James A. Fagin

39.2k total citations · 11 hit papers
242 papers, 23.5k citations indexed

About

James A. Fagin is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Molecular Biology. According to data from OpenAlex, James A. Fagin has authored 242 papers receiving a total of 23.5k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Endocrinology, Diabetes and Metabolism, 99 papers in Oncology and 96 papers in Molecular Biology. Recurrent topics in James A. Fagin's work include Thyroid Cancer Diagnosis and Treatment (131 papers), Cancer-related Molecular Pathways (79 papers) and Growth Hormone and Insulin-like Growth Factors (27 papers). James A. Fagin is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (131 papers), Cancer-related Molecular Pathways (79 papers) and Growth Hormone and Insulin-like Growth Factors (27 papers). James A. Fagin collaborates with scholars based in United States, Italy and United Kingdom. James A. Fagin's co-authors include Jeffrey A. Knauf, Yuri E. Nikiforov, Ronald Ghossein, Marina N. Nikiforova, Samuel A. Wells, Zhaowen Zhu, Edna Teruko Kimura, Julio C. Ricarte‐Filho, R. Michael Tuttle and James S. Forrester and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

James A. Fagin

240 papers receiving 23.0k citations

Hit Papers

High prevalence of BRAF m... 1990 2026 2002 2014 2003 2011 2016 2003 2016 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James A. Fagin United States 76 15.1k 8.8k 7.8k 3.8k 3.2k 242 23.5k
Rossella Elisei Italy 72 18.4k 1.2× 4.5k 0.5× 5.5k 0.7× 3.4k 0.9× 6.2k 1.9× 370 23.3k
Yuri E. Nikiforov United States 82 26.3k 1.7× 7.3k 0.8× 6.9k 0.9× 6.0k 1.6× 9.9k 3.1× 250 32.8k
Manuel Sobrinho‐Simões Portugal 65 7.2k 0.5× 5.0k 0.6× 3.6k 0.5× 1.9k 0.5× 4.4k 1.4× 357 14.9k
Mingzhao Xing United States 58 9.1k 0.6× 6.2k 0.7× 4.0k 0.5× 2.3k 0.6× 1.5k 0.5× 120 13.9k
Samuel A. Wells United States 62 8.1k 0.5× 3.7k 0.4× 4.7k 0.6× 3.6k 0.9× 3.9k 1.2× 256 16.2k
Massimo Santoro Italy 54 7.6k 0.5× 4.4k 0.5× 4.2k 0.5× 1.8k 0.5× 1.6k 0.5× 114 11.6k
Marco A. Pierotti Italy 85 4.4k 0.3× 13.3k 1.5× 10.7k 1.4× 3.8k 1.0× 2.6k 0.8× 457 27.2k
Orlo H. Clark United States 71 9.6k 0.6× 3.0k 0.3× 3.7k 0.5× 3.2k 0.8× 7.2k 2.2× 347 17.1k
Electron Kebebew United States 69 9.8k 0.6× 3.8k 0.4× 4.3k 0.6× 2.4k 0.6× 7.7k 2.4× 378 19.1k
Bryan R. Haugen United States 53 23.6k 1.6× 3.9k 0.4× 3.4k 0.4× 3.7k 1.0× 12.4k 3.9× 159 27.7k

Countries citing papers authored by James A. Fagin

Since Specialization
Citations

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

Fields of papers citing papers by James A. Fagin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Fagin. 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 James A. Fagin. The network helps show where James A. Fagin may publish in the future.

Co-authorship network of co-authors of James A. Fagin

This figure shows the co-authorship network connecting the top 25 collaborators of James A. Fagin. A scholar is included among the top collaborators of James A. Fagin 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 James A. Fagin. James A. Fagin 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.
Dong, Yiyu, Yongxing Gong, Fengshen Kuo, et al.. (2021). Targeting the mTOR Pathway in Hurthle Cell Carcinoma Results in Potent Antitumor Activity. Molecular Cancer Therapeutics. 21(2). 382–394. 4 indexed citations
2.
Saqcena, Mahesh, Luis J. Leandro‐García, Jesper L.V. Mååg, et al.. (2020). SWI/SNF Complex Mutations Promote Thyroid Tumor Progression and Insensitivity to Redifferentiation Therapies. Cancer Discovery. 11(5). 1158–1175. 71 indexed citations
3.
Fletcher, Alice, Martin L. Read, Dean P. Larner, et al.. (2019). Targeting Novel Sodium Iodide Symporter Interactors ADP-Ribosylation Factor 4 and Valosin-Containing Protein Enhances Radioiodine Uptake. Cancer Research. 80(1). 102–115. 34 indexed citations
4.
Landa, Iñigo, Nikita Pozdeyev, Christopher Korch, et al.. (2019). Comprehensive Genetic Characterization of Human Thyroid Cancer Cell Lines: A Validated Panel for Preclinical Studies. Clinical Cancer Research. 25(10). 3141–3151. 130 indexed citations
5.
Schweppe, Rebecca E., Nikita Pozdeyev, Laura A. Pike, et al.. (2019). Establishment and Characterization of Four Novel Thyroid Cancer Cell Lines and PDX Models Expressing the RET/PTC1 Rearrangement, BRAFV600E, or RASQ61R as Drivers. Molecular Cancer Research. 17(5). 1036–1048. 12 indexed citations
6.
Krishnamoorthy, Gnana P., Natalie R. Davidson, Steven D. Leach, et al.. (2018). EIF1AX and RAS Mutations Cooperate to Drive Thyroid Tumorigenesis through ATF4 and c-MYC. Cancer Discovery. 9(2). 264–281. 71 indexed citations
7.
Ibrahimpašić, Tihana, Bin Xu, Iñigo Landa, et al.. (2017). Genomic Alterations in Fatal Forms of Non-Anaplastic Thyroid Cancer: Identification of MED12 and RBM10 as Novel Thyroid Cancer Genes Associated with Tumor Virulence. Clinical Cancer Research. 23(19). 5970–5980. 94 indexed citations
8.
García-Rendueles, María E.R., Julio C. Ricarte‐Filho, Brian R. Untch, et al.. (2015). NF2 Loss Promotes Oncogenic RAS-Induced Thyroid Cancers via YAP-Dependent Transactivation of RAS Proteins and Sensitizes Them to MEK Inhibition. Cancer Discovery. 5(11). 1178–1193. 99 indexed citations
9.
Landa, Iñigo, Ian Ganly, Timothy A. Chan, et al.. (2013). Frequent Somatic TERT Promoter Mutations in Thyroid Cancer: Higher Prevalence in Advanced Forms of the Disease. The Journal of Clinical Endocrinology & Metabolism. 98(9). E1562–E1566. 337 indexed citations
10.
Knauf, Jeffrey A., C. F. Gotfredsen, Andrew Pilling, et al.. (2012). GLP-1 Receptor Agonists and the Thyroid: C-Cell Effects in Mice Are Mediated via the GLP-1 Receptor and not Associated with RET Activation. Endocrinology. 153(3). 1538–1547. 112 indexed citations
11.
Couto, Joana, Laura Daly, Ana Paula de Almeida, et al.. (2012). STAT3 negatively regulates thyroid tumorigenesis. Proceedings of the National Academy of Sciences. 109(35). E2361–70. 112 indexed citations
12.
Wells, Samuel A., Bruce G. Robinson, Robert F. Gagel, et al.. (2011). Vandetanib in Patients With Locally Advanced or Metastatic Medullary Thyroid Cancer: A Randomized, Double-Blind Phase III Trial. Journal of Clinical Oncology. 30(2). 134–141. 1082 indexed citations breakdown →
13.
Robbins, Richard J., et al.. (2011). Five-Year Survival Is Similar in Thyroid Cancer Patients with Distant Metastases Prepared for Radioactive Iodine Therapy with either Thyroid Hormone Withdrawal or Recombinant Human TSH. The Journal of Clinical Endocrinology & Metabolism. 96(7). 2105–2111. 70 indexed citations
14.
Franco, Aime T., Roberta Malaguarnera, Samuel Refetoff, et al.. (2011). Thyrotrophin receptor signaling dependence of Braf-induced thyroid tumor initiation in mice. Proceedings of the National Academy of Sciences. 108(4). 1615–1620. 177 indexed citations
15.
Ricarte‐Filho, Julio C., Mabel Ryder, Dhananjay Chitale, et al.. (2009). Mutational Profile of Advanced Primary and Metastatic Radioactive Iodine-Refractory Thyroid Cancers Reveals Distinct Pathogenetic Roles for BRAF, PIK3CA , and AKT1. Cancer Research. 69(11). 4885–4893. 420 indexed citations
16.
Croyle, Michelle, Nagako Akeno, Jeffrey A. Knauf, et al.. (2008). RET/PTC-Induced Cell Growth Is Mediated in Part by Epidermal Growth Factor Receptor (EGFR) Activation: Evidence for Molecular and Functional Interactions between RET and EGFR. Cancer Research. 68(11). 4183–4191. 73 indexed citations
17.
Schweppe, Rebecca E., Joshua Klopper, Christopher Korch, et al.. (2008). Deoxyribonucleic Acid Profiling Analysis of 40 Human Thyroid Cancer Cell Lines Reveals Cross-Contamination Resulting in Cell Line Redundancy and Misidentification. The Journal of Clinical Endocrinology & Metabolism. 93(11). 4331–4341. 490 indexed citations
18.
Mesa, Cléo Otaviano, M. B. Mirza, Norisato Mitsutake, et al.. (2006). Conditional Activation of RET/PTC3 and BRAFV600E in Thyroid Cells Is Associated with Gene Expression Profiles that Predict a Preferential Role of BRAF in Extracellular Matrix Remodeling. Cancer Research. 66(13). 6521–6529. 116 indexed citations
19.
Ouyang, Bin, Jeffrey A. Knauf, Eric P. Smith, et al.. (2006). Inhibitors of Raf Kinase Activity Block Growth of Thyroid Cancer Cells with RET/PTC or BRAF Mutations In vitro and In vivo. Clinical Cancer Research. 12(6). 1785–1793. 113 indexed citations
20.
Nikiforova, Marina N., Edna Teruko Kimura, Manoj Gandhi, et al.. (2003). BRAF Mutations in Thyroid Tumors Are Restricted to Papillary Carcinomas and Anaplastic or Poorly Differentiated Carcinomas Arising from Papillary Carcinomas. The Journal of Clinical Endocrinology & Metabolism. 88(11). 5399–5404. 823 indexed citations breakdown →

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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