Eric J. Berns

1.1k total citations
20 papers, 886 citations indexed

About

Eric J. Berns is a scholar working on Molecular Biology, Biomaterials and Cellular and Molecular Neuroscience. According to data from OpenAlex, Eric J. Berns has authored 20 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Biomaterials and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Eric J. Berns's work include RNA Interference and Gene Delivery (8 papers), Supramolecular Self-Assembly in Materials (8 papers) and Nerve injury and regeneration (4 papers). Eric J. Berns is often cited by papers focused on RNA Interference and Gene Delivery (8 papers), Supramolecular Self-Assembly in Materials (8 papers) and Nerve injury and regeneration (4 papers). Eric J. Berns collaborates with scholars based in United States, Sweden and Philippines. Eric J. Berns's co-authors include Samuel I. Stupp, Joshua E. Goldberger, Milan Mrksich, John A. Kessler, Liuliu Pan, Matthew J. Webber, Shantanu Sur, Shuming Zhang, Neda Bagheri and Albert Xue and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and ACS Nano.

In The Last Decade

Eric J. Berns

20 papers receiving 872 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric J. Berns United States 15 467 411 208 165 162 20 886
Stacey M. Chin United States 10 489 1.0× 246 0.6× 244 1.2× 124 0.8× 278 1.7× 16 918
Alexandra N. Edelbrock United States 10 405 0.9× 275 0.7× 176 0.8× 133 0.8× 180 1.1× 13 762
Michael R. Caplan United States 19 625 1.3× 641 1.6× 214 1.0× 83 0.5× 259 1.6× 49 1.4k
Ruomeng Qiu United States 9 266 0.6× 193 0.5× 99 0.5× 106 0.6× 119 0.7× 20 532
Andrew Cho United States 17 171 0.4× 432 1.1× 108 0.5× 62 0.4× 96 0.6× 20 826
Hidenori Yokoi Japan 10 739 1.6× 515 1.3× 141 0.7× 52 0.3× 310 1.9× 18 990
Badriprasad Ananthanarayanan United States 11 262 0.6× 337 0.8× 375 1.8× 99 0.6× 48 0.3× 15 933
Ivan R. Sasselli United States 19 1.2k 2.5× 730 1.8× 207 1.0× 164 1.0× 634 3.9× 34 1.6k
Ester J. Kwon United States 21 260 0.6× 1.1k 2.7× 442 2.1× 119 0.7× 50 0.3× 40 1.8k
Xing Su United States 5 1.2k 2.5× 782 1.9× 257 1.2× 154 0.9× 383 2.4× 9 1.5k

Countries citing papers authored by Eric J. Berns

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Berns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric J. Berns

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

All Works

20 of 20 papers shown
1.
Modica, Justin A., et al.. (2024). Synthesis and Activity of T-Cell Tumor-Directing MegaMolecules. Journal of the American Chemical Society. 146(39). 26801–26807. 1 indexed citations
2.
Mukherjee, Prithvijit, Eric J. Berns, Elamar Hakim Moully, et al.. (2022). High-Throughput Microfluidics Platform for Intracellular Delivery and Sampling of Biomolecules from Live Cells. ACS Nano. 16(5). 7937–7946. 16 indexed citations
3.
Brasiliense, Vitor, Ji Eun Park, Eric J. Berns, Richard P. Van Duyne, & Milan Mrksich. (2022). Surface potential modulation as a tool for mitigating challenges in SERS-based microneedle sensors. Scientific Reports. 12(1). 4 indexed citations
4.
Mukherjee, Prithvijit, Eric J. Berns, Elamar Hakim Moully, et al.. (2020). Temporal Sampling of Enzymes from Live Cells by Localized Electroporation and Quantification of Activity by SAMDI Mass Spectrometry. Small. 16(26). e2000584–e2000584. 22 indexed citations
5.
Moully, Elamar Hakim, Eric J. Berns, & Milan Mrksich. (2019). Label-Free Assay of Protein Tyrosine Phosphatase Activity in Single Cells. Analytical Chemistry. 91(20). 13206–13212. 7 indexed citations
6.
Yamankurt, Gokay, Eric J. Berns, Albert Xue, et al.. (2019). Exploration of the nanomedicine-design space with high-throughput screening and machine learning. Nature Biomedical Engineering. 3(4). 318–327. 143 indexed citations
7.
Berns, Eric J., et al.. (2018). Traceless Immobilization of Analytes for High-Throughput Experiments with SAMDI Mass Spectrometry. Journal of the American Chemical Society. 140(26). 8060–8063. 19 indexed citations
8.
Berns, Eric J., et al.. (2018). Combining SAMDI Mass Spectrometry and Peptide Arrays to Profile Phosphatase Activities. Methods in enzymology on CD-ROM/Methods in enzymology. 607. 389–403. 16 indexed citations
9.
Berns, Eric J., et al.. (2018). In vivomigration of endogenous brain progenitor cells guided by an injectable peptide amphiphile biomaterial. Journal of Tissue Engineering and Regenerative Medicine. 12(4). e2123–e2133. 31 indexed citations
10.
Matsuoka, Akihiro J., Nicholas Stephanopoulos, Eric J. Berns, et al.. (2017). Creating a stem cell niche in the inner ear using self-assembling peptide amphiphiles. PLoS ONE. 12(12). e0190150–e0190150. 22 indexed citations
11.
Berns, Eric J., Zaida Álvarez, Joshua E. Goldberger, et al.. (2016). A tenascin-C mimetic peptide amphiphile nanofiber gel promotes neurite outgrowth and cell migration of neurosphere-derived cells. Acta Biomaterialia. 37. 50–58. 65 indexed citations
12.
13.
Berns, Eric J., Maria D. Cabezas, & Milan Mrksich. (2016). Cellular Assays with a Molecular Endpoint Measured by SAMDI Mass Spectrometry. Small. 12(28). 3811–3818. 21 indexed citations
14.
Li, Andrew, Akishige Hokugo, Eric J. Berns, et al.. (2014). A bioengineered peripheral nerve construct using aligned peptide amphiphile nanofibers. Biomaterials. 35(31). 8780–8790. 103 indexed citations
15.
Pan, Liuliu, Vibhu Sahni, Tammy L. McGuire, et al.. (2014). β1-Integrin and Integrin Linked Kinase Regulate Astrocytic Differentiation of Neural Stem Cells. PLoS ONE. 9(8). e104335–e104335. 58 indexed citations
16.
Webber, Matthew J., Eric J. Berns, & Samuel I. Stupp. (2013). Supramolecular Nanofibers of Peptide Amphiphiles for Medicine. Israel Journal of Chemistry. 53(8). 530–554. 65 indexed citations
17.
18.
Berns, Eric J., Shantanu Sur, Liuliu Pan, et al.. (2013). Aligned neurite outgrowth and directed cell migration in self-assembled monodomain gels. Biomaterials. 35(1). 185–195. 168 indexed citations
19.
Goldberger, Joshua E., Eric J. Berns, Ronit Bitton, Christina J. Newcomb, & Samuel I. Stupp. (2011). Electrostatic Control of Bioactivity. Angewandte Chemie International Edition. 50(28). 6292–6295. 78 indexed citations
20.
Goldberger, Joshua E., Eric J. Berns, Ronit Bitton, Christina J. Newcomb, & Samuel I. Stupp. (2011). Electrostatic Control of Bioactivity. Angewandte Chemie. 123(28). 6416–6419. 5 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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