Jordan J. Green

15.1k total citations · 3 hit papers
216 papers, 11.9k citations indexed

About

Jordan J. Green is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Jordan J. Green has authored 216 papers receiving a total of 11.9k indexed citations (citations by other indexed papers that have themselves been cited), including 149 papers in Molecular Biology, 49 papers in Genetics and 34 papers in Immunology. Recurrent topics in Jordan J. Green's work include RNA Interference and Gene Delivery (113 papers), Advanced biosensing and bioanalysis techniques (66 papers) and Virus-based gene therapy research (45 papers). Jordan J. Green is often cited by papers focused on RNA Interference and Gene Delivery (113 papers), Advanced biosensing and bioanalysis techniques (66 papers) and Virus-based gene therapy research (45 papers). Jordan J. Green collaborates with scholars based in United States, China and United Kingdom. Jordan J. Green's co-authors include Stephany Y. Tzeng, Joel Sunshine, Daniel G. Anderson, Róbert Langer, David R. Wilson, Randall A. Meyer, Jennifer H. Elisseeff, Kristen Kozielski, Corey J. Bishop and Yuan Rui and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Jordan J. Green

209 papers receiving 11.8k citations

Hit Papers

align trajectories sort by overperformance

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.

Bone Morphogenetic Protein (BMP) signaling in development and human diseases

2014 734 citations Jordan J. Green et al. profile →
Hypoxia-inducible factors and RAB22A mediate formation of microvesicles that stimulate breast cancer invasion and metastasis

2014 412 citations Ting Wang, Daniele M. Gilkes et al. Proceedings of the National Academy of Sciences profile →
Mimicking biological functionality with polymers for biomedical applications

2016 402 citations Jordan J. Green et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jordan J. Green United States	60	7.6k	3.0k	2.5k	1.8k	1.7k	216	11.9k
Suzie H. Pun United States	57	7.5k 1.0×	3.0k 1.0×	2.8k 1.1×	1.7k 1.0×	1.5k 0.9×	168	12.2k
Qiaobing Xu United States	58	6.2k 0.8×	4.2k 1.4×	2.3k 0.9×	1.1k 0.6×	751 0.5×	153	12.1k
Ung‐il Chung Japan	68	6.6k 0.9×	3.6k 1.2×	2.3k 1.0×	1.4k 0.8×	472 0.3×	317	17.5k
Wadih Arap United States	66	10.4k 1.4×	2.2k 0.7×	2.1k 0.8×	1.8k 1.0×	1.8k 1.1×	234	18.3k
Renata Pasqualini United States	69	12.0k 1.6×	2.4k 0.8×	2.4k 1.0×	2.1k 1.2×	2.1k 1.3×	243	20.5k
Daniel J. Siegwart United States	51	7.3k 1.0×	2.2k 0.7×	2.6k 1.1×	1.4k 0.8×	1.2k 0.7×	98	12.1k
Jean‐Luc Coll France	54	4.6k 0.6×	2.4k 0.8×	1.7k 0.7×	949 0.5×	614 0.4×	252	10.0k
Hasan Uludağ Canada	53	4.4k 0.6×	3.3k 1.1×	2.3k 0.9×	980 0.6×	405 0.2×	237	9.5k
Christian Plank Germany	53	7.0k 0.9×	2.4k 0.8×	2.2k 0.9×	2.7k 1.5×	726 0.4×	186	11.1k
Timo L.M. ten Hagen Netherlands	49	3.6k 0.5×	3.1k 1.0×	2.7k 1.1×	435 0.2×	1.4k 0.9×	212	8.8k

Countries citing papers authored by Jordan J. Green

Since Specialization

Citations

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

Fields of papers citing papers by Jordan J. Green

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jordan J. Green

This figure shows the co-authorship network connecting the top 25 collaborators of Jordan J. Green. A scholar is included among the top collaborators of Jordan J. Green 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 Jordan J. Green. Jordan J. Green 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

Luly, Kathryn M, Amanda Johnson, T. Taylor, et al.. (2025). Multipronged SMAD pathway targeting by lipophilic poly(β-amino ester) miR-590-3p nanomiRs inhibits mesenchymal glioblastoma growth and prolongs survival. Signal Transduction and Targeted Therapy. 10(1). 145–145. 2 indexed citations

Est‐Witte, Savannah, Shuyi Li, Sarah Y. Neshat, et al.. (2024). Alginate-based artificial antigen presenting cells expand functional CD8+ T cells with memory characteristics for adoptive cell therapy. Biomaterials. 313. 122773–122773. 6 indexed citations

Schneck, Jonathan P., et al.. (2024). Nanoparticle Targeting Strategies for Lipid and Polymer‐Based Gene Delivery to Immune Cells In Vivo. SHILAP Revista de lepidopterología. 4(9). 2400248–2400248. 16 indexed citations

Qin, Yaowu, Savalan Babapoor-Farrokhran, Monika Deshpande, et al.. (2022). PAI-1 is a vascular cell–specific HIF-2–dependent angiogenic factor that promotes retinal neovascularization in diabetic patients. Science Advances. 8(9). eabm1896–eabm1896. 29 indexed citations

Vaughan, Hannah J., Desmond Jacob, Ronnie C. Mease, et al.. (2022). Polymeric nanoparticles for dual-targeted theranostic gene delivery to hepatocellular carcinoma. Science Advances. 8(29). eabo6406–eabo6406. 39 indexed citations

Makena, Monish Ram, Paula Schiapparelli, Paola Suárez-Meade, et al.. (2022). The endosomal pH regulator NHE9 is a driver of stemness in glioblastoma. PNAS Nexus. 1(1). pgac013–pgac013. 4 indexed citations

Yu, Qin, Xuan Cao, Kathleen Jee, et al.. (2022). ANGPTL4 influences the therapeutic response of patients with neovascular age-related macular degeneration by promoting choroidal neovascularization. JCI Insight. 7(13). 9 indexed citations

Ben‐Akiva, Elana, Arshdeep Singh, Savannah Est‐Witte, et al.. (2022). Machine learning guided structure function predictions enable in silico nanoparticle screening for polymeric gene delivery. Acta Biomaterialia. 154. 349–358. 38 indexed citations

Zhang, Jing, Yaowu Qin, Miguel Flores‐Bellver, et al.. (2021). HIF-1α and HIF-2α redundantly promote retinal neovascularization in patients with ischemic retinal disease. Journal of Clinical Investigation. 131(12). 53 indexed citations

10.

Est‐Witte, Savannah, et al.. (2021). Nanoparticles for generating antigen-specific T cells for immunotherapy. Seminars in Immunology. 56. 101541–101541. 24 indexed citations

11.

López-Bertoni, Hernando, Ivan S. Kotchetkov, Bachchu Lal, et al.. (2020). A Sox2:miR-486-5p Axis Regulates Survival of GBM Cells by Inhibiting Tumor Suppressor Networks. Cancer Research. 80(8). 1644–1655. 39 indexed citations

12.

Shen, Jikui, Stephany Y. Tzeng, Kun Ding, et al.. (2020). Suprachoroidal gene transfer with nonviral nanoparticles. Science Advances. 6(27). 47 indexed citations

13.

Shamul, James G., Sagar Shah, Jayoung Kim, et al.. (2019). <p>Verteporfin-Loaded Anisotropic Poly(Beta-Amino Ester)-Based Micelles Demonstrate Brain Cancer-Selective Cytotoxicity and Enhanced Pharmacokinetics</p>. International Journal of Nanomedicine. Volume 14. 10047–10060. 22 indexed citations

14.

Wilson, David R., et al.. (2019). The role of assembly parameters on polyplex poly(beta‐amino ester) nanoparticle transfections. Biotechnology and Bioengineering. 116(5). 1220–1230. 22 indexed citations

15.

Vaughan, Hannah J., Jordan J. Green, & Stephany Y. Tzeng. (2019). Cancer‐Targeting Nanoparticles for Combinatorial Nucleic Acid Delivery. Advanced Materials. 32(13). e1901081–e1901081. 195 indexed citations

16.

Min, Sungjin, Yoonhee Jin, Chen Hou, et al.. (2018). Bacterial tRNase–Based Gene Therapy with Poly(β‐Amino Ester) Nanoparticles for Suppressing Melanoma Tumor Growth and Relapse. Advanced Healthcare Materials. 7(16). e1800052–e1800052. 12 indexed citations

17.

Schiapparelli, Paula, Kristen Kozielski, Jordan J. Green, et al.. (2017). Electrophoresis of cell membrane heparan sulfate regulates galvanotaxis in glial cells. Journal of Cell Science. 130(15). 2459–2467. 15 indexed citations

18.

Wang, Ting, Daniele M. Gilkes, Naoharu Takano, et al.. (2014). Hypoxia-inducible factors and RAB22A mediate formation of microvesicles that stimulate breast cancer invasion and metastasis. Proceedings of the National Academy of Sciences. 111(31). E3234–42. 412 indexed citations breakdown →

19.

Kamat, Chandrashekhar D., Ron B. Shmueli, Nick Connis, et al.. (2013). Poly(β-amino ester) Nanoparticle Delivery of TP53 Has Activity against Small Cell Lung Cancer In Vitro and In Vivo. Molecular Cancer Therapeutics. 12(4). 405–415. 41 indexed citations

20.

Zugates, Gregory T., Weidan Peng, David O. Holtz, et al.. (2009). Nanoparticle-Delivered Suicide Gene Therapy Effectively Reduces Ovarian Tumor Burden in Mice. Cancer Research. 69(15). 6184–6191. 73 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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