Michael Tuttle

1.2k citations
24 papers · 845 · h-index 13

Impact in

Papers in

Michael Tuttle

20 papers receiving 831 citations

Peers

Michael Tuttle
Comparison fields: 5 of 44
  • Endocrinology, Diabetes and Metabolism 745
  • Reproductive Medicine 63
  • Anatomy 8
  • Surgery 190
  • Pathology and Forensic Medicine 74
Replace Koon‐Yat Wan with:
Koon‐Yat Wan Hong Kong
Sin‐Ming Chow China
F Pacini Italy
O Ippolito Italy
Bie‐Yu Huang Taiwan
Kyung Won Kim South Korea
Kullathorn Thephamongkhol Thailand
Tommaso Bizzarro Italy
BM Arafah United States
J Colon France
Michael Tuttle relative to Koon‐Yat Wan Hong Kong Koon‐Yat Wan's profile →
Citations per field
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Koon‐Yat Wan · 1×
Citations per year

Countries citing papers authored by Michael Tuttle

Since Specialization
Citations

This map shows the geographic impact of Michael Tuttle'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 Tuttle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Tuttle more than expected).

Fields of papers citing papers by Michael Tuttle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Tuttle. 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 Tuttle. The network helps show where Michael Tuttle may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael Tuttle, 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 Tuttle Line = papers co-authored together Michael Tuttle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010282
2 1998181
3 201460
4 200957
5 200638
6 200034
7 201628
8 202225
9 200925
10 200325
11 202223
12 201914
13 201313
14 200412
15 201911
16 20019
17 20063
18 20062
19 20222
20 20071

About Michael Tuttle

Michael Tuttle is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Reproductive Medicine, Oncology and Radiation, having authored 24 papers that have together received 845 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (20 papers), Thyroid and Parathyroid Surgery (5 papers), Head and Neck Anomalies (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Thyroid Disorders and Treatments (3 papers), Advanced Radiotherapy Techniques (2 papers), BRCA gene mutations in cancer (2 papers) and Neuroendocrine Tumor Research Advances (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (745 citations), Reproductive Medicine (63 citations), Anatomy (8 citations), Surgery (190 citations) and Pathology and Forensic Medicine (74 citations). Michael Tuttle has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Ronald Ghossein, Ashok R. Shaha, Michael Rivera, James A. Fagin, Julio C. Ricarte‐Filho, Jeffrey A. Knauf, Donald R McClellan, Catherine Dinauer, Gary L. Francis and Daniel K. Robie. Their work appears in journals such as Thyroid, The Journal of Clinical Endocrinology & Metabolism, Head & Neck, Clinical Endocrinology and European Journal of Nuclear Medicine and Molecular Imaging.

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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