Jason A. Wexler

958 total citations
17 papers, 615 citations indexed

About

Jason A. Wexler is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jason A. Wexler has authored 17 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Endocrinology, Diabetes and Metabolism, 5 papers in Oncology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jason A. Wexler's work include Thyroid Cancer Diagnosis and Treatment (6 papers), Bone health and treatments (5 papers) and Medical Imaging Techniques and Applications (3 papers). Jason A. Wexler is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (6 papers), Bone health and treatments (5 papers) and Medical Imaging Techniques and Applications (3 papers). Jason A. Wexler collaborates with scholars based in United States, Austria and Canada. Jason A. Wexler's co-authors include John M. Sharretts, Anca M. Avram, Douglas Van Nostrand, Lawrence T. Dauer, Mihriye Mete, James R. Hurley, James D. Brierley, Charlotte H. Edinboro, I. Ross McDougall and Kenneth D. Burman and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Clinical Cancer Research.

In The Last Decade

Jason A. Wexler

17 papers receiving 599 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason A. Wexler United States	13	357	152	150	141	78	17	615
Giulia Ferrarazzo Italy	12	151 0.4×	109 0.7×	145 1.0×	195 1.4×	182 2.3×	25	525
Kiyomi Y. Hames Japan	14	549 1.5×	116 0.8×	266 1.8×	98 0.7×	67 0.9×	33	722
B Gibelli Italy	14	358 1.0×	208 1.4×	251 1.7×	93 0.7×	82 1.1×	24	724
Taofik Oyekunle United States	17	281 0.8×	166 1.1×	228 1.5×	79 0.6×	233 3.0×	59	703
Yun Mi Choi South Korea	18	691 1.9×	122 0.8×	415 2.8×	81 0.6×	56 0.7×	48	922
Brahm Shapiro United States	17	390 1.1×	90 0.6×	591 3.9×	137 1.0×	129 1.7×	37	927
J Hermans Netherlands	11	231 0.6×	141 0.9×	154 1.0×	127 0.9×	160 2.1×	37	750
Marek Dedecjus Poland	15	387 1.1×	78 0.5×	228 1.5×	85 0.6×	77 1.0×	70	606
Armaghan Fard‐Esfahani Iran	17	302 0.8×	85 0.6×	221 1.5×	235 1.7×	95 1.2×	63	721
Samantha Peiling Yang Singapore	14	442 1.2×	93 0.6×	235 1.6×	58 0.4×	24 0.3×	29	702

Countries citing papers authored by Jason A. Wexler

Since Specialization

Citations

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

Fields of papers citing papers by Jason A. Wexler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason A. Wexler

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

All Works

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17 of 17 papers shown

Donohoe, Kevin, Anca M. Avram, Luca Giovanella, et al.. (2020). Appropriate Use Criteria for Nuclear Medicine in the Evaluation and Treatment of Differentiated Thyroid Cancer. Journal of Nuclear Medicine. 61(3). 375–396. 19 indexed citations

Powers, Alvin C., et al.. (2016). Affordable Care Act Implementation: Challenges and Opportunities to Impact Patients With Diabetes. The Journal of Clinical Endocrinology & Metabolism. 101(4). 1315–1317. 2 indexed citations

Bikas, Athanasios, Priya Kundra, Sameer Desale, et al.. (2015). Phase 2 clinical trial of sunitinib as adjunctive treatment in patients with advanced differentiated thyroid cancer. European Journal of Endocrinology. 174(3). 373–380. 52 indexed citations

Kushchayeva, Yevgeniya, Sergiy V. Kushchayev, Jason A. Wexler, et al.. (2014). Current Treatment Modalities for Spinal Metastases Secondary to Thyroid Carcinoma. Thyroid. 24(10). 1443–1455. 36 indexed citations

Kulkarni, Kanchan, Douglas Van Nostrand, Francis Atkins, et al.. (2013). Does lemon juice increase radioiodine reaccumulation within the parotid glands more than if lemon juice is not administered?. Nuclear Medicine Communications. 35(2). 210–216. 19 indexed citations

Freitas, John E., I. Ross McDougall, Lawrence T. Dauer, et al.. (2011). Radiation Safety in the Treatment of Patients with Thyroid Diseases by Radioiodine ¹³¹ I: Practice Recommendations of the American Thyroid Association. Thyroid. 21(4). 335–346. 141 indexed citations

Wexler, Jason A.. (2011). Approach to the Thyroid Cancer Patient with Bone Metastases. The Journal of Clinical Endocrinology & Metabolism. 96(8). 2296–2307. 69 indexed citations

Nostrand, Douglas Van, et al.. (2010). Radiopharmacokinetics of Radioiodine in the Parotid Glands After the Administration of Lemon Juice. Thyroid. 20(10). 1113–1119. 30 indexed citations

Sharma, Meeta, et al.. (2010). Graves' Disease and Thymic Hyperplasia: The Relationship of Thymic Volume to Thyroid Function. Thyroid. 20(9). 1015–1018. 22 indexed citations

10.

Nakai, Yuichiro, Robert H. Noth, Jason A. Wexler, et al.. (2008). Computer-based screening of chest X-rays for vertebral compression fractures as an osteoporosis index in men. Bone. 42(6). 1214–1218. 4 indexed citations

11.

Cao, Jie, Mary L. Biggs, Joshua I. Barzilay, et al.. (2007). Cardiovascular and mortality risk prediction and stratification using urinary albumin excretion in older adults ages 68–102: The cardiovascular Health Study. Atherosclerosis. 197(2). 806–813. 42 indexed citations

12.

Wexler, Jason A. & John M. Sharretts. (2007). Thyroid and Bone. Endocrinology and Metabolism Clinics of North America. 36(3). 673–705. 40 indexed citations

13.

Joshi, Sanjay S., et al.. (2006). Mathematical modeling and computer simulation of a robotic rat pup. Mathematical and Computer Modelling. 45(7-8). 981–1000. 10 indexed citations

14.

Lara, Primo N., Walter M. Stadler, Jeff Longmate, et al.. (2006). A Randomized Phase II Trial of the Matrix Metalloproteinase Inhibitor BMS-275291 in Hormone-Refractory Prostate Cancer Patients with Bone Metastases. Clinical Cancer Research. 12(5). 1556–1563. 48 indexed citations

15.

Cao, Jie, Joshua I. Barzilay, Do Peterson, et al.. (2005). The association of microalbuminuria with clinical cardiovascular disease and subclinical atherosclerosis in the elderly: The Cardiovascular Health Study. Atherosclerosis. 187(2). 372–377. 58 indexed citations

16.

Lara, Primo N., Jeff Longmate, Walter M. Stadler, et al.. (2005). Markers of bone metabolism predict survival in hormone refractory prostate cancer (HRPC): Results from a randomized California Cancer Consortium & University of Chicago trial. Journal of Clinical Oncology. 23(16_suppl). 4569–4569. 4 indexed citations

17.

Latchaw, Richard E., et al.. (2004). Simultaneous Symptomatic Rathke’s Cleft Cyst and GH Secreting Pituitary Adenoma: A Case Report. Pituitary. 7(1). 39–44. 19 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.

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