Priyanka Iyer
- Endocrinology, Diabetes and Metabolism top 2%
- Oncology top 5%
- Molecular Biology
- Genetics
- Pulmonary and Respiratory Medicine
- Co-authors
- Maria E. CabanillasRamona DaduNaifa L. BusaidyMark ZafereoMichelle D. WilliamsRenata FerrarottoG. Brandon GunnMaria Gule-Monroe
- Topics
- Thyroid Cancer Diagnosis and Treatment (18 papers)Cancer-related Molecular Pathways (9 papers)BRCA gene mutations in cancer (7 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesRomaniaEgypt
In The Last Decade
Priyanka Iyer
33 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 63
- Endocrinology, Diabetes and Metabolism 633
- Oncology 566
- Molecular Biology 212
- Genetics 163
- Pulmonary and Respiratory Medicine 159
Countries citing papers authored by Priyanka Iyer
This map shows the geographic impact of Priyanka Iyer'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 Priyanka Iyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priyanka Iyer more than expected).
Fields of papers citing papers by Priyanka Iyer
This network shows the impact of papers produced by Priyanka Iyer. 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 Priyanka Iyer. The network helps show where Priyanka Iyer may publish in the future.
Co-authorship network of co-authors of Priyanka Iyer
This figure shows the co-authorship network connecting the top 25 collaborators of Priyanka Iyer. A scholar is included among the top collaborators of Priyanka Iyer 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 Priyanka Iyer. Priyanka Iyer 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 | 1 | |
| 4 | 0 | |
| 5 | 34 | |
| 6 | 12 | |
| 7 | 27 | |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 45 | |
| 13 | 34 | |
| 14 | 10 | |
| 15 | 150 | |
| 16 | 0 | |
| 17 | 154 | |
| 18 | 88 | |
| 19 | 10 | |
| 20 | 70 |
About Priyanka Iyer
Priyanka Iyer is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Pathology and Forensic Medicine, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (18 papers), Cancer-related Molecular Pathways (9 papers) and BRCA gene mutations in cancer (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (633 citations), Oncology (566 citations) and Anatomy (12 citations). Priyanka Iyer has collaborated with scholars based in United States, Romania and Egypt. Frequent co-authors include Maria E. Cabanillas, Ramona Dadu, Naifa L. Busaidy, Mark Zafereo, Michelle D. Williams, Renata Ferrarotto, G. Brandon Gunn, Maria Gule-Monroe, Neil D. Gross and Mouhammed Amir Habra. 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.