Michael Rivera
Impact in
-
- Thyroid Cancer Diagnosis and Treatment
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
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- Thyroid Cancer Diagnosis and Treatment 22
- Surgery 20
- Adrenal and Paraganglionic Tumors 7
- Salivary Gland Tumors Diagnosis and Treatment 5
- Co-authors
- Ronald Ghossein (14 shared papers)R. Michael Tuttle (8 shared papers)Ashok R. Shaha (9 shared papers)Julio C. Ricarte‐Filho (5 shared papers)James A. Fagin (5 shared papers)Jeffrey A. Knauf (3 shared papers)Michael Tuttle (3 shared papers)Yunjia Tang (1 shared paper)
- Journals
- Thyroid (6 papers)Endocrine Pathology (3 papers)The Journal of Clinical Endocrinology & Metabolism (3 papers)Diagnostic Cytopathology (3 papers)Cancer (3 papers)
- Partner nations
- United StatesCanadaGreece
In The Last Decade
Michael Rivera
58 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 85
- Endocrinology, Diabetes and Metabolism 1.8k
- Oncology 505
- Reproductive Medicine 149
- Pathology and Forensic Medicine 269
- Surgery 602
Countries citing papers authored by Michael Rivera
This map shows the geographic impact of Michael Rivera'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 Michael Rivera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Rivera more than expected).
Fields of papers citing papers by Michael Rivera
This network shows the impact of papers produced by Michael Rivera. 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 Michael Rivera. The network helps show where Michael Rivera may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Rivera, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 443 | |
| 2 | 2010 | 290 | |
| 3 | 2007 | 223 | |
| 4 | 2008 | 174 | |
| 5 | 2009 | 116 | |
| 6 | 2007 | 116 | |
| 7 | 2012 | 103 | |
| 8 | 2008 | 98 | |
| 9 | 2014 | 95 | |
| 10 | 2011 | 77 | |
| 11 | 2010 | 72 | |
| 12 | 2016 | 71 | |
| 13 | 2009 | 62 | |
| 14 | 2019 | 60 | |
| 15 | 2013 | 57 | |
| 16 | 2018 | 53 | |
| 17 | 2015 | 51 | |
| 18 | 2011 | 49 | |
| 19 | 2014 | 35 | |
| 20 | 2009 | 34 |
About Michael Rivera
Michael Rivera is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Oncology, Molecular Biology and Pathology and Forensic Medicine, having authored 62 papers that have together received 2.7k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (22 papers), Adrenal and Paraganglionic Tumors (7 papers), Salivary Gland Tumors Diagnosis and Treatment (5 papers), Ear and Head Tumors (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Soft tissue tumor case studies (3 papers), Cancer-related Molecular Pathways (3 papers) and Tumors and Oncological Cases (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Oncology (505 citations), Reproductive Medicine (149 citations), Pathology and Forensic Medicine (269 citations) and Surgery (602 citations). Michael Rivera has collaborated with scholars based in United States, Canada and Greece. Frequent co-authors include Ronald Ghossein, R. Michael Tuttle, Ashok R. Shaha, Julio C. Ricarte‐Filho, James A. Fagin, Jeffrey A. Knauf, Michael Tuttle, Yunjia Tang, Daisuke Nonaka and Luis Chiriboga. Their work appears in journals such as Thyroid, Endocrine Pathology, The Journal of Clinical Endocrinology & Metabolism, Diagnostic Cytopathology and Cancer.
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.