Roberto Hegg
- Oncology top 0.2%
- HER2/EGFR in Cancer Research 42
- Cancer Treatment and Pharmacology 24
- Cancer Immunotherapy and Biomarkers 5
- Cancer Research top 0.5%
- Breast Cancer Treatment Studies 25
- Cancer, Lipids, and Metabolism 5
- Pulmonary and Respiratory Medicine top 0.5%
- Advanced Breast Cancer Therapies 33
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- Monoclonal and Polyclonal Antibodies Research 11
- Immunology top 2%
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- Chronic Lymphocytic Leukemia Research 5
Roberto Hegg
81 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Oncology 6.6k
- Cancer Research 2.4k
- Pulmonary and Respiratory Medicine 2.3k
- Radiology, Nuclear Medicine and Imaging 1.6k
- Immunology 1.3k
Countries citing papers authored by Roberto Hegg
This map shows the geographic impact of Roberto Hegg'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 Roberto Hegg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Hegg more than expected).
Fields of papers citing papers by Roberto Hegg
This network shows the impact of papers produced by Roberto Hegg. 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 Roberto Hegg. The network helps show where Roberto Hegg may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Roberto Hegg, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2023 | 2 | |
| 3 | 2021 | 5 | |
| 4 | 2020 | 2 | |
| 5 | 2020 | 5 | |
| 6 | 2020 | 14 | |
| 7 | 2020 | 2 | |
| 8 | 2018 | 142 | |
| 9 | 2018 | 9 | |
| 10 | 2017 | 61 | |
| 11 | 2017 | 1 | |
| 12 | 2016 | 55 | |
| 13 | 2016 | 11 | |
| 14 | 2016 | 9 | |
| 15 | 2009 | 21 | |
| 16 | Alteraçöes funcionais benignas da mama | 2002 | 0 |
| 17 | Aspectos práticos na prevençäo e tratamento da osteoporose pós-menopausa | 2001 | 2 |
| 18 | Study on the efficacy and tolerability of fenticonazole in the treatment of vulvovaginal Candida albicans infection. | 2000 | 0 |
| 19 | Efeitos terapeuticos do cloridrato de buspirona na sindrome do climaterio | 1989 | 0 |
| 20 | Bacteriological aspects of mastitis | 1985 | 1 |
About Roberto Hegg
Roberto Hegg is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 87 papers that have together received 8.3k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (42 papers), Advanced Breast Cancer Therapies (33 papers), Breast Cancer Treatment Studies (25 papers), Cancer Treatment and Pharmacology (24 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Chronic Lymphocytic Leukemia Research (5 papers), Cancer, Lipids, and Metabolism (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Oncology (6.6k citations), Cancer Research (2.4k citations), Pulmonary and Respiratory Medicine (2.3k citations), Radiology, Nuclear Medicine and Imaging (1.6k citations) and Immunology (1.3k citations). Roberto Hegg has collaborated with scholars based in Brazil, United States and Spain. Frequent co-authors include Seock‐Ah Im, Hiroji Iwata, Carlos H. Barrios, Javier Cortés, Luciana Molinero, Jane Yuet Ching Hui, Hope S. Rugo, Peter Schmid, Gail S. Wright and Roel Funke. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Cancer Research, Breast Cancer Research and Treatment and European Journal of Cancer.
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.