Paola Storti

2.1k citations
54 papers · 961 indexed · h-index 17
  • Hematology top 2%
    • Multiple Myeloma Research and Treatments 44
  • Oncology top 5%
    • Peptidase Inhibition and Analysis 20
    • Bone health and treatments 9
    • Chemokine receptors and signaling 7
  • Immunology top 10%
    • Immunotherapy and Immune Responses 7
    • Cancer, Hypoxia, and Metabolism 5
    • Protein Degradation and Inhibitors 8
    • Ubiquitin and proteasome pathways 5

Paola Storti

47 papers receiving 949 citations

Peers

Paola Storti
Comparison fields: 5 of 67
  • Hematology 515
  • Oncology 546
  • Immunology 233
  • Cancer Research 119
  • Molecular Biology 460
Replace Benedetta Dalla Palma with:
Benedetta Dalla Palma Italy
Matthew Holt United States
Jeroen G. te Marvelde Netherlands
August H. Westra Netherlands
Hyung‐Gyoon Kim United States
Jacqueline E. Noll Australia
Junyuan Qi China
Po Yee Mak United States
Myriam Foglietta Italy
Paola Storti relative to Benedetta Dalla Palma Italy Benedetta Dalla Palma's profile →
Citations per field
00.5×1.5×2.4×
Benedetta Dalla Palma · 1×
Citations per year

Countries citing papers authored by Paola Storti

Since Specialization
Citations

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

Fields of papers citing papers by Paola Storti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20253
4 20241
5 20230
6 20230
7 20225
8 202115
9 202116
10 202014
11 201924
12 201611
13 201389
14 201265
15 201242
16 201188
17 201110
18 201038
19 20105
20 200956

About Paola Storti

Paola Storti is a scholar working on Hematology, Oncology, Immunology and Allergy, Immunology and Physiology, having authored 54 papers that have together received 961 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (44 papers), Peptidase Inhibition and Analysis (20 papers), Bone health and treatments (9 papers), Protein Degradation and Inhibitors (8 papers), Chemokine receptors and signaling (7 papers), Immunotherapy and Immune Responses (7 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Ubiquitin and proteasome pathways (5 papers). The work is most often cited by research in Hematology (515 citations), Oncology (546 citations), Immunology (233 citations), Cancer Research (119 citations) and Molecular Biology (460 citations). Paola Storti has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Nicola Giuliani, Marina Bolzoni, Sabrina Bonomini, Benedetta Dalla Palma, Denise Toscani, Valentina Marchica, Antonino Neri, Luca Agnelli, Mirca Lazzaretti and Simona Colla. Their work appears in journals such as Blood, Leukemia, Frontiers in Immunology, Cancers and Experimental Hematology.

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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