Anca M. Avram
- Endocrinology, Diabetes and Metabolism top 1%
- Radiology, Nuclear Medicine and Imaging top 2%
- Surgery top 5%
- Epidemiology top 10%
- Cancer Research top 10%
- Co-authors
- Ka Kit WongMilton D. GrossKirk A. FreyYuni K. DewarajaJames C. SissonLorraine M. FigJohn CahillLuca Giovanella
- Topics
- Thyroid Cancer Diagnosis and Treatment (34 papers)Radiomics and Machine Learning in Medical Imaging (16 papers)Medical Imaging Techniques and Applications (14 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Anca M. Avram
73 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 95
- Endocrinology, Diabetes and Metabolism 1.3k
- Radiology, Nuclear Medicine and Imaging 829
- Surgery 739
- Epidemiology 280
- Cancer Research 203
Countries citing papers authored by Anca M. Avram
This map shows the geographic impact of Anca M. Avram'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 Anca M. Avram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anca M. Avram more than expected).
Fields of papers citing papers by Anca M. Avram
This network shows the impact of papers produced by Anca M. Avram. 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 Anca M. Avram. The network helps show where Anca M. Avram may publish in the future.
Co-authorship network of co-authors of Anca M. Avram
This figure shows the co-authorship network connecting the top 25 collaborators of Anca M. Avram. A scholar is included among the top collaborators of Anca M. Avram 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 Anca M. Avram. Anca M. Avram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | SNMMI Procedure Standard/EANM Practice Guideline for Nuclear Medicine Evaluation and Therapy of Differentiated Thyroid Cancer: Abbreviated Version. | 58 |
| 3 | 55 | |
| 4 | 12 | |
| 5 | 18 | |
| 6 | 19 | |
| 7 | 10 | |
| 8 | 89 | |
| 9 | 16 | |
| 10 | 23 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 8 | |
| 15 | 14 | |
| 16 | 75 | |
| 17 | 27 | |
| 18 | 16 | |
| 19 | 17 | |
| 20 | 1 |
About Anca M. Avram
Anca M. Avram is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (34 papers), Radiomics and Machine Learning in Medical Imaging (16 papers) and Medical Imaging Techniques and Applications (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Radiology, Nuclear Medicine and Imaging (829 citations) and Surgery (739 citations). Anca M. Avram has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Ka Kit Wong, Milton D. Gross, Kirk A. Frey, Yuni K. Dewaraja, James C. Sisson, Lorraine M. Fig, John Cahill, Luca Giovanella, Kenneth F. Koral and Nazanene H. Esfandiari. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.
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.