J. E. Silva

1.4k total citations
9 papers, 1.2k citations indexed

About

J. E. Silva is a scholar working on Physiology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, J. E. Silva has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physiology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Molecular Biology. Recurrent topics in J. E. Silva's work include Adipose Tissue and Metabolism (6 papers), Thyroid Disorders and Treatments (4 papers) and Retinoids in leukemia and cellular processes (2 papers). J. E. Silva is often cited by papers focused on Adipose Tissue and Metabolism (6 papers), Thyroid Disorders and Treatments (4 papers) and Retinoids in leukemia and cellular processes (2 papers). J. E. Silva collaborates with scholars based in United States. J. E. Silva's co-authors include P. Reed Larsen, Antônio C. Bianco, Frank R. Crantz, P R Larsen, Xiang Sheng, Thomas E. Dick, Ira Mills, Jack L. Leonard, Marı́a-Jesús Obregón and Renée M. Y. Barge and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Endocrinology.

In The Last Decade

J. E. Silva

9 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. E. Silva United States	9	579	561	266	160	140	9	1.2k
James J. Schultz United States	14	434 0.7×	472 0.8×	340 1.3×	103 0.6×	73 0.5×	21	1.0k
Suzy D. Carvalho Brazil	13	1.0k 1.7×	546 1.0×	354 1.3×	249 1.6×	187 1.3×	14	1.6k
Alessandro Marsili Italy	23	330 0.6×	792 1.4×	497 1.9×	238 1.5×	111 0.8×	34	1.7k
Ignasi Ramı́rez Spain	21	311 0.5×	266 0.5×	348 1.3×	51 0.3×	93 0.7×	52	1.1k
P. de Gasquet France	12	495 0.9×	184 0.3×	273 1.0×	93 0.6×	129 0.9×	19	900
Otho E. Michaelis United States	21	523 0.9×	521 0.9×	233 0.9×	147 0.9×	94 0.7×	58	1.2k
Laxmi Srivastava United States	23	129 0.2×	650 1.2×	233 0.9×	106 0.7×	56 0.4×	48	1.2k
Xiaohong Yuan Japan	16	332 0.6×	244 0.4×	469 1.8×	140 0.9×	109 0.8×	36	1.2k
R H Unger United States	15	420 0.7×	875 1.6×	517 1.9×	202 1.3×	65 0.5×	16	1.7k
Hans Seitz Germany	19	395 0.7×	338 0.6×	573 2.2×	58 0.4×	122 0.9×	38	969

Countries citing papers authored by J. E. Silva

Since Specialization

Citations

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

Fields of papers citing papers by J. E. Silva

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. E. Silva

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

All Works

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9 of 9 papers shown

Mills, Ira, et al.. (1989). Effect of thyroid status on catecholamine stimulation of thyroxine 5'-deiodinase in brown adipocytes. American Journal of Physiology-Endocrinology and Metabolism. 256(1). E74–E79. 15 indexed citations

Bianco, Antônio C., Xiang Sheng, & J. E. Silva. (1988). Triiodothyronine amplifies norepinephrine stimulation of uncoupling protein gene transcription by a mechanism not requiring protein synthesis.. Journal of Biological Chemistry. 263(34). 18168–18175. 180 indexed citations

Barge, Renée M. Y., Ira Mills, J. E. Silva, & P R Larsen. (1988). Phorbol esters, protein kinase C, and thyroxine 5'-deiodinase in brown adipocytes. American Journal of Physiology-Endocrinology and Metabolism. 254(3). E323–E327. 14 indexed citations

Obregón, Marı́a-Jesús, Ira Mills, J. E. Silva, & P R Larsen. (1987). Catecholamine Stimulation of Iodothyronine 5′-Deiodinase Activity in Rat Dispersed Brown Adipocytes*. Endocrinology. 120(3). 1069–1072. 25 indexed citations

Bianco, Antônio C. & J. E. Silva. (1987). Optimal response of key enzymes and uncoupling protein to cold in BAT depends on local T3 generation. American Journal of Physiology-Endocrinology and Metabolism. 253(3). E255–E263. 94 indexed citations

Leonard, Jack L., et al.. (1985). Studies of Nuclear 3,5,3′-Triiodothyronine Binding in Primary Cultures of Rat Brain*. Endocrinology. 117(5). 1848–1857. 38 indexed citations

Silva, J. E. & P. Reed Larsen. (1983). Adrenergic activation of triiodothyronine production in brown adipose tissue. Nature. 305(5936). 712–713. 333 indexed citations

Crantz, Frank R., J. E. Silva, & P. Reed Larsen. (1982). An Analysis of the Sources and Quantity of 3,5,3′-Triiodothyronine Specifically Bound to Nuclear Receptors in Rat Cerebral Cortex and Cerebellum*. Endocrinology. 110(2). 367–375. 290 indexed citations

Silva, J. E., Thomas E. Dick, & P R Larsen. (1978). The Contribution of Local Tissue Thyroxine Monodeiodination to the Nuclear 3,5,3′- Triiodothyronine in Pituitary, Liver, and Kidney of Euthyroid Rats*. Endocrinology. 103(4). 1196–1207. 164 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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