Eric J. Berns
Impact in
- Biomaterials top 2%
- Supramolecular Self-Assembly in Materials
- Electrospun Nanofibers in Biomedical Applications
- Silk-based biomaterials and applications
- Developmental Neuroscience top 10%
Papers in
-
- RNA Interference and Gene Delivery 8
- Lipid Membrane Structure and Behavior 2
-
- Supramolecular Self-Assembly in Materials 8
- Co-authors
- Samuel I. Stupp (10 shared papers)Joshua E. Goldberger (4 shared papers)Milan Mrksich (10 shared papers)John A. Kessler (6 shared papers)Liuliu Pan (2 shared papers)Matthew J. Webber (1 shared paper)Shuming Zhang (1 shared paper)Shantanu Sur (1 shared paper)
- Journals
- Journal of the American Chemical Society (2 papers)Analytical Chemistry (2 papers)Biomaterials (2 papers)Small (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesSwedenPhilippines
In The Last Decade
Eric J. Berns
20 papers receiving 872 citations
Peers
Comparison fields: 5 of 87
- Biomaterials 467
- Developmental Neuroscience 50
- Cellular and Molecular Neuroscience 165
- Molecular Medicine 33
- Microbiology 41
Countries citing papers authored by Eric J. Berns
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
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-authors
The 25 scholars most cited alongside Eric J. Berns, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 168 | |
| 2 | 2019 | 143 | |
| 3 | 2014 | 103 | |
| 4 | 2011 | 78 | |
| 5 | 2013 | 65 | |
| 6 | 2016 | 65 | |
| 7 | 2014 | 58 | |
| 8 | 2018 | 31 | |
| 9 | 2013 | 28 | |
| 10 | 2017 | 22 | |
| 11 | 2020 | 22 | |
| 12 | 2016 | 21 | |
| 13 | 2018 | 19 | |
| 14 | 2022 | 16 | |
| 15 | 2018 | 16 | |
| 16 | 2016 | 14 | |
| 17 | 2019 | 7 | |
| 18 | 2011 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2024 | 1 |
About Eric J. Berns
Eric J. Berns is a scholar working on Molecular Biology, Biomaterials, Cellular and Molecular Neuroscience, Biomedical Engineering and Spectroscopy, having authored 20 papers that have together received 886 indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (8 papers), RNA Interference and Gene Delivery (8 papers), Nerve injury and regeneration (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Neuroscience and Neural Engineering (2 papers), Lipid Membrane Structure and Behavior (2 papers), Cell Adhesion Molecules Research (2 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). The work is most often cited by research in Biomaterials (467 citations), Developmental Neuroscience (50 citations), Cellular and Molecular Neuroscience (165 citations), Molecular Medicine (33 citations) and Microbiology (41 citations). Eric J. Berns has collaborated with scholars based in United States, Sweden and Philippines. Frequent co-authors include Samuel I. Stupp, Joshua E. Goldberger, Milan Mrksich, John A. Kessler, Liuliu Pan, Matthew J. Webber, Shuming Zhang, Shantanu Sur, Andrew Lee and Albert Xue. Their work appears in journals such as Journal of the American Chemical Society, Analytical Chemistry, Biomaterials, Small and PLoS ONE.
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.