E Brun
Impact in
- Reproductive Medicine top 2%
- Ovarian function and disorders
- Ovarian cancer diagnosis and treatment
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- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
- Hormonal and reproductive studies
- Growth Hormone and Insulin-like Growth Factors
Papers in
-
- Hormonal and reproductive studies 1
- Diabetes, Cardiovascular Risks, and Lipoproteins 1
- Hormonal Regulation and Hypertension 1
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- Nuclear Receptors and Signaling 1
- Co-authors
- Michele Muggeo (5 shared papers)Paolo Moghetti (3 shared papers)Giuseppe Verlato (3 shared papers)Giacomo Zoppini (3 shared papers)Enzo Bonora (2 shared papers)Flavia Tosi (2 shared papers)Roberto Castello (2 shared papers)Carlo Negri (2 shared papers)
In The Last Decade
E Brun
6 papers receiving 759 citations
Peers
Comparison fields: 5 of 66
- Reproductive Medicine 264
- Endocrinology, Diabetes and Metabolism 328
- Public Health, Environmental and Occupational Health 138
- Cardiology and Cardiovascular Medicine 69
- Physiology 71
Countries citing papers authored by E Brun
This map shows the geographic impact of E Brun'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 E Brun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E Brun more than expected).
Fields of papers citing papers by E Brun
This network shows the impact of papers produced by E Brun. 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 E Brun. The network helps show where E Brun may publish in the future.
Co-authors
The 25 scholars most cited alongside E Brun, 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 | 2000 | 220 | |
| 2 | 1996 | 206 | |
| 3 | 1996 | 151 | |
| 4 | 2000 | 110 | |
| 5 | 2003 | 64 | |
| 6 | 1995 | 39 |
About E Brun
E Brun is a scholar working on Endocrinology, Diabetes and Metabolism, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health, Physiology and Genetics, having authored 6 papers that have together received 790 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (1 paper), Genetics and Neurodevelopmental Disorders (1 paper), Nuclear Receptors and Signaling (1 paper), Ovarian function and disorders (1 paper), Hormonal and reproductive studies (1 paper), Reproductive Biology and Fertility (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Hormonal Regulation and Hypertension (1 paper). The work is most often cited by research in Reproductive Medicine (264 citations), Endocrinology, Diabetes and Metabolism (328 citations), Public Health, Environmental and Occupational Health (138 citations), Cardiology and Cardiovascular Medicine (69 citations) and Physiology (71 citations). E Brun has collaborated with scholars based in Italy and France. Frequent co-authors include Michele Muggeo, Paolo Moghetti, Giuseppe Verlato, Giacomo Zoppini, Enzo Bonora, Flavia Tosi, Roberto Castello, Carlo Negri, Riccardo C. Bonadonna and Lino Furlani. Their work appears in journals such as Diabetes Care, The Journal of Clinical Endocrinology & Metabolism, International Journal of Obesity and Neurology.
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.