J.N. Ebright

1.3k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

J.N. Ebright is a scholar working on Molecular Biology, Ophthalmology and Immunology. According to data from OpenAlex, J.N. Ebright has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Ophthalmology and 3 papers in Immunology. Recurrent topics in J.N. Ebright's work include Retinal Diseases and Treatments (3 papers), Retinal Development and Disorders (2 papers) and RNA Interference and Gene Delivery (2 papers). J.N. Ebright is often cited by papers focused on Retinal Diseases and Treatments (3 papers), Retinal Development and Disorders (2 papers) and RNA Interference and Gene Delivery (2 papers). J.N. Ebright collaborates with scholars based in United States. J.N. Ebright's co-authors include Catherine Bowes Rickman, Michael A. Hauser, Goldis Malek, Lisa S. Hancox, Ethan A. Chapin, Lincoln V. Johnson, Monte J. Radeke, Don H. Anderson, P.T. Johnson and Jane Hu and has published in prestigious journals such as Nature Immunology, Progress in Retinal and Eye Research and Investigative Ophthalmology & Visual Science.

In The Last Decade

J.N. Ebright

9 papers receiving 1.0k citations

Hit Papers

The pivotal role of the complement system in aging and ag... 2009 2026 2014 2020 2009 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.N. Ebright United States 9 567 463 321 269 78 9 1.0k
Anja Schlecht Germany 16 550 1.0× 279 0.6× 175 0.5× 265 1.0× 235 3.0× 37 885
N. M. McKechnie United Kingdom 15 388 0.7× 387 0.8× 76 0.2× 190 0.7× 25 0.3× 33 755
Sofija Andjelić Slovenia 18 103 0.2× 410 0.9× 581 1.8× 118 0.4× 25 0.3× 45 1.1k
Arpita Bharadwaj United States 14 157 0.3× 293 0.6× 146 0.5× 51 0.2× 22 0.3× 20 678
John Kuchtey United States 15 369 0.7× 267 0.6× 177 0.6× 145 0.5× 40 0.5× 35 720
F Uehara Japan 14 165 0.3× 454 1.0× 181 0.6× 70 0.3× 17 0.2× 58 682
Yasushi Isashiki Japan 17 271 0.5× 474 1.0× 218 0.7× 157 0.6× 42 0.5× 48 933
Gian‐Marco Sarra Switzerland 12 543 1.0× 522 1.1× 35 0.1× 301 1.1× 79 1.0× 22 969
Eisuke Shimizu Japan 16 309 0.5× 132 0.3× 64 0.2× 305 1.1× 103 1.3× 77 831
Jacob Nellissery United States 14 170 0.3× 518 1.1× 48 0.1× 53 0.2× 41 0.5× 25 657

Countries citing papers authored by J.N. Ebright

Since Specialization
Citations

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

Fields of papers citing papers by J.N. Ebright

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.N. Ebright

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

All Works

9 of 9 papers shown
1.
Anderson, Don H., Monte J. Radeke, Ethan A. Chapin, et al.. (2009). The pivotal role of the complement system in aging and age-related macular degeneration: Hypothesis re-visited. Progress in Retinal and Eye Research. 29(2). 95–112. 591 indexed citations breakdown →
2.
Li, Na, J.N. Ebright, Gwendolyn M. Stovall, et al.. (2009). Technical and Biological Issues Relevant to Cell Typing with Aptamers. Journal of Proteome Research. 8(5). 2438–2448. 90 indexed citations
3.
Wistow, Graeme, Katherine Peterson, James Gao, et al.. (2008). NEIBank: genomics and bioinformatics resources for vision research.. PubMed. 14. 1327–37. 26 indexed citations
4.
Yu, Ling, Una Kelly, J.N. Ebright, et al.. (2007). Oxidative stress-induced expression and modulation of Phosphatase of Regenerating Liver-1 (PRL-1) in mammalian retina. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1773(9). 1473–1482. 28 indexed citations
5.
Fazilleau, Nicolas, Michael D. Eisenbraun, Laurent Malherbe, et al.. (2007). Lymphoid reservoirs of antigen-specific memory T helper cells. Nature Immunology. 8(7). 753–761. 147 indexed citations
6.
Chu, Ted C., J.N. Ebright, & Andrew D. Ellington. (2007). Using aptamers to identify and enter cells.. PubMed. 9(2). 137–44. 16 indexed citations
7.
Rickman, Catherine Bowes, J.N. Ebright, Ling Yu, et al.. (2006). Defining the Human Macula Transcriptome and Candidate Retinal Disease Genes UsingEyeSAGE. Investigative Ophthalmology & Visual Science. 47(6). 2305–2305. 58 indexed citations
8.
Yang, Ping, et al.. (2005). Human RPE Expression of Cell Survival Factors. Investigative Ophthalmology & Visual Science. 46(5). 1755–1755. 36 indexed citations
9.
Thompson, Carol L., Catherine Bowes Rickman, J.N. Ebright, et al.. (2003). Expression of the Blue-Light Receptor Cryptochrome in the Human Retina. Investigative Ophthalmology & Visual Science. 44(10). 4515–4515. 50 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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