Daniel A. Harrington

6.0k total citations · 2 hit papers
78 papers, 4.7k citations indexed

About

Daniel A. Harrington is a scholar working on Molecular Biology, Surgery and Psychiatry and Mental health. According to data from OpenAlex, Daniel A. Harrington has authored 78 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 20 papers in Surgery and 16 papers in Psychiatry and Mental health. Recurrent topics in Daniel A. Harrington's work include Sexual function and dysfunction studies (16 papers), 3D Printing in Biomedical Research (11 papers) and Proteoglycans and glycosaminoglycans research (11 papers). Daniel A. Harrington is often cited by papers focused on Sexual function and dysfunction studies (16 papers), 3D Printing in Biomedical Research (11 papers) and Proteoglycans and glycosaminoglycans research (11 papers). Daniel A. Harrington collaborates with scholars based in United States, Singapore and United Kingdom. Daniel A. Harrington's co-authors include Samuel I. Stupp, Mary C. Farach‐Carson, Krista L. Niece, Catherine Czeisler, Elia Beniash, John A. Kessler, Xinqiao Jia, Xian Xu, Amit K. Jha and Carol A. Podlasek and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Daniel A. Harrington

75 papers receiving 4.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Selective Differentiation of Neural Progenitor Cells by High-Epitope Density Nanofibers

2004 1.7k citations Daniel A. Harrington, Samuel I. Stupp et al. profile →
Hyaluronic acid-based hydrogels: from a natural polysaccharide to complex networks

2012 471 citations Daniel A. Harrington, Mary C. Farach‐Carson et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel A. Harrington United States	30	2.2k	1.6k	1.3k	733	607	78	4.7k
Danielle S. W. Benoit United States	45	1.7k 0.8×	2.0k 1.3×	2.6k 1.9×	561 0.8×	784 1.3×	127	6.0k
Álvaro Mata United Kingdom	39	3.0k 1.4×	1.4k 0.9×	2.8k 2.1×	1.1k 1.5×	475 0.8×	105	6.1k
Michiya Matsusaki Japan	43	2.2k 1.0×	1.1k 0.7×	3.2k 2.4×	510 0.7×	1.0k 1.6×	249	6.2k
Michael P. Schwartz United States	34	1.2k 0.6×	1.7k 1.1×	3.1k 2.3×	404 0.6×	532 0.9×	59	6.0k
Christopher B. Rodell United States	26	1.9k 0.9×	900 0.6×	3.0k 2.2×	456 0.6×	615 1.0×	48	5.5k
Fabrizio Gelain Italy	36	2.8k 1.3×	1.7k 1.1×	1.4k 1.0×	691 0.9×	572 0.9×	77	4.6k
Julien E. Gautrot United Kingdom	36	1.2k 0.6×	1.2k 0.7×	2.3k 1.7×	918 1.3×	413 0.7×	115	5.6k
Uwe Freudenberg Germany	40	1.5k 0.7×	916 0.6×	1.9k 1.4×	198 0.3×	688 1.1×	100	4.5k
Sun‐Woong Kang South Korea	41	2.1k 1.0×	1.2k 0.8×	2.2k 1.7×	386 0.5×	1.3k 2.1×	143	5.3k
Laura J. Suggs United States	40	1.6k 0.7×	1.1k 0.7×	1.9k 1.4×	244 0.3×	1.2k 1.9×	98	4.0k

Countries citing papers authored by Daniel A. Harrington

Since Specialization

Citations

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

Fields of papers citing papers by Daniel A. Harrington

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel A. Harrington

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Harrington. A scholar is included among the top collaborators of Daniel A. Harrington 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 A. Harrington. Daniel A. Harrington 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

Deng, Jiangping, Samuel Ohlander, Danuta Dynda, et al.. (2024). BMP4 and GREM1 are targets of SHH signaling and downstream regulators of collagen in the penis. The Journal of Sexual Medicine. 21(5). 367–378. 2 indexed citations

Deng, Jiangping, Sarah A. Martin, Samuel Ohlander, et al.. (2024). SHH regulates penile morphology and smooth muscle through a mechanism involving BMP4 and GREM1. The Journal of Sexual Medicine. 21(5). 379–390. 2 indexed citations

Martin, Sarah A., Jiangping Deng, Samuel Ohlander, et al.. (2022). Sonic Hedgehog Signaling in Primary Culture of Human Corpora Cavernosal Tissue from Prostatectomy, Diabetic, and Peyronie’s Patients. The Journal of Sexual Medicine. 19(8). 1228–1242. 3 indexed citations

Pudakalakatti, Shivanand, Saleh Ramezani, Jennifer S. Davis, et al.. (2021). Hyperpolarized MRI with silicon micro and nanoparticles: Principles and applications. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 13(6). e1722–e1722. 6 indexed citations

Trubelja, Alen, F. Kurtis Kasper, Mary C. Farach‐Carson, & Daniel A. Harrington. (2021). Bringing hydrogel-based craniofacial therapies to the clinic. Acta Biomaterialia. 138. 1–20. 15 indexed citations

Lombaert, Isabelle M.A., Swati Pradhan-Bhatt, Robert L. Witt, et al.. (2021). Immunosuppressed Miniswine as a Model for Testing Cell Therapy Success: Experience With Implants of Human Salivary Stem/Progenitor Cell Constructs. Frontiers in Molecular Biosciences. 8. 711602–711602. 10 indexed citations

Pan, Tianhong, Kelsea M. Hubka, Jian H. Song, et al.. (2020). Cabozantinib Reverses Renal Cell Carcinoma–mediated Osteoblast Inhibition in Three-dimensional Coculture In Vitro and Reduces Bone Osteolysis In Vivo. Molecular Cancer Therapeutics. 19(6). 1266–1278. 11 indexed citations

Dobbs, Ryan W., et al.. (2018). Sonic hedgehog regulation of cavernous nerve regeneration and neurite formation in aged pelvic plexus. Experimental Neurology. 312. 10–19. 15 indexed citations

Peters, Edward, Ariane L. Rung, Meghan Brashear, et al.. (2017). The Women and Their Children’s Health (WaTCH) study: methods and design of a prospective cohort study in Louisiana to examine the health effects from the BP oil spill. BMJ Open. 7(7). e014887–e014887. 12 indexed citations

10.

Veliceasa, Dorina, Christopher W. Bond, Daniel A. Harrington, et al.. (2016). Sonic hedgehog delivery from self-assembled nanofiber hydrogels reduces the fibrotic response in models of erectile dysfunction. Acta Biomaterialia. 32. 89–99. 41 indexed citations

11.

Hubka, Kelsea M., et al.. (2015). Dissociative and Nondissociative Models for Culture of Human Eccrine Glands for Toxicology Testing and Tissue Engineering Applications. 1(3). 187–197. 3 indexed citations

12.

Engel, Brian J., Pamela E. Constantinou, Daniel D. Carson, et al.. (2015). Multilayered, Hyaluronic Acid‐Based Hydrogel Formulations Suitable for Automated 3D High Throughput Drug Screening of Cancer‐Stromal Cell Cocultures. Advanced Healthcare Materials. 4(11). 1664–1674. 48 indexed citations

13.

Fong, Eliza Li Shan, Jun Yang, Antonios G. Mikos, et al.. (2014). Hydrogel-Based 3D Model of Patient-Derived Prostate Xenograft Tumors Suitable for Drug Screening. Molecular Pharmaceutics. 11(7). 2040–2050. 71 indexed citations

14.

Xu, Xian, Lisa A. Gurski, Chu Zhang, et al.. (2012). Recreating the tumor microenvironment in a bilayer, hyaluronic acid hydrogel construct for the growth of prostate cancer spheroids. Biomaterials. 33(35). 9049–9060. 110 indexed citations

15.

Stewart, Robert D., et al.. (2010). An improved in vivo method for atrioventricular node ablation via thoracotomy. Brazilian Journal of Medical and Biological Research. 43(2). 206–210. 2 indexed citations

16.

Sharma, Arun K., et al.. (2009). Do current bladder smooth muscle cell isolation procedures result in a homogeneous cell population? Implications for bladder tissue engineering. World Journal of Urology. 27(5). 687–694. 5 indexed citations

17.

Harrington, Daniel A., Heather A. Behanna, Gregory N. Tew, Randal C. Claussen, & Samuel I. Stupp. (2005). Supramolecular Fluorophores for Biological Studies: Phenylene Vinylene-Amino Acid Amphiphiles. Chemistry & Biology. 12(10). 1085–1091. 10 indexed citations

18.

Beqaj, Safedin, et al.. (2005). ROLE OF BASIC FIBROBLAST GROWTH FACTOR IN THE NEUROPATHIC BLADDER PHENOTYPE. The Journal of Urology. 174(4 Part 2). 1699–1703. 26 indexed citations

19.

Hwang, Julia J., et al.. (2002). Self-assembling biomaterials: Liquid crystal phases of cholesteryl oligo(l-lactic acid) and their interactions with cells. Proceedings of the National Academy of Sciences. 99(15). 9662–9667. 123 indexed citations

20.

Harrington, Daniel A., et al.. (1998). Similarities between exercise capacity and ventilation in patients with mitochondrial myopathy and chronic heart failure. Journal of the American College of Cardiology. 31. 331–331.

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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