Peter M. Syka

596 total citations
11 papers, 481 citations indexed

About

Peter M. Syka is a scholar working on Genetics, Molecular Biology and Pharmacology. According to data from OpenAlex, Peter M. Syka has authored 11 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 6 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in Peter M. Syka's work include Estrogen and related hormone effects (5 papers), Glycosylation and Glycoproteins Research (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Peter M. Syka is often cited by papers focused on Estrogen and related hormone effects (5 papers), Glycosylation and Glycoproteins Research (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Peter M. Syka collaborates with scholars based in United States and Italy. Peter M. Syka's co-authors include Richard A. Heyman, Renato Dulbecco, David J. Mangelsdorf, Keith L. Parker, Deepak S. Lala, Michael Unger, M Bowman, Hector Battifora, Seiji Okada and Mauro Bologna and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Peter M. Syka

10 papers receiving 446 citations

Peers

Peter M. Syka

GENET

ONCOL

SURGE

IMMUN

Robin Butler United Kingdom

Iruvanti Sunitha United States

SM Greenberg United States

Małgorzata Jarmuż‐Szymczak Poland

Mary R. Dusing United States

Cox Dw Canada

Bettina Lorenz Germany

L.L. Haley United States

Elisabeth Martin France

Wanda Renaud France

Robin Butler United Kingdom

Peter M. Syka

350 ×1.3

233 ×1.5

GENET

75 ×0.9

ONCOL

37 ×0.5

SURGE

33 ×0.5

IMMUN

Citations per year, relative to Peter M. Syka Peter M. Syka (= 1×) peers Robin Butler

Countries citing papers authored by Peter M. Syka

Since Specialization

Citations

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

Fields of papers citing papers by Peter M. Syka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter M. Syka. 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 Peter M. Syka. The network helps show where Peter M. Syka may publish in the future.

Co-authorship network of co-authors of Peter M. Syka

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

All Works

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11 of 11 papers shown

Hudson, Andrew R., Robert I. Higuchi, Steven L. Roach, et al.. (2011). Nonsteroidal 2,3-dihydroquinoline glucocorticoid receptor agonists with reduced PEPCK activation. Bioorganic & Medicinal Chemistry Letters. 21(6). 1654–1657. 3 indexed citations

Roach, Steven L., Robert I. Higuchi, Andrew R. Hudson, et al.. (2011). Tetrahydroquinolin-3-yl carbamate glucocorticoid receptor agonists with reduced PEPCK activation. Bioorganic & Medicinal Chemistry Letters. 21(6). 1658–1662. 1 indexed citations

Hudson, Andrew R., Robert I. Higuchi, Steven L. Roach, et al.. (2011). Discovery of orally available tetrahydroquinoline-based glucocorticoid receptor agonists. Bioorganic & Medicinal Chemistry Letters. 21(6). 1697–1700. 6 indexed citations

Marschke, Keith B., Deepa Rungta, Daniela A Slavin, et al.. (2011). Discovery of Non-Peptidyl Small-Molecule Human GCSF Receptor Agonists for the Potential Treatment of Neutropenia,. Blood. 118(21). 3391–3391. 1 indexed citations

Roach, Steven L., Robert I. Higuchi, Andrew R. Hudson, et al.. (2010). Tetrahydroquinoline glucocorticoid receptor agonists: Discovery of a 3-hydroxyl for improving receptor selectivity. Bioorganic & Medicinal Chemistry Letters. 21(1). 168–171. 9 indexed citations

Lala, Deepak S., et al.. (1997). Activation of the orphan nuclear receptor steroidogenic factor 1 by oxysterols. Proceedings of the National Academy of Sciences. 94(10). 4895–4900. 169 indexed citations

Nagy, László, Shan Lu, James P. Basilion, et al.. (1996). Identification and Characterization of a Versatile Retinoid Response Element (Retinoic Acid Receptor Response Element-Retinoid X Receptor Response Element) in the Mouse Tissue Transglutaminase Gene Promoter. Journal of Biological Chemistry. 271(8). 4355–4365. 117 indexed citations

Dulbecco, Renato, et al.. (1984). Microvillin: a 200-kilodalton protein in microvilli of rat mammary cells detected by a monoclonal antibody.. Proceedings of the National Academy of Sciences. 81(17). 5459–5463. 7 indexed citations

Dulbecco, Renato, et al.. (1984). Developmental regulation of cytokeratins in cells of the rat mammary gland studied with monoclonal antibodies.. Proceedings of the National Academy of Sciences. 81(4). 1203–1207. 28 indexed citations

10.

Dulbecco, Renato, et al.. (1983). Epithelial cell types and their evolution in the rat mammary gland determined by immunological markers.. Proceedings of the National Academy of Sciences. 80(4). 1033–1037. 50 indexed citations

11.

Dulbecco, Renato, Michael Unger, Mauro Bologna, et al.. (1981). Cross-reactivity between Thy-1 and a component of intermediate filaments demonstrated using a monoclonal antibody. Nature. 292(5825). 772–774. 90 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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