Mario A. Pisarev
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Genetics
- Radiation top 5%
- Co-authors
- Guillermo J. JuvenalMaría Alejandra DagrosaL. KrawiecLeslie J. DeGrootDiana L. Kleiman de PisarevR. L. CabriniMarina PeronaGregorio D. Chazenbalk
- Topics
- Thyroid Disorders and Treatments (45 papers)Thyroid Cancer Diagnosis and Treatment (19 papers)Boron Compounds in Chemistry (18 papers)
- Journals
- Journal of Clinical InvestigationThe Journal of Clinical Endocrinology & MetabolismEndocrinology
- Partner nations
- ArgentinaUnited StatesBelgium
In The Last Decade
Mario A. Pisarev
90 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Endocrinology, Diabetes and Metabolism 636
- Molecular Biology 447
- Radiology, Nuclear Medicine and Imaging 291
- Genetics 120
- Radiation 110
Countries citing papers authored by Mario A. Pisarev
This map shows the geographic impact of Mario A. Pisarev'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 Mario A. Pisarev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario A. Pisarev more than expected).
Fields of papers citing papers by Mario A. Pisarev
This network shows the impact of papers produced by Mario A. Pisarev. 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 Mario A. Pisarev. The network helps show where Mario A. Pisarev may publish in the future.
Co-authorship network of co-authors of Mario A. Pisarev
This figure shows the co-authorship network connecting the top 25 collaborators of Mario A. Pisarev. A scholar is included among the top collaborators of Mario A. Pisarev 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 Mario A. Pisarev. Mario A. Pisarev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 3 | |
| 3 | 11 | |
| 4 | 10 | |
| 5 | 16 | |
| 6 | 22 | |
| 7 | 21 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 5 | |
| 12 | 22 | |
| 13 | 6 | |
| 14 | 142 | |
| 15 | 8 | |
| 16 | 25 | |
| 17 | 18 | |
| 18 | 12 | |
| 19 | 10 | |
| 20 | 14 |
About Mario A. Pisarev
Mario A. Pisarev is a scholar working on Endocrinology, Diabetes and Metabolism, Radiation and Radiology, Nuclear Medicine and Imaging, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (45 papers), Thyroid Cancer Diagnosis and Treatment (19 papers) and Boron Compounds in Chemistry (18 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (636 citations), Radiation (110 citations) and Radiology, Nuclear Medicine and Imaging (291 citations). Mario A. Pisarev has collaborated with scholars based in Argentina, United States and Belgium. Frequent co-authors include Guillermo J. Juvenal, María Alejandra Dagrosa, L. Krawiec, Leslie J. DeGroot, Diana L. Kleiman de Pisarev, R. L. Cabrini, Marina Perona, Gregorio D. Chazenbalk, Viviana Varela and Héctor M. Targovnik. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.
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.