Lucia Manzoli

6.3k citations
174 papers · 5.0k indexed · h-index 38
    • Cellular transport and secretion 19
  • Hematology top 1%
    • Acute Myeloid Leukemia Research 31
    • Protein Kinase Regulation and GTPase Signaling 37
    • Nuclear Structure and Function 23
    • PI3K/AKT/mTOR signaling in cancer 15
    • Ubiquitin and proteasome pathways 15
    • Cell death mechanisms and regulation 14
    • RNA Research and Splicing 11
  • Genetics top 2%

Lucia Manzoli

167 papers receiving 5.0k citations

Peers

Lucia Manzoli
Comparison fields: 5 of 135
  • Cell Biology 985
  • Hematology 635
  • Molecular Biology 3.6k
  • Genetics 386
  • Cancer Research 399
Replace Fei Liu with:
Fei Liu China
Masahiro Narimatsu Japan
Mirko H. H. Schmidt Germany
Hideki Tanzawa Japan
Jörg W. Bartsch Germany
Jolene J. Windle United States
Edgard Graner Brazil
Dirk Geerts Netherlands
László G. Kömüves United States
Lucia Manzoli relative to Fei Liu China Fei Liu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Lucia Manzoli

Since Specialization
Citations

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

Fields of papers citing papers by Lucia Manzoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20241
3 20244
4 20242
5 20247
6 20249
7 20241
8 20233
9 20231
10 202317
11 202214
12 20225
13 202125
14 202023
15 201932
16 201820
17 201732
18 201635
19 201356
20 201322

About Lucia Manzoli

Lucia Manzoli is a scholar working on Hematology, General Dentistry and Cell Biology, having authored 174 papers that have together received 5.0k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (37 papers), Acute Myeloid Leukemia Research (31 papers), Nuclear Structure and Function (23 papers), Cellular transport and secretion (19 papers), PI3K/AKT/mTOR signaling in cancer (15 papers), Ubiquitin and proteasome pathways (15 papers), Cell death mechanisms and regulation (14 papers) and RNA Research and Splicing (11 papers). The work is most often cited by research in Cell Biology (985 citations), Hematology (635 citations) and Molecular Biology (3.6k citations). Lucia Manzoli has collaborated with scholars based in Italy, United States and South Korea. Frequent co-authors include Lucio Cocco, Alberto M. Martelli, Anna Maria Billi, Irene Faenza, Matilde Y. Follo, James A. McCubrey, Luca M. Neri, Giulia Ramazzotti, Pann‐Ghill Suh and Camilla Evangelisti. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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