Felipe Batalini
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- PARP inhibition in cancer therapy
- Cancer Immunotherapy and Biomarkers
- Cancer-related Molecular Pathways
Papers in
- Oncology 18
- PARP inhibition in cancer therapy 8
- HER2/EGFR in Cancer Research 3
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- DNA Repair Mechanisms 6
- Co-authors
- Lida A. Mina (6 shared papers)Fábio Ynoe de Moraes (2 shared papers)Nadine Tung (6 shared papers)Jacqueline Justino Nabhen (1 shared paper)Judy E. Garber (3 shared papers)Gerburg M. Wulf (6 shared papers)Brenda Ernst (5 shared papers)Eric P. Winer (3 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Cancer Research (3 papers)JCO Precision Oncology (3 papers)Clinical Breast Cancer (2 papers)Cancer Treatment Reviews (2 papers)
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Felipe Batalini
34 papers receiving 441 citations
Peers
Comparison fields: 5 of 75
- Health Informatics 46
- Oncology 174
- Cancer Research 60
- Pulmonary and Respiratory Medicine 99
- Genetics 26
Countries citing papers authored by Felipe Batalini
This map shows the geographic impact of Felipe Batalini'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 Felipe Batalini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felipe Batalini more than expected).
Fields of papers citing papers by Felipe Batalini
This network shows the impact of papers produced by Felipe Batalini. 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 Felipe Batalini. The network helps show where Felipe Batalini may publish in the future.
Co-authors
The 25 scholars most cited alongside Felipe Batalini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 63 | |
| 2 | 2019 | 52 | |
| 3 | 2023 | 38 | |
| 4 | 2022 | 36 | |
| 5 | 2020 | 35 | |
| 6 | 2019 | 31 | |
| 7 | 2022 | 31 | |
| 8 | 2017 | 25 | |
| 9 | 2022 | 24 | |
| 10 | 2020 | 15 | |
| 11 | 2024 | 12 | |
| 12 | 2023 | 10 | |
| 13 | 2023 | 9 | |
| 14 | 2023 | 9 | |
| 15 | 2024 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2020 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 5 | |
| 20 | 2024 | 5 |
About Felipe Batalini
Felipe Batalini is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Genetics, having authored 41 papers that have together received 445 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (8 papers), DNA Repair Mechanisms (6 papers), Cancer Genomics and Diagnostics (6 papers), BRCA gene mutations in cancer (6 papers), Advanced Breast Cancer Therapies (4 papers), HER2/EGFR in Cancer Research (3 papers), AI in cancer detection (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Health Informatics (46 citations), Oncology (174 citations), Cancer Research (60 citations), Pulmonary and Respiratory Medicine (99 citations) and Genetics (26 citations). Felipe Batalini has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Lida A. Mina, Fábio Ynoe de Moraes, Nadine Tung, Jacqueline Justino Nabhen, Judy E. Garber, Gerburg M. Wulf, Brenda Ernst, Eric P. Winer, Jeffrey N. Weitzel and Alison Robertson. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, JCO Precision Oncology, Clinical Breast Cancer and Cancer Treatment Reviews.
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.