Jason T. Rodier

453 total citations
17 papers, 370 citations indexed

About

Jason T. Rodier is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Ophthalmology. According to data from OpenAlex, Jason T. Rodier has authored 17 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Molecular Biology and 3 papers in Ophthalmology. Recurrent topics in Jason T. Rodier's work include Corneal Surgery and Treatments (12 papers), Corneal surgery and disorders (6 papers) and RNA Interference and Gene Delivery (5 papers). Jason T. Rodier is often cited by papers focused on Corneal Surgery and Treatments (12 papers), Corneal surgery and disorders (6 papers) and RNA Interference and Gene Delivery (5 papers). Jason T. Rodier collaborates with scholars based in United States, India and Australia. Jason T. Rodier's co-authors include Rajiv R. Mohan, Ajay Sharma, Ashish Tandon, Prashant R. Sinha, Alexander M. Klibanov, Suneel Gupta, Elizabeth A. Giuliano, Nathan P. Hesemann, Arkasubhra Ghosh and Shyam S. Chaurasia and has published in prestigious journals such as PLoS ONE, Annals of the New York Academy of Sciences and Investigative Ophthalmology & Visual Science.

In The Last Decade

Jason T. Rodier

17 papers receiving 367 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason T. Rodier United States	10	250	150	118	55	46	17	370
Prashant R. Sinha United States	12	236 0.9×	164 1.1×	117 1.0×	43 0.8×	58 1.3×	34	415
Nathan P. Hesemann United States	12	251 1.0×	118 0.8×	123 1.0×	36 0.7×	77 1.7×	24	381
Nishant R. Sinha United States	12	192 0.8×	119 0.8×	82 0.7×	28 0.5×	82 1.8×	38	364
Jonathan Tovey United States	6	223 0.9×	181 1.2×	70 0.6×	90 1.6×	51 1.1×	10	341
Eleonora Maurizi Italy	11	167 0.7×	210 1.4×	79 0.7×	60 1.1×	24 0.5×	20	368
Caitlin M. Logan United States	10	81 0.3×	182 1.2×	70 0.6×	13 0.2×	47 1.0×	16	336
Lawrence J. Blacik United States	5	140 0.6×	73 0.5×	97 0.8×	25 0.5×	101 2.2×	8	319
Rima Mendonsa United States	7	99 0.4×	151 1.0×	48 0.4×	23 0.4×	15 0.3×	7	285
Gysbert‐Botho van Setten Sweden	12	246 1.0×	49 0.3×	273 2.3×	11 0.2×	138 3.0×	20	439
Yaa‐Jyuhn James Meir Taiwan	10	67 0.3×	162 1.1×	34 0.3×	58 1.1×	50 1.1×	27	280

Countries citing papers authored by Jason T. Rodier

Since Specialization

Citations

This map shows the geographic impact of Jason T. Rodier'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 Jason T. Rodier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jason T. Rodier more than expected).

Fields of papers citing papers by Jason T. Rodier

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason T. Rodier. 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 Jason T. Rodier. The network helps show where Jason T. Rodier may publish in the future.

Co-authorship network of co-authors of Jason T. Rodier

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

All Works

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17 of 17 papers shown

1.

Gupta, Suneel, Nishant R. Sinha, Lynn M. Martin, et al.. (2021). Long-Term Safety and Tolerability of BMP7 and HGF Gene Overexpression in Rabbit Cornea. Translational Vision Science & Technology. 10(10). 6–6. 9 indexed citations

2.

Gupta, Suneel, et al.. (2021). Glutathione is a potential therapeutic target for acrolein toxicity in the cornea. Toxicology Letters. 340. 33–42. 18 indexed citations

3.

Gupta, Suneel, Lynn M. Martin, Prashant R. Sinha, et al.. (2020). A rabbit model for evaluating ocular damage from acrolein toxicity in vivo. Annals of the New York Academy of Sciences. 1480(1). 233–245. 13 indexed citations

4.

Tripathi, Ratnakar, Praveen Kumar Balne, Nishant R. Sinha, et al.. (2020). A Novel Topical Ophthalmic Formulation to Mitigate Acute Mustard Gas Keratopathy In Vivo: A Pilot Study. Translational Vision Science & Technology. 9(12). 6–6. 21 indexed citations

5.

Rodier, Jason T., Ratnakar Tripathi, Michael Fink, et al.. (2019). Linear Polyethylenimine-DNA Nanoconstruct for Corneal Gene Delivery. Journal of Ocular Pharmacology and Therapeutics. 35(1). 23–31. 24 indexed citations

6.

Mohan, Rajiv R., Ratnakar Tripathi, Praveen Kumar Balne, et al.. (2019). MyoD gene silencing promotes corneal fibroblast de-differentiation and reverses fibrosis. Investigative Ophthalmology & Visual Science. 60(9). 5250–5250. 1 indexed citations

7.

Tripathi, Ratnakar, Elizabeth A. Giuliano, Suneel Gupta, et al.. (2019). Is sex a biological variable in corneal wound healing?. Experimental Eye Research. 187. 107705–107705. 22 indexed citations

8.

Gupta, Suneel, Jason T. Rodier, Ajay Sharma, et al.. (2017). Targeted AAV5-Smad7 gene therapy inhibits corneal scarring in vivo. PLoS ONE. 12(3). e0172928–e0172928. 69 indexed citations

9.

Mohan, Rajiv R., Ashish Tandon, Ajay Sharma, et al.. (2014). Pirfenidone potential for treating corneal fibrosis. Investigative Ophthalmology & Visual Science. 55(13). 5146–5146. 2 indexed citations

10.

Fink, Michael, Ajay Sharma, Jonathan Tovey, et al.. (2013). Molecular mechanism of corneal neovascularization inhibition by decorin therapy. Investigative Ophthalmology & Visual Science. 54(15). 1305–1305. 1 indexed citations

11.

Rodier, Jason T., et al.. (2013). RNAi Gene Silencing Of TGF-beta Signaling: A Powerful Approach To Control Corneal Fibrosis. Investigative Ophthalmology & Visual Science. 54(15). 5241–5241. 1 indexed citations

12.

Mohan, Rajiv R., Jason T. Rodier, & Ajay Sharma. (2013). Corneal Gene Therapy: Basic Science and Translational Perspective. The Ocular Surface. 11(3). 150–164. 47 indexed citations

13.

Tandon, Ashish, et al.. (2013). BMP7 Gene Transfer via Gold Nanoparticles into Stroma Inhibits Corneal Fibrosis In Vivo. PLoS ONE. 8(6). e66434–e66434. 91 indexed citations

14.

Giuliano, Elizabeth A., et al.. (2013). Decorin‐PEI nanoconstruct attenuates equine corneal fibroblast differentiation. Veterinary Ophthalmology. 17(3). 162–169. 24 indexed citations

15.

Sharma, Ajay, Jason T. Rodier, Ashish Tandon, Alexander M. Klibanov, & Rajiv R. Mohan. (2012). Attenuation of corneal myofibroblast development through nanoparticle-mediated soluble transforming growth factor-β type II receptor (sTGFβRII) gene transfer. Chapman University Digital Commons (Chapman University). 1 indexed citations

16.

Tandon, Ashish, Ajay Sharma, Jonathan Tovey, et al.. (2012). Bone Morphogenic Protein-7 (BMP7) Gene Therapy Inhibits Fibrosis by Up-regulating Smad1/5/8 in Rabbit Cornea in vivo. Investigative Ophthalmology & Visual Science. 53(14). 1086–1086. 1 indexed citations

17.

Sharma, Ajay, Jason T. Rodier, Ashish Tandon, Alexander M. Klibanov, & Rajiv R. Mohan. (2012). Attenuation of corneal myofibroblast development through nanoparticle-mediated soluble transforming growth factor-β type II receptor (sTGFβRII) gene transfer.. PubMed. 18. 2598–607. 25 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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