Lisa Nardelli

1.0k citations
12 papers · 230 · h-index 8

Impact in

Papers in

    • Acute Myeloid Leukemia Research 5
    • Multiple Myeloma Research and Treatments 4
    • Protein Degradation and Inhibitors 2
    • Hedgehog Signaling Pathway Studies 2

Lisa Nardelli

11 papers receiving 226 citations

Peers

Lisa Nardelli
Comparison fields: 5 of 35
  • Hematology 183
  • Biological Psychiatry 15
  • Oncology 114
  • Molecular Biology 160
  • Genetics 23
Replace Grzegorz Charliński with:
Grzegorz Charliński Poland
Sara Bringhen Italy
Olimpia Finizio Italy
Tobias Kampfenkel United States
Despoina Mparmparoussi Greece
Rafael Martínez-Martinez Mexico
José-María Arguiñano Spain
Sibasish Dolai Australia
Diamond Zuchlinski United States
Yvonne J.M Oussoren-Brockhoff Netherlands
Lisa Nardelli relative to Grzegorz Charliński Poland Grzegorz Charliński's profile →
Citations per field
00.5×5.7×
Grzegorz Charliński · 1×
Citations per year

Countries citing papers authored by Lisa Nardelli

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Nardelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2016116
2 201830
3 201924
4 201612
5 201410
6 20128
7 20177
8 20147
9 20137
10 20166
11 20233
12 20240

About Lisa Nardelli

Lisa Nardelli is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Biological Psychiatry, having authored 12 papers that have together received 230 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Multiple Myeloma Research and Treatments (4 papers), Cancer Treatment and Pharmacology (3 papers), Protein Degradation and Inhibitors (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Tryptophan and brain disorders (2 papers) and Oral and gingival health research (1 paper). The work is most often cited by research in Hematology (183 citations), Biological Psychiatry (15 citations), Oncology (114 citations), Molecular Biology (160 citations) and Genetics (23 citations). Lisa Nardelli has collaborated with scholars based in United States. Frequent co-authors include Sundar Jagannath, Daniel M. Sullivan, Rachid Baz, Xiuhua Zhao, Melissa Alsina, Kenneth H. Shain, Anuj Mahindra, Hui‐Yi Lin, K. H. Vincent Lau and Thomas G. Martin. Their work appears in journals such as Blood, American Journal of Hematology, Leukemia Research and Clinical Lymphoma Myeloma & Leukemia.

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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