Trevor E. Angell

3.7k total citations
75 papers, 2.2k citations indexed

About

Trevor E. Angell is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Oncology. According to data from OpenAlex, Trevor E. Angell has authored 75 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Endocrinology, Diabetes and Metabolism, 22 papers in Surgery and 18 papers in Oncology. Recurrent topics in Trevor E. Angell's work include Thyroid Cancer Diagnosis and Treatment (50 papers), BRCA gene mutations in cancer (15 papers) and Thyroid and Parathyroid Surgery (15 papers). Trevor E. Angell is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (50 papers), BRCA gene mutations in cancer (15 papers) and Thyroid and Parathyroid Surgery (15 papers). Trevor E. Angell collaborates with scholars based in United States, China and Canada. Trevor E. Angell's co-authors include Melissa G. Lechner, Alan L. Epstein, Erik K. Alexander, Justine A. Barletta, Edmund S. Cibas, Ellen Marqusee, Jeffrey F. Krane, Jonathan S. LoPresti, Julie K. Jang and Matthew I. Kim and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Trevor E. Angell

68 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Trevor E. Angell United States 27 1.3k 682 647 401 336 75 2.2k
Tomonori Yabuta Japan 24 1.6k 1.2× 942 1.4× 331 0.5× 152 0.4× 345 1.0× 58 2.2k
Liborio Torregrossa Italy 30 2.2k 1.7× 810 1.2× 762 1.2× 177 0.4× 568 1.7× 119 3.3k
Fabián Pitoia Argentina 23 1.8k 1.4× 625 0.9× 310 0.5× 115 0.3× 265 0.8× 106 2.2k
Kepal N. Patel United States 22 1.2k 0.9× 771 1.1× 427 0.7× 62 0.2× 305 0.9× 70 1.9k
Diana Learoyd Australia 30 1.9k 1.4× 812 1.2× 620 1.0× 89 0.2× 497 1.5× 77 2.7k
Elham Khanafshar United States 21 973 0.7× 529 0.8× 377 0.6× 69 0.2× 330 1.0× 48 1.6k
T.W.J. Lennard United Kingdom 22 362 0.3× 500 0.7× 470 0.7× 105 0.3× 166 0.5× 71 1.5k
Yuji Mizukami Japan 23 540 0.4× 537 0.8× 437 0.7× 65 0.2× 110 0.3× 105 1.5k
Erich M. Sturgis United States 32 436 0.3× 583 0.9× 1.2k 1.9× 84 0.2× 365 1.1× 80 3.3k
Paul Lo Gerfo United States 21 451 0.3× 577 0.8× 471 0.7× 148 0.4× 70 0.2× 37 1.6k

Countries citing papers authored by Trevor E. Angell

Since Specialization
Citations

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

Fields of papers citing papers by Trevor E. Angell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Trevor E. Angell. 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 Trevor E. Angell. The network helps show where Trevor E. Angell may publish in the future.

Co-authorship network of co-authors of Trevor E. Angell

This figure shows the co-authorship network connecting the top 25 collaborators of Trevor E. Angell. A scholar is included among the top collaborators of Trevor E. Angell 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 Trevor E. Angell. Trevor E. Angell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Eckel, Sandrah P., Zhongzheng Niu, Tingyu Yang, et al.. (2025). Neighborhood deprivation and iodine levels influence air pollution effects on maternal thyroid function in early pregnancy. Environmental Research. 277. 121543–121543. 1 indexed citations
2.
Lamb, Christopher A, et al.. (2024). Evaluation of YouTube As A Source For Graves' Disease Information: Is High‐Quality Guideline‐Based Information Available?. OTO Open. 8(1). e118–e118. 3 indexed citations
3.
Lechner, Melissa G., Willy Hugo, Alexandra Drakaki, et al.. (2023). Clonally expanded, thyrotoxic effector CD8 + T cells driven by IL-21 contribute to checkpoint inhibitor thyroiditis. Science Translational Medicine. 15(696). eadg0675–eadg0675. 19 indexed citations
4.
5.
6.
Pasternak, Jesse D., Trevor E. Angell, & Jochen H. Lorch. (2021). Nihilism No More: The 2021 ATA Anaplastic Thyroid Cancer Guidelines. Clinical Thyroidology. 33(5). 229–233. 1 indexed citations
7.
8.
9.
Hodi, F. Stephen, Anita Giobbie‐Hurder, Xiaocheng Wang, et al.. (2019). The Impact of High-Dose Glucocorticoids on the Outcome of Immune-Checkpoint Inhibitor–Related Thyroid Disorders. Cancer Immunology Research. 7(7). 1214–1220. 49 indexed citations
10.
11.
Goldner, Whitney, Trevor E. Angell, Sallie McAdoo, et al.. (2019). Molecular Variants and Their Risks for Malignancy in Cytologically Indeterminate Thyroid Nodules. Thyroid. 29(11). 1594–1605. 44 indexed citations
12.
Angell, Trevor E., Howard T. Heller, Edmund S. Cibas, et al.. (2019). Independent Comparison of the Afirma Genomic Sequencing Classifier and Gene Expression Classifier for Cytologically Indeterminate Thyroid Nodules. Thyroid. 29(5). 650–656. 65 indexed citations
13.
Cherella, Christine E., Trevor E. Angell, Danielle M. Richman, et al.. (2019). Differences in Thyroid Nodule Cytology and Malignancy Risk Between Children and Adults. Thyroid. 29(8). 1097–1104. 54 indexed citations
14.
Angell, Trevor E., Chirag M. Vyas, Justine A. Barletta, et al.. (2018). Reasons Associated with Total Thyroidectomy as Initial Surgical Management of an Indeterminate Thyroid Nodule. Annals of Surgical Oncology. 25(5). 1410–1417. 11 indexed citations
15.
Minkovsky, Alissa, Mark N. Lee, Mitra Dowlatshahi, et al.. (2016). High-Dose Biotin Treatment for Secondary Progressive Multiple Sclerosis May Interfere with Thyroid Assays. AACE Clinical Case Reports. 2(4). e370–e373. 39 indexed citations
16.
Kakarmath, Sujay, Howard T. Heller, Edmund S. Cibas, et al.. (2016). Clinical, Sonographic, and Pathological Characteristics of RAS-Positive Versus BRAF-Positive Thyroid Carcinoma. The Journal of Clinical Endocrinology & Metabolism. 101(12). 4938–4944. 23 indexed citations
17.
Medici, Marco, Xiaoyun Liu, Norra Kwong, et al.. (2016). Long- versus short-interval follow-up of cytologically benign thyroid nodules: a prospective cohort study. BMC Medicine. 14(1). 11–11. 35 indexed citations
18.
Angell, Trevor E., Melissa G. Lechner, Julie K. Jang, Jonathan S. LoPresti, & Alan L. Epstein. (2014). MHC Class I Loss Is a Frequent Mechanism of Immune Escape in Papillary Thyroid Cancer That Is Reversed by Interferon and Selumetinib Treatment In Vitro. Clinical Cancer Research. 20(23). 6034–6044. 120 indexed citations
19.
Angell, Trevor E., Melissa G. Lechner, Julie K. Jang, et al.. (2014). BRAF V600E in Papillary Thyroid Carcinoma Is Associated with Increased Programmed Death Ligand 1 Expression and Suppressive Immune Cell Infiltration. Thyroid. 24(9). 1385–1393. 108 indexed citations
20.
Lechner, Melissa G., Keegan Barry-Holson, Trevor E. Angell, et al.. (2013). Immunogenicity of Murine Solid Tumor Models as a Defining Feature of In Vivo Behavior and Response to Immunotherapy. Journal of Immunotherapy. 36(9). 477–489. 268 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Tomonori Yabuta Breakdown of academic impact, for papers by Liborio Torregrossa Breakdown of academic impact, for papers by Fabián Pitoia Breakdown of academic impact, for papers by Kepal N. Patel Breakdown of academic impact, for papers by Diana Learoyd Breakdown of academic impact, for papers by Elham Khanafshar Breakdown of academic impact, for papers by T.W.J. Lennard Breakdown of academic impact, for papers by Yuji Mizukami Breakdown of academic impact, for papers by Erich M. Sturgis Breakdown of academic impact, for papers by Paul Lo Gerfo
Rankless by CCL
2026