Adam M. Silverstein

2.4k total citations
31 papers, 2.0k citations indexed

About

Adam M. Silverstein is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Adam M. Silverstein has authored 31 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Pulmonary and Respiratory Medicine and 7 papers in Immunology. Recurrent topics in Adam M. Silverstein's work include Pulmonary Hypertension Research and Treatments (12 papers), Heat shock proteins research (12 papers) and Toxin Mechanisms and Immunotoxins (6 papers). Adam M. Silverstein is often cited by papers focused on Pulmonary Hypertension Research and Treatments (12 papers), Heat shock proteins research (12 papers) and Toxin Mechanisms and Immunotoxins (6 papers). Adam M. Silverstein collaborates with scholars based in United States, France and United Kingdom. Adam M. Silverstein's co-authors include William B. Pratt, Mario D. Galigniana, Michael Chinkers, Janet Owens‐Grillo, Marc C. Mumby, Kimon C. Kanelakis, Anthony J. Davis, Lucie H. Clapp, Brendan J.R. Whittle and Louis F. Stancato and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Adam M. Silverstein

31 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Adam M. Silverstein United States	17	1.5k	357	238	209	206	31	2.0k
Takayasu Kobayashi Japan	24	1.9k 1.3×	178 0.5×	149 0.6×	115 0.6×	355 1.7×	51	2.4k
Olga Vagin United States	27	1.2k 0.8×	185 0.5×	247 1.0×	103 0.5×	207 1.0×	53	2.1k
Kazutoyo Terada Japan	32	1.8k 1.2×	232 0.6×	82 0.3×	353 1.7×	480 2.3×	66	2.8k
Richard Kolesnick United States	21	1.9k 1.3×	337 0.9×	215 0.9×	341 1.6×	296 1.4×	44	2.7k
Masatoshi Inoue Japan	18	1.4k 1.0×	132 0.4×	132 0.6×	216 1.0×	461 2.2×	42	2.1k
George Thomas Switzerland	24	3.4k 2.3×	292 0.8×	123 0.5×	205 1.0×	438 2.1×	33	4.0k
Tokuo Yamamoto Japan	19	1.9k 1.3×	278 0.8×	58 0.2×	201 1.0×	322 1.6×	30	3.0k
Phuongmai Nguyen United States	23	2.0k 1.3×	255 0.7×	124 0.5×	376 1.8×	274 1.3×	31	2.9k
Ben C. Tilly Netherlands	27	1.9k 1.3×	325 0.9×	255 1.1×	429 2.1×	476 2.3×	47	2.9k
D. Michael Payne United States	17	1.7k 1.1×	225 0.6×	73 0.3×	147 0.7×	347 1.7×	31	2.2k

Countries citing papers authored by Adam M. Silverstein

Since Specialization

Citations

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

Fields of papers citing papers by Adam M. Silverstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adam M. Silverstein

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

All Works

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20 of 20 papers shown

Knopman, David S., Daniel T. Laskowitz, Deborah K. Attix, et al.. (2024). RECOVER-NEURO: study protocol for a multi-center, multi-arm, phase 2, randomized, active comparator trial evaluating three interventions for cognitive dysfunction in post-acute sequelae of SARS-CoV-2 infection (PASC). Trials. 25(1). 326–326. 6 indexed citations

Tu, Ly, Raphaël Thuillet, Thomas Beck, et al.. (2023). AMPK activation by metformin protects against pulmonary hypertension in rats and relaxes isolated human pulmonary artery. European Journal of Pharmacology. 946. 175579–175579. 9 indexed citations

Kolb, Martin, Stylianos E. Orfanos, Kevin R. Flaherty, et al.. (2022). The Antifibrotic Effects of Inhaled Treprostinil: An Emerging Option for ILD. Advances in Therapy. 39(9). 3881–3895. 31 indexed citations

Senbel, Amira, Gülsev Özen, Hasanga D. Manikpurage, et al.. (2021). In search of pulmonary hypertension treatments: Effect of 17β-estradiol on PGI2 pathway in human pulmonary artery. Prostaglandins Leukotrienes and Essential Fatty Acids. 172. 102321–102321. 3 indexed citations

Özen, Gülsev, Fangfang Li, Adam M. Silverstein, et al.. (2019). Interaction between PGI2 and ET-1 pathways in vascular smooth muscle from Group-III pulmonary hypertension patients. Prostaglandins & Other Lipid Mediators. 146. 106388–106388. 3 indexed citations

Patel, Jitesh A., Lei Shen, Susan Hall, et al.. (2015). Ep2 Receptors Play A Key Role In Mediating The Anti-Proliferative Activity Of Treprostinil In Smooth Muscle Cells Derived From The Lungs Of Pulmonary Hypertensive Patients. UCL Discovery (University College London). 2 indexed citations

Özen, Gülsev, Nelson N. Orie, Liliane Louedec, et al.. (2015). Ex vivo relaxations of pulmonary arteries induced by prostacyclin mimetics are highly dependent of the precontractile agents. Prostaglandins & Other Lipid Mediators. 121(Pt A). 46–52. 13 indexed citations

Abraham, David, et al.. (2014). Comparison of current therapies against endothelin-induced growth in pulmonary smooth arterial muscle cells (PASMCs) derived from patients with pulmonary arterial hypertension. European Respiratory Journal. 44(Suppl 58). P2355–P2355. 3 indexed citations

Whittle, Brendan J.R., Adam M. Silverstein, David Mottola, & Lucie H. Clapp. (2012). Binding and activity of the prostacyclin receptor (IP) agonists, treprostinil and iloprost, at human prostanoid receptors: Treprostinil is a potent DP1 and EP2 agonist. Biochemical Pharmacology. 84(1). 68–75. 142 indexed citations

10.

Liu, Wei, et al.. (2006). A Functional Genomics Analysis of the B56 Isoforms of Drosophila Protein Phosphatase 2A. Molecular & Cellular Proteomics. 6(2). 319–332. 14 indexed citations

11.

Silverstein, Adam M. & Marc C. Mumby. (2003). Drosophila Cells Using RNA Interference" chap="27">Analysis of Protein Phosphatase Function in Drosophila Cells Using RNA Interference. Methods in enzymology on CD-ROM/Methods in enzymology. 366. 359–372. 4 indexed citations

12.

Morishima, Yoshihiro, Kimon C. Kanelakis, Adam M. Silverstein, et al.. (2000). The Hsp Organizer Protein Hop Enhances the Rate of but Is Not Essential for Glucocorticoid Receptor Folding by the Multiprotein Hsp90-based Chaperone System. Journal of Biological Chemistry. 275(10). 6894–6900. 81 indexed citations

13.

Giannoukos, Georgia, Adam M. Silverstein, William B. Pratt, & S. Stoney Simons. (1999). The Seven Amino Acids (547–553) of Rat Glucocorticoid Receptor Required for Steroid and Hsp90 Binding Contain a Functionally Independent LXXLL Motif That Is Critical for Steroid Binding. Journal of Biological Chemistry. 274(51). 36527–36536. 40 indexed citations

14.

Bender, Andrew T., Adam M. Silverstein, Damon R. Demady, et al.. (1999). Neuronal Nitric-oxide Synthase Is Regulated by the hsp90-based Chaperone System in Vivo. Journal of Biological Chemistry. 274(3). 1472–1478. 135 indexed citations

15.

Towns, Roberto, K.M.J. Menon, R. Kaye Brabec, et al.. (1999). Glucocorticoids Stimulate the Accumulation of Lipids in the Rat Corpus Luteum1. Biology of Reproduction. 61(2). 416–421. 13 indexed citations

16.

Silverstein, Adam M., Mario D. Galigniana, Kimon C. Kanelakis, et al.. (1999). Different Regions of the Immunophilin FKBP52 Determine Its Association with the Glucocorticoid Receptor, hsp90, and Cytoplasmic Dynein. Journal of Biological Chemistry. 274(52). 36980–36986. 155 indexed citations

17.

Silverstein, Adam M., Nicholas Grammatikakis, Brent Cochran, Michael Chinkers, & William B. Pratt. (1998). p50 Binds Directly to the Catalytic Domain of Raf as Well as to a Site on hsp90 That Is Topologically Adjacent to the Tetratricopeptide Repeat Binding Site. Journal of Biological Chemistry. 273(32). 20090–20095. 101 indexed citations

18.

Silverstein, Adam M., et al.. (1997). Protein Phosphatase 5 Is a Major Component of Glucocorticoid Receptor·hsp90 Complexes with Properties of an FK506-binding Immunophilin. Journal of Biological Chemistry. 272(26). 16224–16230. 217 indexed citations

19.

Stancato, Louis F., Adam M. Silverstein, Janet Owens‐Grillo, et al.. (1997). The hsp90-binding Antibiotic Geldanamycin Decreases Raf Levels and Epidermal Growth Factor Signaling without Disrupting Formation of Signaling Complexes or Reducing the Specific Enzymatic Activity of Raf Kinase. Journal of Biological Chemistry. 272(7). 4013–4020. 175 indexed citations

20.

Stancato, Louis F., Adam M. Silverstein, Carlos Gitler, Bernd Groner, & William B. Pratt. (1996). Use of the Thiol-specific Derivatizing Agent N-Iodoacetyl-3- I iodotyrosine to Demonstrate Conformational Differences between the Unbound and hsp90-bound Glucocorticoid Receptor Hormone Binding Domain. Journal of Biological Chemistry. 271(15). 8831–8836. 37 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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