Nduka Enemchukwu

861 total citations
8 papers, 677 citations indexed

About

Nduka Enemchukwu is a scholar working on Biomedical Engineering, Molecular Biology and Ophthalmology. According to data from OpenAlex, Nduka Enemchukwu has authored 8 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biomedical Engineering, 3 papers in Molecular Biology and 3 papers in Ophthalmology. Recurrent topics in Nduka Enemchukwu's work include 3D Printing in Biomedical Research (3 papers), Retinal Development and Disorders (3 papers) and Retinal Diseases and Treatments (3 papers). Nduka Enemchukwu is often cited by papers focused on 3D Printing in Biomedical Research (3 papers), Retinal Development and Disorders (3 papers) and Retinal Diseases and Treatments (3 papers). Nduka Enemchukwu collaborates with scholars based in United States, United Kingdom and China. Nduka Enemchukwu's co-authors include Andrés J. Garcı́a, Todd Sulchek, Niren Murthy, Thomas H. Barker, Vincent F. Fiore, Jay C. Sy, Edward A. Phelps, José R. García, Christopher Johnson and Ricardo Cruz‐Acuña and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and The Journal of Cell Biology.

In The Last Decade

Nduka Enemchukwu

8 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nduka Enemchukwu United States 7 328 187 181 139 133 8 677
Stephanie A. Fisher Canada 8 253 0.8× 177 0.9× 243 1.3× 126 0.9× 122 0.9× 8 613
Alexandra E. Halevi United States 8 295 0.9× 198 1.1× 137 0.8× 146 1.1× 108 0.8× 14 733
Katarzyna A. Mosiewicz Switzerland 6 573 1.7× 214 1.1× 202 1.1× 135 1.0× 109 0.8× 7 865
Kyle A. Kyburz United States 7 462 1.4× 236 1.3× 121 0.7× 166 1.2× 95 0.7× 7 779
Yukie Aizawa Canada 5 421 1.3× 187 1.0× 153 0.8× 95 0.7× 82 0.6× 6 646
Brian A. Aguado United States 11 270 0.8× 168 0.9× 182 1.0× 54 0.4× 135 1.0× 22 804
Lucas Schirmer Germany 10 301 0.9× 283 1.5× 111 0.6× 137 1.0× 132 1.0× 14 783
Christopher K. Arakawa United States 9 473 1.4× 217 1.2× 170 0.9× 94 0.7× 80 0.6× 12 732
Mi Y. Kwon United States 8 440 1.3× 252 1.3× 106 0.6× 134 1.0× 102 0.8× 9 771
Yuanbo Jia China 14 284 0.9× 206 1.1× 114 0.6× 74 0.5× 161 1.2× 24 773

Countries citing papers authored by Nduka Enemchukwu

Since Specialization
Citations

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

Fields of papers citing papers by Nduka Enemchukwu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nduka Enemchukwu. 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 Nduka Enemchukwu. The network helps show where Nduka Enemchukwu may publish in the future.

Co-authorship network of co-authors of Nduka Enemchukwu

This figure shows the co-authorship network connecting the top 25 collaborators of Nduka Enemchukwu. A scholar is included among the top collaborators of Nduka Enemchukwu 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 Nduka Enemchukwu. Nduka Enemchukwu 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.
Zhu, Lingping, Mackenzie J. Parker, Nduka Enemchukwu, et al.. (2020). Combination of apolipoprotein-A-I/apolipoprotein-A-I binding protein and anti-VEGF treatment overcomes anti-VEGF resistance in choroidal neovascularization in mice. Communications Biology. 3(1). 386–386. 20 indexed citations
2.
Xu, Hui, et al.. (2020). Deletion of M-Opsin Prevents M Cone Degeneration in a Mouse Model of Leber Congenital Amaurosis. American Journal Of Pathology. 190(5). 1059–1067. 7 indexed citations
3.
Zhang, Tao, Sandeep Kumar, Nduka Enemchukwu, et al.. (2016). Dimerization of visual pigments in vivo. Proceedings of the National Academy of Sciences. 113(32). 9093–9098. 28 indexed citations
4.
Enemchukwu, Nduka, Ricardo Cruz‐Acuña, Christopher Johnson, et al.. (2015). Synthetic matrices reveal contributions of ECM biophysical and biochemical properties to epithelial morphogenesis. The Journal of Cell Biology. 212(1). 113–124. 104 indexed citations
5.
Zhang, Tao, Nduka Enemchukwu, Alex Jones, et al.. (2014). Genetic deletion of S-opsin prevents rapid cone degeneration in a mouse model of Leber congenital amaurosis. Human Molecular Genetics. 24(6). 1755–1763. 16 indexed citations
6.
Phelps, Edward A., Nduka Enemchukwu, Vincent F. Fiore, et al.. (2011). Bioactive Hydrogels: Maleimide Cross‐Linked Bioactive PEG Hydrogel Exhibits Improved Reaction Kinetics and Cross‐Linking for Cell Encapsulation and In Situ Delivery (Adv. Mater. 1/2012). Advanced Materials. 24(1). 2–2. 6 indexed citations
7.
Phelps, Edward A., Nduka Enemchukwu, Vincent F. Fiore, et al.. (2011). Maleimide Cross‐Linked Bioactive PEG Hydrogel Exhibits Improved Reaction Kinetics and Cross‐Linking for Cell Encapsulation and In Situ Delivery. Advanced Materials. 24(1). 64–70. 432 indexed citations
8.
Enemchukwu, Nduka, et al.. (2008). Bioadhesive hydrogel microenvironments to modulate epithelial morphogenesis. Biomaterials. 29(17). 2637–2645. 64 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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