Michele Bartoletti

1.4k citations
54 papers · 575 · h-index 14

Impact in

Papers in

    • PARP inhibition in cancer therapy 9
    • Cancer Immunotherapy and Biomarkers 7
    • Cancer Treatment and Pharmacology 5
    • Ovarian cancer diagnosis and treatment 16

Michele Bartoletti

49 papers receiving 568 citations

Peers

Michele Bartoletti
Comparison fields: 5 of 94
  • Oncology 273
  • Reproductive Medicine 80
  • Otorhinolaryngology 40
  • Cancer Research 111
  • Pulmonary and Respiratory Medicine 149
Replace Y. Nakao with:
Y. Nakao Japan
Chunyan Li China
Yan-Yan Lu China
Haoran Li China
Neeraj Rastogi India
Kyungmi Yang South Korea
Dava J. Garcia United States
Tianyun Qiao China
Sufeng Chen China
Michele Bartoletti relative to Y. Nakao Japan Y. Nakao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michele Bartoletti

Since Specialization
Citations

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

Fields of papers citing papers by Michele Bartoletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201989
2 201948
3 201942
4 202127
5 202024
6 201821
7 202321
8 202121
9 202418
10 202018
11 202318
12 202218
13 202116
14 202115
15 201813
16 202413
17 202312
18 202112
19 202311
20 202410

About Michele Bartoletti

Michele Bartoletti is a scholar working on Oncology, Reproductive Medicine, Cancer Research, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 54 papers that have together received 575 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (16 papers), PARP inhibition in cancer therapy (9 papers), Endometrial and Cervical Cancer Treatments (8 papers), Cancer Immunotherapy and Biomarkers (7 papers), Cancer Genomics and Diagnostics (6 papers), Breast Cancer Treatment Studies (6 papers), Cancer Treatment and Pharmacology (5 papers) and Advanced Breast Cancer Therapies (5 papers). The work is most often cited by research in Oncology (273 citations), Reproductive Medicine (80 citations), Otorhinolaryngology (40 citations), Cancer Research (111 citations) and Pulmonary and Respiratory Medicine (149 citations). Michele Bartoletti has collaborated with scholars based in Italy, United States and South Korea. Frequent co-authors include Fabio Puglisi, Lorenzo Gerratana, Giacomo Pelizzari, Debora Basile, Vincenzo Canzonieri, C. Lisanti, Davide Lombardi, Paola Di Nardo, Flavio Rizzolio and Silvio Ken Garattini. Their work appears in journals such as Journal of Clinical Oncology, Cancer Treatment Reviews, Cancers, International Journal of Gynecological Cancer and Annals of 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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