Roberto E. Garola
Impact in
- Genetics top 5%
- Estrogen and related hormone effects
-
- HER2/EGFR in Cancer Research
Papers in
- Co-authors
- William McGuire (6 shared papers)Gary C. Chamness (3 shared papers)David T. Zava (2 shared papers)Kathryn B. Horwitz (2 shared papers)Bernard L. Powell (1 shared paper)Christelle Lévy (1 shared paper)José Loureiro-Amigo (1 shared paper)C. Matthew Peterson (1 shared paper)
- Journals
- Steroids (2 papers)Metabolism (1 paper)Oncology (1 paper)PubMed (5 papers)European Journal of Cancer (1965) (1 paper)
- Partner nations
- United StatesArgentinaSpain
In The Last Decade
Roberto E. Garola
12 papers receiving 431 citations
Peers
Comparison fields: 5 of 66
- Genetics 334
- Oncology 131
- Cancer Research 71
- Reproductive Medicine 32
- Endocrinology, Diabetes and Metabolism 55
Countries citing papers authored by Roberto E. Garola
This map shows the geographic impact of Roberto E. Garola'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 E. Garola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto E. Garola more than expected).
Fields of papers citing papers by Roberto E. Garola
This network shows the impact of papers produced by Roberto E. Garola. 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 E. Garola. The network helps show where Roberto E. Garola may publish in the future.
Co-authors
The 16 scholars most cited alongside Roberto E. Garola, 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 | 1978 | 126 | |
| 2 | An improved assay for nuclear estrogen receptor in experimental and human breast cancer. | 1977 | 125 |
| 3 | Measurement of progesterone receptor in human breast cancer biopsies. | 1979 | 67 |
| 4 | A hydroxylapatite micromethod for measuring estrogen receptor in human breast cancer. | 1978 | 49 |
| 5 | 1974 | 45 | |
| 6 | Estrogen receptor and proteolytic activity in human breast tumor nuclei. | 1977 | 43 |
| 7 | 1989 | 13 | |
| 8 | 2005 | 13 | |
| 9 | 1978 | 11 | |
| 10 | Aromatase and aromatase inhibitors: from enzymology to selective chemotherapy. | 1988 | 4 |
| 11 | 1987 | 3 | |
| 12 | 2009 | 2 |
About Roberto E. Garola
Roberto E. Garola is a scholar working on Genetics, Oncology, Molecular Biology, Reproductive Medicine and Organic Chemistry, having authored 12 papers that have together received 501 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), HER2/EGFR in Cancer Research (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Food Quality and Safety Studies (1 paper), Organ and Tissue Transplantation Research (1 paper), Receptor Mechanisms and Signaling (1 paper), Advanced Biosensing Techniques and Applications (1 paper) and Monoclonal and Polyclonal Antibodies Research (1 paper). The work is most often cited by research in Genetics (334 citations), Oncology (131 citations), Cancer Research (71 citations), Reproductive Medicine (32 citations) and Endocrinology, Diabetes and Metabolism (55 citations). Roberto E. Garola has collaborated with scholars based in United States, Argentina and Spain. Frequent co-authors include William McGuire, Gary C. Chamness, David T. Zava, Kathryn B. Horwitz, Bernard L. Powell, Christelle Lévy, José Loureiro-Amigo, C. Matthew Peterson, F. J. Pardo-Mindán and Luis Salinas‐Madrigal. Their work appears in journals such as Steroids, Metabolism, Oncology, PubMed and European Journal of Cancer (1965).
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.