Erin E. Berlew

435 total citations
8 papers, 169 citations indexed

About

Erin E. Berlew is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Plant Science. According to data from OpenAlex, Erin E. Berlew has authored 8 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Plant Science. Recurrent topics in Erin E. Berlew's work include Photoreceptor and optogenetics research (4 papers), Photosynthetic Processes and Mechanisms (4 papers) and Light effects on plants (4 papers). Erin E. Berlew is often cited by papers focused on Photoreceptor and optogenetics research (4 papers), Photosynthetic Processes and Mechanisms (4 papers) and Light effects on plants (4 papers). Erin E. Berlew collaborates with scholars based in United States, Japan and Mexico. Erin E. Berlew's co-authors include Brian Y. Chow, Maureen E. Hillenmeyer, Louise K. Charkoudian, Ivan A. Kuznetsov, Spencer T. Glantz, Lukasz J. Bugaj, Kevin H. Gardner, Benjamin S. Schuster, Keisuke Yamada and Joel D. Boerckel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Methods in enzymology on CD-ROM/Methods in enzymology and Nature Chemical Biology.

In The Last Decade

Erin E. Berlew

8 papers receiving 169 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erin E. Berlew United States 7 126 84 59 41 16 8 169
Nancy B. Rankl United States 9 164 1.3× 80 1.0× 72 1.2× 9 0.2× 15 0.9× 11 283
Paul W.J. van den Wijngaard Netherlands 10 282 2.2× 57 0.7× 171 2.9× 13 0.3× 11 0.7× 13 355
Mokryun L. Baek United States 6 189 1.5× 16 0.2× 95 1.6× 32 0.8× 14 0.9× 6 279
Konstantin V. Purtov Russia 4 119 0.9× 41 0.5× 13 0.2× 22 0.5× 3 0.2× 5 161
Hans E. Waldenmaier Brazil 6 124 1.0× 37 0.4× 38 0.6× 23 0.6× 3 0.2× 6 155
Cierra N. Sing United States 8 243 1.9× 22 0.3× 43 0.7× 13 0.3× 56 3.5× 11 307
Rocio Ochoa‐Fernandez Germany 6 239 1.9× 67 0.8× 189 3.2× 5 0.1× 4 0.3× 10 329
Einat Yatzkan Israel 8 149 1.2× 12 0.1× 132 2.2× 46 1.1× 40 2.5× 9 218
Masak Takaine Japan 9 257 2.0× 43 0.5× 28 0.5× 11 0.3× 181 11.3× 22 338
Sepalika Bandara United States 10 201 1.6× 32 0.4× 40 0.7× 5 0.1× 12 0.8× 21 270

Countries citing papers authored by Erin E. Berlew

Since Specialization
Citations

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

Fields of papers citing papers by Erin E. Berlew

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erin E. Berlew. 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 Erin E. Berlew. The network helps show where Erin E. Berlew may publish in the future.

Co-authorship network of co-authors of Erin E. Berlew

This figure shows the co-authorship network connecting the top 25 collaborators of Erin E. Berlew. A scholar is included among the top collaborators of Erin E. Berlew 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 Erin E. Berlew. Erin E. Berlew 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.
Panebianco, Christopher J., et al.. (2023). Adjusting to Your Surroundings: An Inquiry-Based Learning Module to Teach Principles of Mechanobiology for Regenerative Medicine. PubMed. 4(1). 73–86. 1 indexed citations
2.
Berlew, Erin E., et al.. (2022). Designing Single-Component Optogenetic Membrane Recruitment Systems: The Rho-Family GTPase Signaling Toolbox. ACS Synthetic Biology. 11(1). 515–521. 11 indexed citations
3.
Berlew, Erin E., Ivan A. Kuznetsov, Bomyi Lim, et al.. (2021). Temperature-responsive optogenetic probes of cell signaling. Nature Chemical Biology. 18(2). 152–160. 23 indexed citations
4.
Berlew, Erin E., Ivan A. Kuznetsov, Keisuke Yamada, et al.. (2021). Single‐Component Optogenetic Tools for Inducible RhoA GTPase Signaling. Advanced Biology. 5(9). e2100810–e2100810. 21 indexed citations
5.
Berlew, Erin E., Ivan A. Kuznetsov, Keisuke Yamada, Lukasz J. Bugaj, & Brian Y. Chow. (2020). Optogenetic Rac1 engineered from membrane lipid-binding RGS-LOV for inducible lamellipodia formation. Photochemical & Photobiological Sciences. 19(3). 353–361. 14 indexed citations
6.
Glantz, Spencer T., Erin E. Berlew, & Brian Y. Chow. (2019). Synthetic cell-like membrane interfaces for probing dynamic protein-lipid interactions. Methods in enzymology on CD-ROM/Methods in enzymology. 622. 249–270. 6 indexed citations
7.
Glantz, Spencer T., et al.. (2018). Directly light-regulated binding of RGS-LOV photoreceptors to anionic membrane phospholipids. Proceedings of the National Academy of Sciences. 115(33). E7720–E7727. 47 indexed citations
8.
Hillenmeyer, Maureen E., et al.. (2015). Evolution of chemical diversity by coordinated gene swaps in type II polyketide gene clusters. Proceedings of the National Academy of Sciences. 112(45). 13952–13957. 46 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026