Brian W. Kim

8.8k total citations · 5 hit papers
45 papers, 6.6k citations indexed

About

Brian W. Kim is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics. According to data from OpenAlex, Brian W. Kim has authored 45 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Endocrinology, Diabetes and Metabolism, 16 papers in Molecular Biology and 8 papers in Genetics. Recurrent topics in Brian W. Kim's work include Thyroid Disorders and Treatments (18 papers), Thyroid Cancer Diagnosis and Treatment (15 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). Brian W. Kim is often cited by papers focused on Thyroid Disorders and Treatments (18 papers), Thyroid Cancer Diagnosis and Treatment (15 papers) and Growth Hormone and Insulin-like Growth Factors (6 papers). Brian W. Kim collaborates with scholars based in United States, Hungary and Canada. Brian W. Kim's co-authors include Antônio C. Bianco, John W. Harney, Marcelo A. Christoffolete, Tatsuhiko Kodama, Chikage Mataki, Johan Auwerx, Nadia Messaddeq, Osamu Ezaki, Kristina Schoonjans and Sander M. Houten and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Brian W. Kim

44 papers receiving 6.4k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Bile acids induce energy expenditure by promoting intracellular thyroid hormone activation

2006 1.8k citations Marcelo A. Christoffolete, Brian W. Kim et al. profile →
Guidelines for the Treatment of Hypothyroidism: Prepared by the American Thyroid Association Task Force on Thyroid Hormone Replacement

2014 1.1k citations Jacqueline Jonklaas, Antônio C. Bianco et al. Thyroid profile →
Cellular and Molecular Basis of Deiodinase-Regulated Thyroid Hormone Signaling1

2008 643 citations Balázs Gereben, Ann Marie Zavacki et al. profile →
Deiodinases: implications of the local control of thyroid hormone action

2006 624 citations Antônio C. Bianco, Brian W. Kim Journal of Clinical Investigation profile →
Long-term assessment of a multidisciplinary approach to thyroid nodule diagnostic evaluation

2007 549 citations Brian W. Kim, P. Reed Larsen et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brian W. Kim United States	23	3.6k	1.8k	1.2k	1.2k	1.1k	45	6.6k
Davide Lauro Italy	50	1.9k 0.5×	2.5k 1.3×	1.9k 1.5×	1.5k 1.2×	594 0.6×	206	7.3k
Po Sing Leung Hong Kong	50	1.8k 0.5×	2.3k 1.3×	935 0.8×	2.1k 1.7×	472 0.4×	190	6.9k
Boris Draznin United States	48	2.6k 0.7×	3.5k 1.9×	2.1k 1.7×	1.5k 1.2×	557 0.5×	180	7.8k
Luigi Laviola Italy	42	1.9k 0.5×	2.2k 1.2×	1.4k 1.1×	952 0.8×	329 0.3×	126	6.2k
Mats Rudling Sweden	46	1.9k 0.5×	2.3k 1.2×	1.5k 1.2×	2.5k 2.1×	1.4k 1.3×	97	7.9k
Ulrich Kintscher Germany	48	2.0k 0.6×	3.4k 1.9×	1.8k 1.5×	1.5k 1.2×	366 0.3×	170	9.3k
Ana Luiza Maia Brazil	37	4.5k 1.3×	1.3k 0.7×	389 0.3×	927 0.8×	491 0.5×	155	6.2k
Youfei Guan China	60	1.7k 0.5×	4.4k 2.4×	1.7k 1.4×	1.6k 1.3×	742 0.7×	226	10.3k
Yasushi Tanaka Japan	44	2.0k 0.6×	2.9k 1.6×	1.4k 1.1×	981 0.8×	388 0.4×	289	7.8k
Emanuel Christ Switzerland	40	2.7k 0.7×	977 0.5×	842 0.7×	1.0k 0.9×	1.4k 1.3×	206	5.7k

Countries citing papers authored by Brian W. Kim

Since Specialization

Citations

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

Fields of papers citing papers by Brian W. Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian W. Kim. 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 Brian W. Kim. The network helps show where Brian W. Kim may publish in the future.

Co-authorship network of co-authors of Brian W. Kim

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

All Works

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20 of 20 papers shown

Kim, Brian W.. (2020). Expert Second Opinions Frequently Change Histologic Diagnoses: An Argument in Favor of Standardizing Thyroid Cancer Pathology Reports. Clinical Thyroidology. 32(12). 574–576. 1 indexed citations

Kim, Brian W.. (2020). Critically Ill COVID-19 Patients May Be Prone to Subacute Thyroiditis. Clinical Thyroidology. 32(9). 412–414.

Kim, Brian W.. (2019). An Increased Relative but Small Absolute Risk of Leukemia Can Be Attributed to I-131 Ablation. Clinical Thyroidology. 31(1). 30–32. 1 indexed citations

Sawka, Anna M., Anna R. Gagliardi, Megan R. Haymart, et al.. (2019). A Survey of American Thyroid Association Members Regarding the 2015 Adult Thyroid Nodule and Differentiated Thyroid Cancer Clinical Practice Guidelines. Thyroid. 30(1). 25–33. 11 indexed citations

Kim, Brian W.. (2018). The Positive Predictive Value of RAS Mutations in Cytologically Indeterminate Thyroid Nodules Has Considerable Unexplained Variability Across Studies. Clinical Thyroidology. 30(6). 269–272. 1 indexed citations

Kim, Brian W.. (2018). Kinase Inhibitors May Enhance I-131 Uptake in Thyroid Cancer. Clinical Thyroidology. 30(12). 566–569. 1 indexed citations

Naoum, George E., et al.. (2018). Novel targeted therapies and immunotherapy for advanced thyroid cancers. Molecular Cancer. 17(1). 51–51. 163 indexed citations

Karmali, Reem, Andrew Dalovisio, Jeffrey A. Borgia, et al.. (2014). All in the family: Clueing into the link between metabolic syndrome and hematologic malignancies. Blood Reviews. 29(2). 71–80. 14 indexed citations

Hong, Eun‐Gyoung, Brian W. Kim, Dae Young Jung, et al.. (2013). Cardiac Expression of Human Type 2 Iodothyronine Deiodinase Increases Glucose Metabolism and Protects Against Doxorubicin-induced Cardiac Dysfunction in Male Mice. Endocrinology. 154(10). 3937–3946. 20 indexed citations

10.

Bianco, Antônio C., Grant W. Anderson, Douglas Forrest, et al.. (2013). American Thyroid Association Guide to Investigating Thyroid Hormone Economy and Action in Rodent and Cell Models. Thyroid. 24(1). 88–168. 163 indexed citations

11.

Ueta, Cintia B., Gustavo W. Fernandes, Luciane P. Capelo, et al.. (2012). β1 Adrenergic receptor is key to cold- and diet-induced thermogenesis in mice. Journal of Endocrinology. 214(3). 359–365. 88 indexed citations

12.

Kang, Hye Won, Scott Ribich, Brian W. Kim, et al.. (2009). Mice lacking Pctp /StarD2 exhibit increased adaptive thermogenesis and enlarged mitochondria in brown adipose tissue. Journal of Lipid Research. 50(11). 2212–2221. 28 indexed citations

13.

Bianco, Antônio C. & Brian W. Kim. (2006). Deiodinases: implications of the local control of thyroid hormone action. Journal of Clinical Investigation. 116(10). 2571–2579. 624 indexed citations breakdown →

14.

Huang, Stephen A., Michelle A. Mulcahey, Alessandra Crescenzi, et al.. (2005). Transforming Growth Factor-β Promotes Inactivation of Extracellular Thyroid Hormones via Transcriptional Stimulation of Type 3 Iodothyronine Deiodinase. Molecular Endocrinology. 19(12). 3126–3136. 55 indexed citations

15.

Dentice, Monica, Amitabha Bandyopadhyay, Balázs Gereben, et al.. (2005). The Hedgehog-inducible ubiquitin ligase subunit WSB-1 modulates thyroid hormone activation and PTHrP secretion in the developing growth plate. Nature Cell Biology. 7(7). 698–705. 185 indexed citations

16.

Vigilance, Deon W., Brian W. Kim, Mauricio Garrido, et al.. (2004). 860-1 The success of surgical pulmonary vein isolation for atrial fibrillation is not influenced by omission of the mitral annular connecting lesion. Journal of the American College of Cardiology. 43(5). A148–A148. 1 indexed citations

17.

Bianco, Suzy D.C., Brian W. Kim, John W. Harney, et al.. (2004). Chronic Cardiac-Specific Thyrotoxicosis Increases Myocardial β-Adrenergic Responsiveness. Molecular Endocrinology. 18(7). 1840–1849. 39 indexed citations

18.

Kim, Brian W., Ann Marie Zavacki, Cyntia Curcio‐Morelli, et al.. (2003). Endoplasmic Reticulum-Associated Degradation of the Human Type 2 Iodothyronine Deiodinase (D2) is Mediated via an Association between Mammalian UBC7 and the Carboxyl Region of D2. Molecular Endocrinology. 17(12). 2603–2612. 49 indexed citations

19.

Curcio‐Morelli, Cyntia, Balázs Gereben, Ann Marie Zavacki, et al.. (2003). In Vivo Dimerization of Types 1, 2, and 3 Iodothyronine Selenodeiodinases. Endocrinology. 144(3). 937–946. 63 indexed citations

20.

Kim, Brian W., Gilbert H. Daniels, B J Harrison, et al.. (2003). Overexpression of Type 2 Iodothyronine Deiodinase in Follicular Carcinoma as a Cause of Low Circulating Free Thyroxine Levels. The Journal of Clinical Endocrinology & Metabolism. 88(2). 594–598. 57 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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