J Picado-Leonard

1.6k total citations
9 papers, 1.3k citations indexed

About

J Picado-Leonard is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Pharmacology. According to data from OpenAlex, J Picado-Leonard has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Pharmacology. Recurrent topics in J Picado-Leonard's work include Hormonal and reproductive studies (5 papers), Sexual Differentiation and Disorders (5 papers) and Pharmacogenetics and Drug Metabolism (5 papers). J Picado-Leonard is often cited by papers focused on Hormonal and reproductive studies (5 papers), Sexual Differentiation and Disorders (5 papers) and Pharmacogenetics and Drug Metabolism (5 papers). J Picado-Leonard collaborates with scholars based in United States and Israel. J Picado-Leonard's co-authors include Walter L. Miller, Bon‐chu Chung, Walter L. Miller, John E. Shively, Michał Bieńkowski, W L Miller, Mitsuru Haniu, Peter F. Hall, T. Mohandas and Raimo Voutilainen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

J Picado-Leonard

9 papers receiving 1.3k citations

Peers

J Picado-Leonard

EDM

GENET

PHARM

Masaaki Kagimoto United States

Bettina Husen Germany

Yves Lachance Canada

Gilles Leblanc Canada

Johan Lund Sweden

George E. Swaneck United States

Taisuke Nakata Japan

Y. Nishino Germany

C.J. Apolito United States

Peter D. Feil United States

Masaaki Kagimoto United States

J Picado-Leonard

566 ×0.7

392 ×0.5

EDM

228 ×0.5

GENET

328 ×1.1

PHARM

87 ×0.7

Citations per year, relative to J Picado-Leonard J Picado-Leonard (= 1×) peers Masaaki Kagimoto

Countries citing papers authored by J Picado-Leonard

Since Specialization

Citations

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

Fields of papers citing papers by J Picado-Leonard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J Picado-Leonard. 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 Picado-Leonard. The network helps show where J Picado-Leonard may publish in the future.

Co-authorship network of co-authors of J Picado-Leonard

This figure shows the co-authorship network connecting the top 25 collaborators of J Picado-Leonard. A scholar is included among the top collaborators of J Picado-Leonard 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 Picado-Leonard. J Picado-Leonard 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

Brentano, Steven T., J Picado-Leonard, Synthia H. Mellon, C C Moore, & Walter L. Miller. (1990). Tissue-Specific, Cyclic Adenosine 3′,5′-Monophosphate-lnduced, and Phorbol Ester-Repressed Transcription from the Human P450c17 Promoter in Mouse Cells. Molecular Endocrinology. 4(12). 1972–1979. 106 indexed citations

Picado-Leonard, J & Walter L. Miller. (1988). SEQUENCES OF INTEREST: Homologous Sequences in Steroidogenic Enzymes, Steroid Receptors and a Steroid Binding Protein Suggest a Consensus Steroid-Binding Sequence. Molecular Endocrinology. 2(11). 1145–1150. 80 indexed citations

Voutilainen, Raimo, et al.. (1988). Hormonal and Developmental Regulation of Adrenodoxin Messenger Ribonucleic Acid in Steroidogenic Tissues*. The Journal of Clinical Endocrinology & Metabolism. 66(2). 383–388. 30 indexed citations

Picado-Leonard, J, Yves Morel, R. W. Kuhn, et al.. (1988). Human adrenodoxin reductase: two mRNAs encoded by a single gene on chromosome 17cen----q25 are expressed in steroidogenic tissues.. Proceedings of the National Academy of Sciences. 85(19). 7104–7108. 77 indexed citations

Morel, Yves, J Picado-Leonard, Da Wu, et al.. (1988). Assignment of the functional gene for human adrenodoxin to chromosome 11q13----qter and of adrenodoxin pseudogenes to chromosome 20cen----q13.1.. PubMed. 43(1). 52–9. 29 indexed citations

Picado-Leonard, J, Raimo Voutilainen, L.C. Kao, et al.. (1988). Human adrenodoxin: cloning of three cDNAs and cycloheximide enhancement in JEG-3 cells.. Journal of Biological Chemistry. 263(7). 3240–3244. 129 indexed citations

Picado-Leonard, J & Walter L. Miller. (1987). Cloning and Sequence of the Human Gene for P450cl7 (Steroid 17α-Hydroxylase/17,20 Lyase): Similarity with the Gene for P450c21. DNA. 6(5). 439–448. 348 indexed citations

Chung, Bon‐chu, J Picado-Leonard, Mitsuru Haniu, et al.. (1987). Cytochrome P450c17 (steroid 17 alpha-hydroxylase/17,20 lyase): cloning of human adrenal and testis cDNAs indicates the same gene is expressed in both tissues.. Proceedings of the National Academy of Sciences. 84(2). 407–411. 372 indexed citations

Matteson, Karla J., J Picado-Leonard, Bon‐chu Chung, T. Mohandas, & Walter L. Miller. (1986). ASSIGNMENT OF THE GENE FOR ADRENAL P450cl7 (STEROID 17α-HYDR0XYLASE⁄17,20 LYASE) TO HUMAN CHROMOSOME 10.. The Journal of Clinical Endocrinology & Metabolism. 63(3). 789–791. 129 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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