Martina Pigazzi

2.7k citations
71 papers · 1.5k indexed · h-index 22

Martina Pigazzi

64 papers receiving 1.5k citations

Peers

Martina Pigazzi
Comparison fields: 5 of 86
  • Hematology 645
  • Cancer Research 466
  • Molecular Biology 998
  • Genetics 102
  • Public Health, Environmental and Occupational Health 259
Replace Björn Hackanson with:
Björn Hackanson Germany
Ivan de Kouchkovsky United States
Hind Medyouf Germany
Allison Mayle United States
Frédéric Barabé Canada
Francis Mussai United Kingdom
Sebastien A. Burel United States
Lorena Lôbo de Figueiredo-Pontes Brazil
Shaoyan Hu China
Kevin Rouault‐Pierre United Kingdom
Martina Pigazzi relative to Björn Hackanson Germany Björn Hackanson's profile →
Citations per field
00.5×3.7×
Björn Hackanson · 1×
Citations per year

Countries citing papers authored by Martina Pigazzi

Since Specialization
Citations

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

Fields of papers citing papers by Martina Pigazzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20240
4 20240
5 20231
6 20231
7 20230
8 20231
9 20224
10 202211
11 202017
12 202025
13 20173
14 201627
15 201579
16 201412
17 20130
18 201236
19 201137
20 20098

About Martina Pigazzi

Martina Pigazzi is a scholar working on Hematology, Cancer Research, Molecular Biology, Public Health, Environmental and Occupational Health and Oncology, having authored 71 papers that have together received 1.5k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (45 papers), Protein Degradation and Inhibitors (16 papers), Acute Lymphoblastic Leukemia research (16 papers), Hematopoietic Stem Cell Transplantation (8 papers), Chronic Myeloid Leukemia Treatments (7 papers), Cancer Genomics and Diagnostics (6 papers), RNA modifications and cancer (6 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Hematology (645 citations), Cancer Research (466 citations), Molecular Biology (998 citations), Genetics (102 citations) and Public Health, Environmental and Occupational Health (259 citations). Martina Pigazzi has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Giuseppe Basso, Elena Manara, Franco Locatelli, Riccardo Masetti, Emma Baron, Claudia Tregnago, Andrea Pession, Dinesh S. Rao, Thilini R. Fernando and Sanja Aveic. Their work appears in journals such as Blood, Leukemia, Oncotarget, British Journal of Haematology and Haematologica.

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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