Peter R. Reczek

1.5k total citations
31 papers, 1.3k citations indexed

About

Peter R. Reczek is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peter R. Reczek has authored 31 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 17 papers in Genetics and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Peter R. Reczek's work include Retinoids in leukemia and cellular processes (24 papers), Estrogen and related hormone effects (17 papers) and Nuclear Receptors and Signaling (4 papers). Peter R. Reczek is often cited by papers focused on Retinoids in leukemia and cellular processes (24 papers), Estrogen and related hormone effects (17 papers) and Nuclear Receptors and Signaling (4 papers). Peter R. Reczek collaborates with scholars based in United States, Germany and France. Peter R. Reczek's co-authors include John E. Starrett, Pierre Chambon, Jerzy Ostrowski, Hinrich Gronemeyer, Jacek Ostrowski, Sergio Penco, Patrick Balaguer, M. Pons�, David R. Tortolani and Sanny S.W. Chung and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Peter R. Reczek

30 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter R. Reczek United States 20 999 571 212 146 134 31 1.3k
Wenlin Shao United States 12 1.7k 1.7× 294 0.5× 185 0.9× 154 1.1× 37 0.3× 21 1.9k
W K Hong United States 14 745 0.7× 431 0.8× 137 0.6× 87 0.6× 29 0.2× 18 1.2k
S J Chen China 12 1.2k 1.2× 204 0.4× 156 0.7× 123 0.8× 25 0.2× 16 1.4k
Gabriela Paroni Italy 20 1.1k 1.1× 164 0.3× 51 0.2× 159 1.1× 62 0.5× 34 1.3k
Elena Cavadini Italy 19 669 0.7× 104 0.2× 98 0.5× 103 0.7× 20 0.1× 30 877
Barbára Giglioni Italy 29 1.1k 1.1× 215 0.4× 62 0.3× 74 0.5× 16 0.1× 68 1.9k
Elaine Sierra‐Rivera United States 16 574 0.6× 119 0.2× 39 0.2× 158 1.1× 24 0.2× 19 955
Jacqueline M. Bentel Australia 22 942 0.9× 747 1.3× 49 0.2× 75 0.5× 45 0.3× 53 1.9k
Navdar Sever United States 12 1.2k 1.2× 204 0.4× 33 0.2× 77 0.5× 38 0.3× 13 1.6k
Atsushi Sato Japan 19 780 0.8× 104 0.2× 29 0.1× 159 1.1× 46 0.3× 44 1.1k

Countries citing papers authored by Peter R. Reczek

Since Specialization
Citations

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

Fields of papers citing papers by Peter R. Reczek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter R. Reczek

This figure shows the co-authorship network connecting the top 25 collaborators of Peter R. Reczek. A scholar is included among the top collaborators of Peter R. Reczek 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 R. Reczek. Peter R. Reczek 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.
2.
Chung, Sanny S.W., Rebecca A. D. Cuellar, Xiangyuan Wang, et al.. (2013). Pharmacological Activity of Retinoic Acid Receptor Alpha-Selective Antagonists in Vitro and in Vivo. ACS Medicinal Chemistry Letters. 4(5). 446–450. 24 indexed citations
3.
Chung, Sanny S.W., et al.. (2011). Oral Administration of a Retinoic Acid Receptor Antagonist Reversibly Inhibits Spermatogenesis in Mice. Endocrinology. 152(6). 2492–2502. 87 indexed citations
4.
Henry, Dale O., et al.. (2008). Intravesical Administration of Plasminogen Activator Inhibitor Type-1 Inhibits In Vivo Bladder Tumor Invasion and Progression. The Journal of Urology. 181(1). 336–342. 11 indexed citations
5.
Dirami, Ghenima, G. D. Massaro, Linda Biadasz Clerch, et al.. (2004). Lung retinol storing cells synthesize and secrete retinoic acid, an inducer of alveolus formation. American Journal of Physiology-Lung Cellular and Molecular Physiology. 286(2). L249–L256. 60 indexed citations
6.
Beehler, Blake C., Yong-Jiang Hei, Simon Chen, et al.. (2003). Inhibition of disease progression by a novel retinoid antagonist in animal models of arthritis.. PubMed. 30(2). 355–63. 28 indexed citations
7.
8.
Boyle, Jay O., John Langenfeld, Fulvio Lonardo, et al.. (1999). Cyclin D1 Proteolysis: a Retinoid Chemoprevention Signal in Normal, Immortalized, and Transformed Human Bronchial Epithelial Cells. JNCI Journal of the National Cancer Institute. 91(4). 373–379. 84 indexed citations
9.
Mitchell, Teresa I., et al.. (1999). Retinoid‐Mediated Suppression of Tumor Invasion and Matrix Metalloproteinase Synthesis. Annals of the New York Academy of Sciences. 878(1). 466–486. 26 indexed citations
10.
Kitareewan, Sutisak, Michael J. Spinella, Janet Allopenna, Peter R. Reczek, & Ethan Dmitrovsky. (1999). 4HPR triggers apoptosis but not differentiation in retinoid sensitive and resistant human embryonal carcinoma cells through an RARγ independent pathway. Oncogene. 18(42). 5747–5755. 41 indexed citations
11.
Yang, Limin, et al.. (1999). Retinoic acid receptor antagonist BMS453 inhibits the growth of normal and malignant breast cells without activating RAR–dependent gene expression. Breast Cancer Research and Treatment. 56(3). 275–289. 18 indexed citations
12.
Ostrowski, Jacek, Laura Hammer, Anne Marinier, et al.. (1998). Serine 232 and Methionine 272 Define the Ligand Binding Pocket in Retinoic Acid Receptor Subtypes. Journal of Biological Chemistry. 273(6). 3490–3495. 35 indexed citations
13.
Kersten, Sander, et al.. (1998). Auto-silencing by the retinoid X receptor. Journal of Molecular Biology. 284(1). 21–32. 34 indexed citations
14.
Kersten, Sander, Peter R. Reczek, & Noa Noy. (1997). The Tetramerization Region of the Retinoid X Receptor Is Important for Transcriptional Activation by the Receptor. Journal of Biological Chemistry. 272(47). 29759–29768. 32 indexed citations
15.
Chen, Jiayang, John L. Clifford, John E. Starrett, et al.. (1996). Two distinct actions of retinoid-receptor ligands. Nature. 382(6594). 819–822. 164 indexed citations
16.
Seachord, Carrie L., et al.. (1996). Ligand-induced Conformational Changes in the Human Retinoic Acid Receptor γ Detected Using Monoclonal Antibodies. Journal of Biological Chemistry. 271(38). 22969–22975. 9 indexed citations
17.
Chen, Simon, Gary S. Whiting, Laura Hammer, et al.. (1995). Retinoic Acid Receptor Gamma Mediates Topical Retinoid Efficacy and Irritation in Animal Models. Journal of Investigative Dermatology. 104(5). 779–783. 56 indexed citations
18.
Reczek, Peter R., Jacek Ostrowski, Kuo‐Long Yu, et al.. (1995). Role of Retinoic Acid Receptor Gamma in the Rhino Mouse and Rabbit Irritation Models of Retinoid Activity. Skin Pharmacology and Physiology. 8(6). 292–299. 16 indexed citations
19.
Lupisella, John A., et al.. (1995). The Ligand Binding Domain of the Human Retinoic Acid Receptor γ Is Predominantly α-Helical with a Trp Residue in the Ligand Binding Site. Journal of Biological Chemistry. 270(42). 24884–24890. 13 indexed citations
20.
Bentzel, Carl J. & Peter R. Reczek. (1978). Permeability changes in Necturus proximal tubule during volume expansion. American Journal of Physiology-Renal Physiology. 234(3). F225–F234. 8 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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