Daniel J. Callahan

1.0k total citations
8 papers, 860 citations indexed

About

Daniel J. Callahan is a scholar working on Biomedical Engineering, Biomaterials and Genetics. According to data from OpenAlex, Daniel J. Callahan has authored 8 papers receiving a total of 860 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biomedical Engineering, 5 papers in Biomaterials and 3 papers in Genetics. Recurrent topics in Daniel J. Callahan's work include Elasticity and Material Modeling (3 papers), Connective tissue disorders research (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). Daniel J. Callahan is often cited by papers focused on Elasticity and Material Modeling (3 papers), Connective tissue disorders research (3 papers) and Nanoparticle-Based Drug Delivery (2 papers). Daniel J. Callahan collaborates with scholars based in United States and Japan. Daniel J. Callahan's co-authors include Ashutosh Chilkoti, Jonathan R. McDaniel, Sarah R. MacEwan, J. Andrew MacKay, Wenge Liu, Felipe García Quiroz, Michael R. Zalutsky, Matthew R. Dreher, Miriam Amiram and Yuling Li and has published in prestigious journals such as Nature Materials, Nano Letters and Biomaterials.

In The Last Decade

Daniel J. Callahan

8 papers receiving 849 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Callahan United States 8 465 316 278 239 77 8 860
Zaki Megeed United States 16 615 1.3× 475 1.5× 266 1.0× 205 0.9× 95 1.2× 18 1.3k
Jayanta Bhattacharyya India 18 539 1.2× 513 1.6× 161 0.6× 338 1.4× 43 0.6× 60 1.3k
Isaac Weitzhandler United States 13 477 1.0× 367 1.2× 184 0.7× 209 0.9× 25 0.3× 16 829
Michael Dzuricky United States 17 492 1.1× 748 2.4× 267 1.0× 212 0.9× 31 0.4× 21 1.3k
Ana M. Testera Spain 14 478 1.0× 134 0.4× 389 1.4× 243 1.0× 71 0.9× 22 791
Stefan Roberts United States 13 365 0.8× 611 1.9× 249 0.9× 197 0.8× 44 0.6× 20 1.1k
Shirong Pan China 20 367 0.8× 707 2.2× 205 0.7× 209 0.9× 38 0.5× 49 1.2k
Hye Yeong Nam South Korea 20 284 0.6× 784 2.5× 279 1.0× 171 0.7× 32 0.4× 28 1.2k
Cor J. Snel Netherlands 14 458 1.0× 579 1.8× 143 0.5× 212 0.9× 44 0.6× 15 1.0k
Virginia Reboto Spain 11 298 0.6× 100 0.3× 246 0.9× 127 0.5× 60 0.8× 11 561

Countries citing papers authored by Daniel J. Callahan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Callahan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel J. Callahan

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

All Works

8 of 8 papers shown
1.
Callahan, Daniel J., Bradford Stanley, & Yuling Li. (2014). Control of Protein Particle Formation During Ultrafiltration/Diafiltration Through Interfacial Protection. Journal of Pharmaceutical Sciences. 103(3). 862–869. 39 indexed citations
2.
Asai, Daisuke, Donghua Xu, Wenge Liu, et al.. (2012). Protein polymer hydrogels by in situ, rapid and reversible self-gelation. Biomaterials. 33(21). 5451–5458. 100 indexed citations
3.
Callahan, Daniel J., Wenge Liu, Xinghai Li, et al.. (2012). Triple Stimulus-Responsive Polypeptide Nanoparticles That Enhance Intratumoral Spatial Distribution. Nano Letters. 12(4). 2165–2170. 95 indexed citations
4.
Amiram, Miriam, Felipe García Quiroz, Daniel J. Callahan, & Ashutosh Chilkoti. (2011). A highly parallel method for synthesizing DNA repeats enables the discovery of ‘smart’ protein polymers. Nature Materials. 10(2). 141–148. 80 indexed citations
5.
McDaniel, Jonathan R., Daniel J. Callahan, & Ashutosh Chilkoti. (2010). Drug delivery to solid tumors by elastin-like polypeptides. Advanced Drug Delivery Reviews. 62(15). 1456–1467. 172 indexed citations
6.
Liu, Wenge, J. Andrew MacKay, Matthew R. Dreher, et al.. (2010). Injectable intratumoral depot of thermally responsive polypeptide–radionuclide conjugates delays tumor progression in a mouse model. Journal of Controlled Release. 144(1). 2–9. 81 indexed citations
7.
MacEwan, Sarah R., Daniel J. Callahan, & Ashutosh Chilkoti. (2010). Stimulus-Responsive Macromolecules and Nanoparticles for Cancer Drug Delivery. Nanomedicine. 5(5). 793–806. 166 indexed citations
8.
MacKay, J. Andrew, et al.. (2010). Quantitative Model of the Phase Behavior of Recombinant pH-Responsive Elastin-Like Polypeptides. Biomacromolecules. 11(11). 2873–2879. 127 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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