Eric Wu

2.1k total citations · 1 hit paper
10 papers, 1.6k citations indexed

About

Eric Wu is a scholar working on Molecular Biology, Microbiology and Immunology. According to data from OpenAlex, Eric Wu has authored 10 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Microbiology and 3 papers in Immunology. Recurrent topics in Eric Wu's work include Antimicrobial Peptides and Activities (5 papers), Lipid Membrane Structure and Behavior (3 papers) and Healthcare and Venom Research (2 papers). Eric Wu is often cited by papers focused on Antimicrobial Peptides and Activities (5 papers), Lipid Membrane Structure and Behavior (3 papers) and Healthcare and Venom Research (2 papers). Eric Wu collaborates with scholars based in United States, Australia and Japan. Eric Wu's co-authors include Hsin-Jung Wu, Jenisha Ghimire, Shantanu Guha, William C. Wimley, Nhan L. Tran, Hsin‐Jung Joyce Wu, Caroline Bradley, Christina Klinger, Fei Teng and Yoshinori Umesaki and has published in prestigious journals such as Chemical Reviews, ACS Nano and Immunity.

In The Last Decade

Eric Wu

10 papers receiving 1.6k citations

Hit Papers

The role of gut microbiota in immune homeostasis and auto... 2012 2026 2016 2021 2012 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eric Wu United States 6 995 288 281 217 210 10 1.6k
Floris Fransen Netherlands 14 636 0.6× 243 0.8× 285 1.0× 187 0.9× 241 1.1× 15 1.2k
Seth M. Bloom United States 9 821 0.8× 354 1.2× 519 1.8× 109 0.5× 144 0.7× 14 1.5k
Arya Khosravi United States 12 1.2k 1.2× 494 1.7× 386 1.4× 259 1.2× 191 0.9× 15 2.1k
Aline Dupont Germany 14 662 0.7× 220 0.8× 331 1.2× 134 0.6× 135 0.6× 24 1.3k
Rüdiger Adam Germany 16 654 0.7× 218 0.8× 150 0.5× 158 0.7× 161 0.8× 42 1.5k
Eiji Miyauchi Japan 18 964 1.0× 204 0.7× 276 1.0× 71 0.3× 195 0.9× 34 1.5k
Alex Steimle Germany 15 735 0.7× 213 0.7× 277 1.0× 80 0.4× 129 0.6× 23 1.2k
Emrah Altındiş United States 16 707 0.7× 177 0.6× 128 0.5× 151 0.7× 213 1.0× 32 1.2k
Zhongcheng Shi United States 19 1.1k 1.1× 196 0.7× 579 2.1× 75 0.3× 173 0.8× 37 1.9k
Elizabeth R. Mann United Kingdom 23 837 0.8× 352 1.2× 557 2.0× 132 0.6× 245 1.2× 42 2.0k

Countries citing papers authored by Eric Wu

Since Specialization
Citations

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

Fields of papers citing papers by Eric Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eric Wu

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

All Works

10 of 10 papers shown
1.
Wu, Eric, et al.. (2024). pH-Responsive Peptide Nanoparticles Deliver Macromolecules to Cells via Endosomal Membrane Nanoporation. ACS Nano. 18(50). 33922–33936. 2 indexed citations
2.
Guha, Shantanu, et al.. (2021). Applications and evolution of melittin, the quintessential membrane active peptide. Biochemical Pharmacology. 193. 114769–114769. 107 indexed citations
3.
Phong, Binh, et al.. (2021). IgE-activated mast cells enhance TLR4-mediated antigen-specific CD4+ T cell responses. Scientific Reports. 11(1). 9686–9686. 10 indexed citations
4.
Wu, Eric, et al.. (2020). Cytosolic Delivery of Antibodies and Other Macromolecules. Biophysical Journal. 118(3). 384a–384a. 1 indexed citations
5.
Guha, Shantanu, Eric Wu, Jenisha Ghimire, et al.. (2020). Broad-Spectrum Antiviral Entry Inhibition by Interfacially Active Peptides. Journal of Virology. 94(23). 25 indexed citations
6.
Wu, Eric, et al.. (2020). Rational Modulation of pH-Triggered Macromolecular Poration by Peptide Acylation and Dimerization. The Journal of Physical Chemistry B. 124(40). 8835–8843. 5 indexed citations
7.
Guha, Shantanu, Jenisha Ghimire, Eric Wu, & William C. Wimley. (2019). Mechanistic Landscape of Membrane-Permeabilizing Peptides. Chemical Reviews. 119(9). 6040–6085. 212 indexed citations
8.
Wu, Eric, Yilin Wang, Kalina Hristova, & William C. Wimley. (2018). Using pH Sensitive Peptides for the Endosomal Release of Antibodies. Biophysical Journal. 114(3). 266a–266a. 1 indexed citations
9.
Teng, Fei, Christina Klinger, Krysta M. Felix, et al.. (2016). Gut Microbiota Drive Autoimmune Arthritis by Promoting Differentiation and Migration of Peyer’s Patch T Follicular Helper Cells. Immunity. 44(4). 875–888. 216 indexed citations
10.
Wu, Hsin-Jung & Eric Wu. (2012). The role of gut microbiota in immune homeostasis and autoimmunity. Gut Microbes. 3(1). 4–14. 1009 indexed citations breakdown →

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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