Eric J. Berns
Impact in
- Biomaterials top 2%
- Supramolecular Self-Assembly in Materials
- Electrospun Nanofibers in Biomedical Applications
- Developmental Neuroscience top 10%
Papers in
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- Supramolecular Self-Assembly in Materials 7
-
- Cell Image Analysis Techniques 3
- Co-authors
- Samuel Isaac Stupp (9 shared papers)Milan Mrksich (13 shared papers)John A. Kessler (6 shared papers)Joshua E. Goldberger (3 shared papers)Liuliu Pan (2 shared papers)Neda Bagheri (4 shared papers)Andrew Lee (4 shared papers)Albert Xue (4 shared papers)
- Journals
- Journal of the American Chemical Society (2 papers)Small (2 papers)Analytical Chemistry (2 papers)Biomaterials (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesPhilippinesSweden
In The Last Decade
Eric J. Berns
21 papers receiving 959 citations
Peers
Comparison fields: 5 of 89
- Biomaterials 506
- Developmental Neuroscience 49
- Cellular and Molecular Neuroscience 170
- Microbiology 45
- Molecular Medicine 33
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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 186 | |
| 2 | 2019 | 170 | |
| 3 | 2014 | 113 | |
| 4 | 2011 | 86 | |
| 5 | 2016 | 77 | |
| 6 | 2013 | 71 | |
| 7 | 2014 | 65 | |
| 8 | 2018 | 34 | |
| 9 | 2013 | 31 | |
| 10 | 2020 | 24 | |
| 11 | 2017 | 24 | |
| 12 | 2016 | 21 | |
| 13 | 2022 | 20 | |
| 14 | 2018 | 19 | |
| 15 | 2018 | 16 | |
| 16 | 2016 | 14 | |
| 17 | 2019 | 8 | |
| 18 | 2022 | 5 | |
| 19 | 2024 | 4 | |
| 20 | 2020 | 1 |
About Eric J. Berns
Eric J. Berns is a scholar working on Biomaterials, Biophysics, Cellular and Molecular Neuroscience, Spectroscopy and Molecular Biology, having authored 22 papers that have together received 990 indexed citations. Recurring topics across this work include Supramolecular Self-Assembly in Materials (7 papers), RNA Interference and Gene Delivery (6 papers), Mass Spectrometry Techniques and Applications (4 papers), Advanced Biosensing Techniques and Applications (4 papers), Cell Image Analysis Techniques (3 papers), Nerve injury and regeneration (3 papers), Microfluidic and Bio-sensing Technologies (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Biomaterials (506 citations), Developmental Neuroscience (49 citations), Cellular and Molecular Neuroscience (170 citations), Microbiology (45 citations) and Molecular Medicine (33 citations). Eric J. Berns has collaborated with scholars based in United States, Philippines and Sweden. Frequent co-authors include Samuel Isaac Stupp, Milan Mrksich, John A. Kessler, Joshua E. Goldberger, Liuliu Pan, Neda Bagheri, Andrew Lee, Albert Xue, Chad Alexander Mirkin and Gokay Yamankurt. Their work appears in journals such as Journal of the American Chemical Society, Small, Analytical Chemistry, Biomaterials 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.