Dan E. Meyer

4.6k total citations · 1 hit paper
25 papers, 3.7k citations indexed

About

Dan E. Meyer is a scholar working on Genetics, Biomaterials and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dan E. Meyer has authored 25 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 8 papers in Biomaterials and 7 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dan E. Meyer's work include Connective tissue disorders research (11 papers), Advanced MRI Techniques and Applications (4 papers) and MRI in cancer diagnosis (3 papers). Dan E. Meyer is often cited by papers focused on Connective tissue disorders research (11 papers), Advanced MRI Techniques and Applications (4 papers) and MRI in cancer diagnosis (3 papers). Dan E. Meyer collaborates with scholars based in United States, Germany and India. Dan E. Meyer's co-authors include Ashutosh Chilkoti, Matthew R. Dreher, Dražen Raucher, Garheng Kong, Mark W. Dewhirst, Byung-Cheol Shin, Lori A. Setton, Michael R. Zalutsky, W J Gehring and Emanuel Donchin and has published in prestigious journals such as Advanced Materials, Nature Biotechnology and Advanced Drug Delivery Reviews.

In The Last Decade

Dan E. Meyer

24 papers receiving 3.6k citations

Hit Papers

Purification of recombinant proteins by fusion with therm... 1999 2026 2008 2017 1999 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan E. Meyer United States 17 1.6k 1.3k 1.2k 821 458 25 3.7k
Dražen Raucher United States 32 1.1k 0.7× 829 0.7× 2.1k 1.8× 831 1.0× 203 0.4× 72 4.3k
Jonathan R. McDaniel United States 29 1.3k 0.8× 647 0.5× 945 0.8× 635 0.8× 124 0.3× 49 2.8k
Keiji Itaka Japan 45 1.6k 1.0× 1.1k 0.9× 4.3k 3.7× 1.2k 1.5× 126 0.3× 102 6.2k
Ji Sun Park South Korea 35 1.4k 0.9× 272 0.2× 1.4k 1.2× 1.3k 1.6× 256 0.6× 153 4.8k
Élisabeth Garanger France 31 1.2k 0.8× 323 0.3× 1.1k 1.0× 777 0.9× 121 0.3× 76 2.8k
Yuichi Yamasaki Japan 41 1.8k 1.1× 626 0.5× 3.4k 2.9× 1.1k 1.3× 163 0.4× 93 5.7k
Chien‐Wen Chang Taiwan 32 968 0.6× 285 0.2× 1.3k 1.1× 1.2k 1.5× 244 0.5× 67 3.0k
W.T. Godbey United States 18 877 0.6× 1.5k 1.2× 3.5k 3.0× 783 1.0× 166 0.4× 38 4.7k
Miriam Breunig Germany 24 837 0.5× 623 0.5× 2.3k 2.0× 691 0.8× 76 0.2× 53 3.4k
Grégory De Crescenzo Canada 34 837 0.5× 214 0.2× 2.0k 1.7× 845 1.0× 172 0.4× 137 3.8k

Countries citing papers authored by Dan E. Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Dan E. Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dan E. Meyer. 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 Dan E. Meyer. The network helps show where Dan E. Meyer may publish in the future.

Co-authorship network of co-authors of Dan E. Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Dan E. Meyer. A scholar is included among the top collaborators of Dan E. Meyer 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 Dan E. Meyer. Dan E. Meyer 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.
Sun, Yuxin, Peter J. Bonitatibus, Cheng William Hong, et al.. (2025). Performance of an Intravascular Tantalum Oxide–Based Nanoparticle Computed Tomography Contrast Agent in Preclinical Hepatic Tumor Detection. Investigative Radiology. 60(12). 847–854.
2.
Sun, Yuxin, Clemens C. Cyran, Peter J. Bonitatibus, et al.. (2024). Novel intravascular tantalum oxide-based contrast agent achieves improved vascular contrast enhancement and conspicuity compared to Iopamidol in an animal multiphase CT protocol. European Radiology Experimental. 8(1). 108–108. 4 indexed citations
3.
Nolan, Matthew, Connor Scott, Daniel Lunn, et al.. (2020). Quantitative patterns of motor cortex proteinopathy across ALS genotypes. Acta Neuropathologica Communications. 8(1). 98–98. 31 indexed citations
4.
Pai, Amy Barton, Manjunath P. Pai, Dan E. Meyer, et al.. (2018). In vitro and in vivo DFO-chelatable labile iron release profiles among commercially available intravenous iron nanoparticle formulations. Regulatory Toxicology and Pharmacology. 97. 17–23. 6 indexed citations
5.
Kim, Jana, Eugene Kim, Leslie R. Euceda, et al.. (2017). Multiparametric characterization of response to anti‐angiogenic therapy using USPIO contrast‐enhanced MRI in combination with dynamic contrast‐enhanced MRI. Journal of Magnetic Resonance Imaging. 47(6). 1589–1600. 11 indexed citations
6.
Chowdhury, Aritra, Dmitry V. Dylov, Qing Li, et al.. (2017). Blood vessel characterization using virtual 3D models and convolutional neural networks in fluorescence microscopy. 629–632. 4 indexed citations
7.
Gyanchandani, Rekha, Yousef Al‐Kofahi, Andrew M. Stern, et al.. (2016). Pointwise mutual information quantifies intratumor heterogeneity in tissue sections labeled with multiple fluorescent biomarkers. Journal of Pathology Informatics. 7(1). 47–47. 16 indexed citations
8.
Shi, Qiaoyun, Laura Pisani, Solomon Messing, et al.. (2013). Evaluation of the novel USPIO GEH121333 for MR imaging of cancer immune responses. Contrast Media & Molecular Imaging. 8(3). 281–288. 20 indexed citations
9.
Dixon, W. Thomas, Daniel J. Blezek, Dan E. Meyer, et al.. (2009). Estimating amounts of iron oxide from gradient echo images. Magnetic Resonance in Medicine. 61(5). 1132–1136. 15 indexed citations
10.
Meyer, Dan E., et al.. (2004). Effect of protein fusion on the transition temperature of an environmentally responsive elastin-like polypeptide: a role for surface hydrophobicity?. Protein Engineering Design and Selection. 17(1). 57–66. 133 indexed citations
11.
Meyer, Dan E. & Ashutosh Chilkoti. (2004). Quantification of the Effects of Chain Length and Concentration on the Thermal Behavior of Elastin-like Polypeptides. Biomacromolecules. 5(3). 846–851. 448 indexed citations
12.
Chilkoti, Ashutosh, Matthew R. Dreher, & Dan E. Meyer. (2002). Design of thermally responsive, recombinant polypeptide carriers for targeted drug delivery. Advanced Drug Delivery Reviews. 54(8). 1093–1111. 220 indexed citations
13.
Chilkoti, Ashutosh, Matthew R. Dreher, Dan E. Meyer, & Dražen Raucher. (2002). Targeted drug delivery by thermally responsive polymers. Advanced Drug Delivery Reviews. 54(5). 613–630. 456 indexed citations
14.
Rao, G. V. Rama, Subramanian Balamurugan, Dan E. Meyer, Ashutosh Chilkoti, & Gabriel P. López. (2002). Hybrid Bioinorganic Smart Membranes That Incorporate Protein-Based Molecular Switches. Langmuir. 18(5). 1819–1824. 28 indexed citations
15.
Setton, Lori A., et al.. (2002). Characterization of a Genetically Engineered Elastin-like Polypeptide for Cartilaginous Tissue Repair. Biomacromolecules. 3(5). 910–916. 212 indexed citations
17.
Meyer, Dan E., Byung-Cheol Shin, Garheng Kong, Mark W. Dewhirst, & Ashutosh Chilkoti. (2001). Drug targeting using thermally responsive polymers and local hyperthermia. Journal of Controlled Release. 74(1-3). 213–224. 339 indexed citations
19.
Meyer, Dan E. & Ashutosh Chilkoti. (1999). Purification of recombinant proteins by fusion with thermally-responsive polypeptides. Nature Biotechnology. 17(11). 1112–1115. 759 indexed citations breakdown →
20.
Gehring, W J, et al.. (1995). A brain potential manifestation of error-related processing.. PubMed. 44. 261–72. 121 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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