Eugenia Resmini
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery
- Behavioral Neuroscience top 5%
- Genetics top 10%
- Physiology
- Co-authors
- Susan M. WebbAlicia SantosIris CrespoElena ValassiBeatriz Gómez‐AnsónYolanda Vives‐GilabertMaría José BarahonaPatrícia da Silva Pires
- Topics
- Pituitary Gland Disorders and Treatments (35 papers)Adrenal Hormones and Disorders (18 papers)Growth Hormone and Insulin-like Growth Factors (15 papers)
In The Last Decade
Eugenia Resmini
43 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 84
- Endocrinology, Diabetes and Metabolism 944
- Surgery 258
- Behavioral Neuroscience 128
- Genetics 95
- Physiology 93
Countries citing papers authored by Eugenia Resmini
This map shows the geographic impact of Eugenia Resmini'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 Eugenia Resmini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eugenia Resmini more than expected).
Fields of papers citing papers by Eugenia Resmini
This network shows the impact of papers produced by Eugenia Resmini. 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 Eugenia Resmini. The network helps show where Eugenia Resmini may publish in the future.
Co-authorship network of co-authors of Eugenia Resmini
This figure shows the co-authorship network connecting the top 25 collaborators of Eugenia Resmini. A scholar is included among the top collaborators of Eugenia Resmini based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eugenia Resmini. Eugenia Resmini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 13 | |
| 5 | 21 | |
| 6 | 24 | |
| 7 | 43 | |
| 8 | 34 | |
| 9 | 18 | |
| 10 | 21 | |
| 11 | 39 | |
| 12 | 22 | |
| 13 | 17 | |
| 14 | 52 | |
| 15 | 76 | |
| 16 | 19 | |
| 17 | 133 | |
| 18 | Factores de riesgo cardiovascular entre pacientes con síndrome de Cushing, curados y no curados con respecto a un grupo control | 1 |
| 19 | 1 | |
| 20 | 20 |
About Eugenia Resmini
Eugenia Resmini is a scholar working on Endocrinology, Diabetes and Metabolism, Aging and Behavioral Neuroscience, having authored 43 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (35 papers), Adrenal Hormones and Disorders (18 papers) and Growth Hormone and Insulin-like Growth Factors (15 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (944 citations), Behavioral Neuroscience (128 citations) and Aging (21 citations). Eugenia Resmini has collaborated with scholars based in Spain, Italy and France. Frequent co-authors include Susan M. Webb, Alicia Santos, Iris Crespo, Elena Valassi, Beatriz Gómez‐Ansón, Yolanda Vives‐Gilabert, María José Barahona, Patrícia da Silva Pires, Maria-Antonia Martínez-Momblán and Francesco Minuto. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Bone and Mineral Research and Drugs.
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.