DE Mager

470 total citations
8 papers, 370 citations indexed

About

DE Mager is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, DE Mager has authored 8 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in DE Mager's work include Monoclonal and Polyclonal Antibodies Research (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Glycosylation and Glycoproteins Research (1 paper). DE Mager is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Glycosylation and Glycoproteins Research (1 paper). DE Mager collaborates with scholars based in United States, Switzerland and Australia. DE Mager's co-authors include Victor Crentsil, E. M. Simonsick, B. Gwen Windham, DR Abernethy, L. P. Fried, Sarah N. Hilmer, Sevil Yaşar, Saroja Ramanujan, Kapil Gadkar and Daniel C. Kirouac and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Pharmacology & Therapeutics and Drug Metabolism and Disposition.

In The Last Decade

DE Mager

8 papers receiving 351 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
DE Mager United States	7	118	116	83	51	40	8	370
Enrique Rodríguez–Borja Spain	13	78 0.7×	120 1.0×	262 3.2×	20 0.4×	75 1.9×	42	614
Jonathan A. Batty United Kingdom	13	48 0.4×	63 0.5×	223 2.7×	10 0.2×	61 1.5×	25	417
Iris Postmus Netherlands	14	72 0.6×	33 0.3×	60 0.7×	6 0.1×	66 1.6×	18	483
James C. Lee United States	12	68 0.6×	44 0.4×	137 1.7×	11 0.2×	23 0.6×	26	360
Ryogo Umetsu Japan	13	42 0.4×	27 0.2×	49 0.6×	4 0.1×	19 0.5×	21	467
Yamato Kato Japan	13	33 0.3×	28 0.2×	48 0.6×	4 0.1×	18 0.5×	25	423
Jiexun Wang Singapore	14	63 0.5×	26 0.2×	85 1.0×	4 0.1×	6 0.1×	37	467
Irina Irincheeva Switzerland	9	154 1.3×	13 0.1×	23 0.3×	56 1.1×	4 0.1×	19	409
Valérie Gras France	11	57 0.5×	56 0.5×	35 0.4×	2 0.0×	28 0.7×	29	371
Jun‐Ting Liou Taiwan	14	108 0.9×	7 0.1×	188 2.3×	8 0.2×	16 0.4×	33	592

Countries citing papers authored by DE Mager

Since Specialization

Citations

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

Fields of papers citing papers by DE Mager

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by DE Mager. 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 DE Mager. The network helps show where DE Mager may publish in the future.

Co-authorship network of co-authors of DE Mager

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

All Works

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8 of 8 papers shown

Veerabathiran, Ramakrishnan, Qing Yang, Yanguang Cao, et al.. (2016). Physiologically-Based Pharmacokinetic-Pharmacodynamic Modeling of 1α,25-Dihydroxyvitamin D3 in Mice. Drug Metabolism and Disposition. 44(2). 189–208. 13 indexed citations

Gadkar, Kapil, et al.. (2016). A Six‐Stage Workflow for Robust Application of Systems Pharmacology. CPT Pharmacometrics & Systems Pharmacology. 5(5). 235–249. 66 indexed citations

Ait‐Oudhia, Sihem, DE Mager, Venkata K. Pokuri, et al.. (2016). Bridging Sunitinib Exposure to Time‐to‐Tumor Progression in Hepatocellular Carcinoma Patients With Mathematical Modeling of an Angiogenic Biomarker. CPT Pharmacometrics & Systems Pharmacology. 5(6). 297–304. 8 indexed citations

Ait‐Oudhia, Sihem, Philip J. Lowe, & DE Mager. (2012). Bridging Clinical Outcomes of Canakinumab Treatment in Patients With Rheumatoid Arthritis With a Population Model of IL‐1β Kinetics. CPT Pharmacometrics & Systems Pharmacology. 1(9). 1–10. 25 indexed citations

Fetterly, Gerald J., Thomas A. Puchalski, Chris H. Takimoto, et al.. (2010). Utilizing mechanistic PK/PD modeling to simultaneously examine free CCL2, total CCL2, and CNTO 888 serum concentration time data.. Journal of Clinical Oncology. 28(15_suppl). 3029–3029. 2 indexed citations

Mager, DE, et al.. (2008). Development of Translational Pharmacokinetic–Pharmacodynamic Models. Clinical Pharmacology & Therapeutics. 83(6). 909–912. 94 indexed citations

Hong, Ying, Jasper Dingemanse, & DE Mager. (2008). Pharmacokinetic/Pharmacodynamic Modeling of Renin Biomarkers in Subjects Treated With the Renin Inhibitor Aliskiren. Clinical Pharmacology & Therapeutics. 84(1). 136–143. 17 indexed citations

Mager, DE, E. M. Simonsick, Sarah N. Hilmer, et al.. (2007). Physical and Cognitive Performance and Burden of Anticholinergics, Sedatives, and ACE Inhibitors in Older Women. Clinical Pharmacology & Therapeutics. 83(3). 422–429. 145 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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