P. Reed Larsen

12.7k total citations
125 papers, 9.8k citations indexed

About

P. Reed Larsen is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Physiology. According to data from OpenAlex, P. Reed Larsen has authored 125 papers receiving a total of 9.8k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Endocrinology, Diabetes and Metabolism, 47 papers in Molecular Biology and 25 papers in Physiology. Recurrent topics in P. Reed Larsen's work include Thyroid Disorders and Treatments (87 papers), Growth Hormone and Insulin-like Growth Factors (25 papers) and Thyroid Cancer Diagnosis and Treatment (16 papers). P. Reed Larsen is often cited by papers focused on Thyroid Disorders and Treatments (87 papers), Growth Hormone and Insulin-like Growth Factors (25 papers) and Thyroid Cancer Diagnosis and Treatment (16 papers). P. Reed Larsen collaborates with scholars based in United States, Italy and Hungary. P. Reed Larsen's co-authors include John W. Harney, Antônio C. Bianco, Domenico Salvatore, Gregory A. Brent, Michael M. Kaplan, Jack L. Leonard, Sung Woo Kim, David D. Moore, Monica Dentice and Theo J. Visser and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

P. Reed Larsen

125 papers receiving 9.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. Reed Larsen United States 55 6.4k 3.0k 1.6k 1.5k 860 125 9.8k
Gregory A. Brent United States 52 7.5k 1.2× 3.5k 1.2× 2.5k 1.6× 1.2k 0.8× 1.2k 1.4× 143 12.2k
INDER J. CHOPRA United States 55 6.6k 1.0× 2.2k 0.7× 743 0.5× 1.5k 1.0× 985 1.1× 188 9.7k
E. Chester Ridgway United States 56 9.0k 1.4× 2.2k 0.7× 1.7k 1.1× 693 0.5× 552 0.6× 188 11.7k
John W. Harney United States 59 4.9k 0.8× 4.7k 1.6× 1.6k 1.0× 1.8k 1.2× 591 0.7× 115 11.4k
Liam J. Murphy Canada 52 3.9k 0.6× 3.4k 1.1× 1.8k 1.2× 961 0.6× 579 0.7× 159 8.4k
Domenico Salvatore Italy 40 4.4k 0.7× 2.2k 0.7× 961 0.6× 578 0.4× 462 0.5× 116 6.7k
Krishna Chatterjee United Kingdom 62 5.8k 0.9× 6.9k 2.3× 2.8k 1.8× 2.9k 2.0× 504 0.6× 204 14.8k
Boris Draznin United States 48 2.6k 0.4× 3.5k 1.2× 812 0.5× 2.1k 1.4× 376 0.4× 180 7.8k
Luca Persani Italy 58 5.7k 0.9× 4.4k 1.5× 2.6k 1.7× 458 0.3× 948 1.1× 371 12.3k
Terry G. Unterman United States 62 2.6k 0.4× 7.3k 2.4× 1.2k 0.8× 2.5k 1.7× 697 0.8× 157 12.6k

Countries citing papers authored by P. Reed Larsen

Since Specialization
Citations

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

Fields of papers citing papers by P. Reed Larsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. Reed Larsen. 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 P. Reed Larsen. The network helps show where P. Reed Larsen may publish in the future.

Co-authorship network of co-authors of P. Reed Larsen

This figure shows the co-authorship network connecting the top 25 collaborators of P. Reed Larsen. A scholar is included among the top collaborators of P. Reed Larsen 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 P. Reed Larsen. P. Reed Larsen 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.
Ogawa-Wong, Ashley N., et al.. (2022). Modulation of Deiodinase Types 2 and 3 during Skeletal Muscle Regeneration. Metabolites. 12(7). 612–612. 7 indexed citations
2.
Zevenbergen, Chantal, Stefan Groeneweg, Sigrid Swagemakers, et al.. (2018). Functional Analysis of Genetic Variation in the SECIS Element of Thyroid Hormone Activating Type 2 Deiodinase. The Journal of Clinical Endocrinology & Metabolism. 104(5). 1369–1377. 3 indexed citations
3.
Wajner, Simone Magagnin, et al.. (2011). IL-6 promotes nonthyroidal illness syndrome by blocking thyroxine activation while promoting thyroid hormone inactivation in human cells. Journal of Clinical Investigation. 121(5). 1834–1845. 111 indexed citations
4.
Dentice, Monica, Cristina Luongo, Stephen A. Huang, et al.. (2007). Sonic hedgehog-induced type 3 deiodinase blocks thyroid hormone action enhancing proliferation of normal and malignant keratinocytes. Proceedings of the National Academy of Sciences. 104(36). 14466–14471. 143 indexed citations
5.
Canettieri, Gianluca, Antonella Franchi, Ianessa Morantte, et al.. (2007). Activation of Thyroid Hormone Is Transcriptionally Regulated by Epidermal Growth Factor in Human Placenta-Derived JEG3 Cells. Endocrinology. 149(2). 695–702. 19 indexed citations
6.
Christoffolete, Marcelo A., Rogério Silicani Ribeiro, Praful S. Singru, et al.. (2006). Atypical Expression of Type 2 Iodothyronine Deiodinase in Thyrotrophs Explains the Thyroxine-Mediated Pituitary Thyrotropin Feedback Mechanism. Endocrinology. 147(4). 1735–1743. 91 indexed citations
7.
Carvalho, Suzy D., Miriam O. Ribeiro, Mark J. Schneider, et al.. (2001). The type 2 iodothyronine deiodinase is essential for adaptive thermogenesis in brown adipose tissue. Journal of Clinical Investigation. 108(9). 1379–1385. 380 indexed citations
8.
Marqusee, Ellen, P. Reed Larsen, & Susan J. Mandel. (2001). Ultrasonography in Management of Nodular Thyroid Disease. Annals of Internal Medicine. 135(5). 384–384. 1 indexed citations
9.
Buettner, Christoph, John W. Harney, & P. Reed Larsen. (2000). The Role of Selenocysteine 133 in Catalysis by the Human Type 2 Iodothyronine Deiodinase1. Endocrinology. 141(12). 4606–4612. 47 indexed citations
10.
11.
Toyoda, Nagaoki, Ellen Kaptein, Marla J. Berry, et al.. (1997). Structure-Activity Relationships for Thyroid Hormone Deiodination by Mammalian Type I Iodothyronine Deiodinases1. Endocrinology. 138(1). 213–219. 48 indexed citations
12.
Toyoda, Nagaoki, Ann Marie Zavacki, Ana Luiza Maia, John W. Harney, & P. Reed Larsen. (1995). A Novel Retinoid X Receptor-Independent Thyroid Hormone Response Element Is Present in the Human Type 1 Deiodinase Gene. Molecular and Cellular Biology. 15(9). 5100–5112. 128 indexed citations
13.
Toyoda, Nagaoki, Marla J. Berry, John W. Harney, & P. Reed Larsen. (1995). Topological Analysis of the Integral Membrane Protein, Type 1 Iodothyronine Deiodinase (D1). Journal of Biological Chemistry. 270(20). 12310–12318. 101 indexed citations
14.
15.
Koenig, Ronald J., Mitchell A. Lazar, Richard A. Hodin, et al.. (1989). Inhibition of thyroid hormone action by a non-hormone binding c-erbA protein generated by alternative mRNA splicing. Nature. 337(6208). 659–661. 384 indexed citations
16.
SILVA, J. ENRIQUE, et al.. (1987). Comparison of Kidney and Brown Adipose Tissue Iodothyronine 5′-Deiodinases*. Endocrinology. 121(2). 650–656. 21 indexed citations
17.
Koenig, Ronald J., et al.. (1984). Phorbol esters as probes of the regulation of thyrotropin secretion. Biochemical and Biophysical Research Communications. 125(1). 353–359. 12 indexed citations
18.
Fisher, Delbert A., Jean H. Dussault, Thomas P. Foley, et al.. (1979). Screening for congenital hypothyroidism: Results of screening one million North American infants. The Journal of Pediatrics. 94(5). 700–705. 284 indexed citations
19.
Klein, Alan H., et al.. (1976). Neonatal thyroid function in congenital hypothyroidism. The Journal of Pediatrics. 89(4). 545–549. 38 indexed citations
20.

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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