Robert J. Nadeau

565 total citations
17 papers, 442 citations indexed

About

Robert J. Nadeau is a scholar working on Molecular Biology, Pharmacology and Epidemiology. According to data from OpenAlex, Robert J. Nadeau has authored 17 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Pharmacology and 3 papers in Epidemiology. Recurrent topics in Robert J. Nadeau's work include Fibroblast Growth Factor Research (6 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers) and Kruppel-like factors research (3 papers). Robert J. Nadeau is often cited by papers focused on Fibroblast Growth Factor Research (6 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers) and Kruppel-like factors research (3 papers). Robert J. Nadeau collaborates with scholars based in United States and Japan. Robert J. Nadeau's co-authors include Robert Friesel, Xuehui Yang, Д. В. Коваленко, Lucy Liaw, Pei‐Yu Chen, Christine F. O’Neill, Sumithra Urs, Christina Cinelli, Jane Mitchell and Anne Harrington and has published in prestigious journals such as Journal of Biological Chemistry, Arteriosclerosis Thrombosis and Vascular Biology and Developmental Biology.

In The Last Decade

Robert J. Nadeau

14 papers receiving 439 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert J. Nadeau United States 9 372 91 60 59 38 17 442
Beatriz del Valle‐Pérez Spain 13 426 1.1× 73 0.8× 130 2.2× 46 0.8× 46 1.2× 14 522
Dmitry Shaposhnikov Germany 10 374 1.0× 59 0.6× 72 1.2× 97 1.6× 25 0.7× 11 469
Xu-Yu Yang United States 13 340 0.9× 122 1.3× 72 1.2× 118 2.0× 34 0.9× 23 434
Xiaochun Chi China 11 275 0.7× 63 0.7× 106 1.8× 37 0.6× 35 0.9× 14 381
Zackie Aktary France 11 293 0.8× 96 1.1× 112 1.9× 54 0.9× 17 0.4× 20 403
I‐Hua Liu United States 9 216 0.6× 87 1.0× 84 1.4× 53 0.9× 23 0.6× 13 357
Nina Goerner Spain 3 499 1.3× 118 1.3× 139 2.3× 73 1.2× 34 0.9× 3 595
Chiou-Nan Shiue Sweden 6 445 1.2× 122 1.3× 42 0.7× 76 1.3× 19 0.5× 6 509
Moon-Chang Choi South Korea 9 379 1.0× 90 1.0× 58 1.0× 54 0.9× 17 0.4× 11 456
David Casagolda Spain 6 321 0.9× 65 0.7× 102 1.7× 40 0.7× 27 0.7× 7 380

Countries citing papers authored by Robert J. Nadeau

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Nadeau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert J. Nadeau

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

All Works

17 of 17 papers shown
1.
Abulwerdi, Gelareh, Hillary Brenda Nguyen, Elizabeth A. Hahn, et al.. (2025). Pediatric Developmental Drug Toxicity: Description of Juvenile Animal Studies in US FDA Prescribing Information and Assessing the Need for New Approach Methodologies. The Journal of Clinical Pharmacology. 65(9). 1150–1156. 1 indexed citations
2.
Smith, Darren M., Robert J. Nadeau, Diana Caridha, et al.. (2024). Plerixafor for pathogen‐agnostic treatment in murine thigh infection and zebrafish sepsis. Clinical and Translational Science. 17(7). e13876–e13876.
3.
Nadeau, Robert J., et al.. (2023). Beta-Lactam Probability of Target Attainment Success: Cefepime as a Case Study. Antibiotics. 12(3). 444–444.
4.
Nadeau, Robert J., et al.. (2023). Systematic Review and Meta-Analysis of the Effect of Loop Diuretics on Antibiotic Pharmacokinetics. Pharmaceutics. 15(5). 1411–1411. 2 indexed citations
5.
Pavlović, Radmila, Yonas A. Alamneh, Chau Vuong, et al.. (2023). Impact of Blast Overpressure on the Pharmacokinetics of Various Antibiotics in Sprague Dawley Rats. Military Medicine. 188(Supplement_6). 271–279.
6.
Chung, Kevin K., et al.. (2022). Pharmacokinetics of piperacillin and tazobactam in critically Ill patients treated with continuous kidney replacement therapy: A mini‐review and population pharmacokinetic analysis. Journal of Clinical Pharmacy and Therapeutics. 47(8). 1091–1102. 8 indexed citations
7.
Nadeau, Robert J., et al.. (2014). Promoter trapping method: transcription factor purification using human telomerase reverse transcriptase promoter. Proteome Science. 12(1). 53–53. 1 indexed citations
8.
Raghunathan, Rekha, Swetha Mahesula, Robert J. Nadeau, et al.. (2013). Anti‐CRLF2 Antibody‐Armored Biodegradable Nanoparticles for Childhood B‐ALL. Particle & Particle Systems Characterization. 30(4). 355–364. 7 indexed citations
9.
Nadeau, Robert J., et al.. (2013). Purification and characterization of transcription factors. Mass Spectrometry Reviews. 32(5). 386–398. 8 indexed citations
10.
Yang, Xuehui, Anne Harrington, Д. В. Коваленко, et al.. (2008). Overexpression of Spry1 in chondrocytes causes attenuated FGFR ubiquitination and sustained ERK activation resulting in chondrodysplasia. Developmental Biology. 321(1). 64–76. 29 indexed citations
11.
Abid, M. Ruhul, Robert J. Nadeau, Katherine Spokes, et al.. (2008). Hepatocyte Growth Factor Inhibits VEGF-Forkhead–Dependent Gene Expression in Endothelial Cells. Arteriosclerosis Thrombosis and Vascular Biology. 28(11). 2042–2048. 13 indexed citations
12.
O’Neill, Christine F., Sumithra Urs, Christina Cinelli, et al.. (2007). Notch2 Signaling Induces Apoptosis and Inhibits Human MDA-MB-231 Xenograft Growth. American Journal Of Pathology. 171(3). 1023–1036. 98 indexed citations
13.
Nadeau, Robert J., et al.. (2006). Regulation of Sprouty2 stability by mammalian Seven‐in‐Absentia homolog 2. Journal of Cellular Biochemistry. 100(1). 151–160. 65 indexed citations
14.
Yang, Xuehui, et al.. (2006). Sprouty Genes Are Expressed in Osteoblasts and Inhibit Fibroblast Growth Factor-Mediated Osteoblast Responses. Calcified Tissue International. 78(4). 233–240. 21 indexed citations
15.
Коваленко, Д. В., et al.. (2006). A role for extracellular and transmembrane domains of Sef in Sef-mediated inhibition of FGF signaling. Cellular Signalling. 18(11). 1958–1966. 32 indexed citations
16.
Yang, Xuehui, Д. В. Коваленко, Robert J. Nadeau, et al.. (2004). Sef Interacts with TAK1 and Mediates JNK Activation and Apoptosis. Journal of Biological Chemistry. 279(37). 38099–38102. 33 indexed citations
17.
Коваленко, Д. В., et al.. (2003). Sef Inhibits Fibroblast Growth Factor Signaling by Inhibiting FGFR1 Tyrosine Phosphorylation and Subsequent ERK Activation. Journal of Biological Chemistry. 278(16). 14087–14091. 124 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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