Marsida Teliti
- Endocrinology, Diabetes and Metabolism top 10%
- Health Information Management top 1%
- Artificial Intelligence top 10%
- Surgery
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Pasquale De CataGiulia CogniLucia SacchiArianna DagliatiRiccardo BellazziLuca ChiovatoValentina TibolloSimone Marini
- Topics
- Thyroid Cancer Diagnosis and Treatment (9 papers)Thyroid and Parathyroid Surgery (6 papers)Thyroid Disorders and Treatments (5 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismEnvironmental PollutionEnvironment International
- Partner nations
- ItalySwitzerlandUnited Kingdom
In The Last Decade
Marsida Teliti
24 papers receiving 484 citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Endocrinology, Diabetes and Metabolism 188
- Health Information Management 173
- Artificial Intelligence 139
- Surgery 67
- Radiology, Nuclear Medicine and Imaging 47
Countries citing papers authored by Marsida Teliti
This map shows the geographic impact of Marsida Teliti'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 Marsida Teliti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marsida Teliti more than expected).
Fields of papers citing papers by Marsida Teliti
This network shows the impact of papers produced by Marsida Teliti. 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 Marsida Teliti. The network helps show where Marsida Teliti may publish in the future.
Co-authorship network of co-authors of Marsida Teliti
This figure shows the co-authorship network connecting the top 25 collaborators of Marsida Teliti. A scholar is included among the top collaborators of Marsida Teliti 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 Marsida Teliti. Marsida Teliti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 9 | |
| 15 | 34 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 30 | |
| 19 | 9 | |
| 20 | Hierarchical Bayesian Logistic Regression to forecast metabolic control in type 2 DM patients. | 7 |
About Marsida Teliti
Marsida Teliti is a scholar working on Endocrinology, Diabetes and Metabolism, Environmental Chemistry and Health, Toxicology and Mutagenesis, having authored 30 papers that have together received 495 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (9 papers), Thyroid and Parathyroid Surgery (6 papers) and Thyroid Disorders and Treatments (5 papers). The work is most often cited by research in Health Information Management (173 citations), Health Informatics (24 citations) and Endocrinology, Diabetes and Metabolism (188 citations). Marsida Teliti has collaborated with scholars based in Italy, Switzerland and United Kingdom. Frequent co-authors include Pasquale De Cata, Giulia Cogni, Lucia Sacchi, Arianna Dagliati, Riccardo Bellazzi, Luca Chiovato, Valentina Tibollo, Simone Marini, Mario Rotondi and Laura Croce. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Environmental Pollution and Environment International.
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.