Chiara Tarantelli

1.9k citations
75 papers · 945 · h-index 16

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

Chiara Tarantelli

70 papers receiving 931 citations

Peers

Chiara Tarantelli
Comparison fields: 5 of 71
  • Hematology 175
  • Genetics 94
  • Molecular Biology 617
  • Oncology 223
  • Pathology and Forensic Medicine 143
Replace Zhongzheng Lu with:
Zhongzheng Lu China
Kazuto Togitani Japan
Louise F. Momparler Canada
Yoko Inaguma Japan
Xiangqin Weng China
Fankai Meng China
Ying Lu China
Christina Economopoulou Greece
Thierry Louat Belgium
Chiara Tarantelli relative to Zhongzheng Lu China Zhongzheng Lu's profile →
Citations per field
00.5×12.4×
Zhongzheng Lu · 1×
Citations per year

Countries citing papers authored by Chiara Tarantelli

Since Specialization
Citations

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

Fields of papers citing papers by Chiara Tarantelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015219
2 202055
3 201152
4 201450
5 202236
6 201734
7 201130
8 202030
9 201929
10 201628
11 201623
12 202122
13 201821
14 202120
15 202220
16 201920
17 202114
18 201914
19 201814
20 201213

About Chiara Tarantelli

Chiara Tarantelli is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Genetics, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 75 papers that have together received 945 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (26 papers), Chronic Lymphocytic Leukemia Research (21 papers), Protein Degradation and Inhibitors (20 papers), CAR-T cell therapy research (15 papers), PI3K/AKT/mTOR signaling in cancer (9 papers), Cancer-related gene regulation (9 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and HER2/EGFR in Cancer Research (7 papers). The work is most often cited by research in Hematology (175 citations), Genetics (94 citations), Molecular Biology (617 citations), Oncology (223 citations) and Pathology and Forensic Medicine (143 citations). Chiara Tarantelli has collaborated with scholars based in Switzerland, Italy and United States. Frequent co-authors include Francesco Bertoni, Eugenio Gaudio, Anastasios Stathis, Luciano Cascione, Emanuele Zucca, Andrea Rinaldi, Filippo Spriano, Elena Bernasconi, Ivo Kwee and Afua A. Mensah. Their work appears in journals such as Blood, Cancer Research, Molecular Cancer Therapeutics, British Journal of Haematology and Hematological 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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