
Guliang Xia United States
David F. Silver United States
Jennifer Reed United States
Lothar Kanz Germany
Laura Pavan relative to Jana Procházková Czechia Jana Procházková's profile →
Citations per field
00.5×5.2×
Jana Procházková · 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

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201268
2 200964
3 200363
4 200956
5 201947
6 201346
7 201037
8 201936
9 201318
10 202212
11 198311
12 20068
13 20233
14 20223
15 20212
16 20122
17 20222
18 20151
19 20191
20 20230

About Laura Pavan

Laura Pavan is a scholar working on Molecular Biology, Hematology, Oncology, Immunology and Surgery, having authored 23 papers that have together received 480 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Orthopedic Infections and Treatments (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Peptidase Inhibition and Analysis (3 papers), Orthopaedic implants and arthroplasty (3 papers), Protein Degradation and Inhibitors (2 papers), Total Knee Arthroplasty Outcomes (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Genetics (67 citations), Hematology (52 citations), Obstetrics and Gynecology (33 citations), Immunology (84 citations) and Surgery (145 citations). Laura Pavan has collaborated with scholars based in Italy, China and France. Frequent co-authors include S Ghera, Renato Zambello, Gianpietro Semenzato, Ian D. Learmonth, Carlina V. Albanese, F.S. Santori, Roberto Passariello, Sabrina Manni, Laura Quotti Tubi and Fausto Adami. Their work appears in journals such as HemaSphere, Blood, Frontiers in Oncology, Clinical Cancer Research and Journal of Hematology & Oncology.

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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