Michael Rivera

38.9k citations
61 papers · 2.5k indexed · h-index 24

Michael Rivera

54 papers receiving 2.4k citations

Peers

Michael Rivera
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Oncology 624
  • Pathology and Forensic Medicine 384
  • Surgery 868
  • Reproductive Medicine 158
Replace Julio C. Ricarte‐Filho with:
Julio C. Ricarte‐Filho United States
Jean‐Paul Travagli France
Mabel Ryder United States
Kunio Mochizuki Japan
Patrícia Castro Portugal
Matthew A. Nehs United States
Valeria Bottici Italy
Soo Youn Cho South Korea
Tatiana Rogounovitch Japan
Ida Rapa Italy
Michael Rivera relative to Julio C. Ricarte‐Filho United States Julio C. Ricarte‐Filho's profile →
Citations per field
00.5×1.5×1.8×
Julio C. Ricarte‐Filho · 1×
Citations per year

Countries citing papers authored by Michael Rivera

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Michael Rivera Line = papers co-authored together Michael Rivera links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20234
4 20231
5 20230
6 20231
7 202010
8 201957
9 201549
10 201519
11
Design Considerations and Performance of a Next-Generation Encapsulated Cell Technology Intraocular Implant Delivering VEGF-Antagonist
20142
12 201433
13 201066
14 201030
15 2009420
16 200925
17 200957
18 200884
19 20087
20 2008165

About Michael Rivera

Michael Rivera is a scholar working on Endocrinology, Diabetes and Metabolism, Otorhinolaryngology, Oncology, Surgery and Pathology and Forensic Medicine, having authored 61 papers that have together received 2.5k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (22 papers), Adrenal and Paraganglionic Tumors (7 papers), Pituitary Gland Disorders and Treatments (6 papers), Thyroid and Parathyroid Surgery (6 papers), Cancer-related Molecular Pathways (6 papers), Head and Neck Cancer Studies (6 papers), Salivary Gland Tumors Diagnosis and Treatment (6 papers) and Ear and Head Tumors (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Oncology (624 citations), Pathology and Forensic Medicine (384 citations), Surgery (868 citations) and Reproductive Medicine (158 citations). Michael Rivera has collaborated with scholars based in United States, Canada and Mexico. Frequent co-authors include Ronald Ghossein, R. Michael Tuttle, Ashok R. Shaha, Julio C. Ricarte‐Filho, James A. Fagin, Jeffrey A. Knauf, Michael Tuttle, Luis Chiriboga, Daisuke Nonaka and Mabel Ryder. Their work appears in journals such as Thyroid, Cancer, Diagnostic Cytopathology, The Journal of Clinical Endocrinology & Metabolism and Endocrine Pathology.

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.

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