Allon I. Hochbaum

11.9k total citations · 5 hit papers
56 papers, 9.6k citations indexed

About

Allon I. Hochbaum is a scholar working on Molecular Biology, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Allon I. Hochbaum has authored 56 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Biomedical Engineering and 15 papers in Electrical and Electronic Engineering. Recurrent topics in Allon I. Hochbaum's work include Supramolecular Self-Assembly in Materials (12 papers), Bacterial biofilms and quorum sensing (10 papers) and Nanowire Synthesis and Applications (10 papers). Allon I. Hochbaum is often cited by papers focused on Supramolecular Self-Assembly in Materials (12 papers), Bacterial biofilms and quorum sensing (10 papers) and Nanowire Synthesis and Applications (10 papers). Allon I. Hochbaum collaborates with scholars based in United States, Australia and India. Allon I. Hochbaum's co-authors include Peidong Yang, Arun Majumdar, Renkun Chen, Wenjie Liang, Erik C. Garnett, Rong Fan, Joshua E. Goldberger, Joanna Aizenberg, Nicole L. Ing and Rongrui He and has published in prestigious journals such as Nature, Cell and Chemical Reviews.

In The Last Decade

Allon I. Hochbaum

50 papers receiving 9.5k citations

Hit Papers

Enhanced thermoelectric performance of rough silicon nano... 2005 2026 2012 2019 2008 2009 2006 2005 2019 1000 2.0k 3.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allon I. Hochbaum United States 33 5.5k 3.9k 3.6k 1.4k 1.2k 56 9.6k
Nosang V. Myung United States 59 4.9k 0.9× 4.9k 1.3× 6.7k 1.9× 1.2k 0.9× 489 0.4× 316 12.7k
Hideki Masuda Japan 48 10.7k 2.0× 4.4k 1.1× 4.4k 1.2× 2.3k 1.7× 977 0.8× 292 13.7k
Jianguo Guan China 68 4.0k 0.7× 5.5k 1.4× 2.2k 0.6× 1.2k 0.9× 502 0.4× 311 14.2k
Roya Maboudian United States 64 6.4k 1.2× 4.4k 1.1× 8.7k 2.4× 4.0k 2.9× 579 0.5× 325 15.1k
Seung‐Man Yang South Korea 54 3.7k 0.7× 4.2k 1.1× 2.8k 0.8× 2.7k 2.0× 267 0.2× 219 9.7k
R. C. Salvarezza Argentina 47 4.5k 0.8× 1.9k 0.5× 5.0k 1.4× 1.3k 1.0× 274 0.2× 287 9.3k
Michael B. Cortie Australia 46 4.6k 0.8× 2.8k 0.7× 2.0k 0.6× 632 0.5× 296 0.2× 231 9.4k
Paul E. Sheehan United States 38 7.9k 1.4× 4.7k 1.2× 3.9k 1.1× 2.7k 2.0× 175 0.1× 78 12.1k
Plinio Innocenzi Italy 51 6.3k 1.1× 1.8k 0.5× 1.8k 0.5× 637 0.5× 180 0.2× 260 9.3k
Barry L. Farmer United States 44 3.3k 0.6× 1.5k 0.4× 1.3k 0.4× 778 0.6× 354 0.3× 167 7.4k

Countries citing papers authored by Allon I. Hochbaum

Since Specialization
Citations

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

Fields of papers citing papers by Allon I. Hochbaum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allon I. Hochbaum. 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 Allon I. Hochbaum. The network helps show where Allon I. Hochbaum may publish in the future.

Co-authorship network of co-authors of Allon I. Hochbaum

This figure shows the co-authorship network connecting the top 25 collaborators of Allon I. Hochbaum. A scholar is included among the top collaborators of Allon I. Hochbaum 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 Allon I. Hochbaum. Allon I. Hochbaum 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.
Hurst, Paul J., et al.. (2025). Hierarchical Assembly of Conductive Fibers from Coiled-Coil Peptide Building Blocks. ACS Nano. 19(10). 10162–10172. 3 indexed citations
2.
Gu, Lei, Yuanming Song, Douglas J. Tobias, et al.. (2025). Investigating Electron Conductivity Regimes in the Bacterial Cytochrome Wire OmcS. The Journal of Physical Chemistry B. 129(46). 11889–11900.
4.
Hochbaum, Allon I., et al.. (2025). Electron transport across the cell envelope via multiheme c-type cytochromes in Geobacter sulfurreducens. Frontiers in Chemistry. 13. 1621274–1621274.
5.
Le, Julie, Michał Wierzbicki, Yuanming Song, et al.. (2025). Sequence Programmable Order–Disorder Transitions in Supramolecular Assembly of Peptide Nanofibers. Journal of the American Chemical Society. 147(28). 24699–24707.
6.
Oh, Younghoon, Ruqian Wu, Qiang Cui, et al.. (2025). Dynamic Electronic Structure Fluctuations in the De Novo Peptide ACC-Dimer Revealed by First-Principles Theory and Machine Learning. Journal of Chemical Information and Modeling. 65(5). 2503–2512.
7.
Rakowski, Alexander, Eric L. Schwartz, Allon I. Hochbaum, et al.. (2024). Observing the Dynamics of an Electrochemically Driven Active Material with Liquid Electron Microscopy. ACS Nano. 18(18). 11898–11909. 5 indexed citations
8.
Wei, Hong, Yixing Huang, Peter J. Santiago, et al.. (2023). Decoding the metabolic response of Escherichia coli for sensing trace heavy metals in water. Proceedings of the National Academy of Sciences. 120(7). e2210061120–e2210061120. 14 indexed citations
9.
Wang, Fengbin, et al.. (2023). Stimuli responsive hierarchical assembly of supramolecular conductive fibers from coiled-coil building blocks. Biophysical Journal. 122(3). 44a–44a.
10.
11.
Oh, Younghoon, Michał Wierzbicki, Nicole L. Ing, et al.. (2022). Electronic Structure of de Novo Peptide ACC-Hex from First Principles. The Journal of Physical Chemistry B. 126(23). 4289–4298. 6 indexed citations
12.
Wang, Fengbin, Chi Ho Chan, Dong Si, et al.. (2022). Structure of Geobacter OmcZ filaments suggests extracellular cytochrome polymers evolved independently multiple times. eLife. 11. 39 indexed citations
13.
Ing, Nicole L., Fengbin Wang, Nga Tien Lam, et al.. (2020). Structural Determination of a Filamentous Chaperone to Fabricate Electronically Conductive Metalloprotein Nanowires. ACS Nano. 14(6). 6559–6569. 28 indexed citations
14.
Ranjbar, Saba, et al.. (2020). Thriving Under Stress: Pseudomonas aeruginosa Outcompetes the Background Polymicrobial Community Under Treatment Conditions in a Novel Chronic Wound Model. Frontiers in Cellular and Infection Microbiology. 10. 569685–569685. 8 indexed citations
15.
Spencer, Ryan K., Glenn L. Butterfoss, Allon I. Hochbaum, et al.. (2018). Conformations of peptoids in nanosheets result from the interplay of backbone energetics and intermolecular interactions. Proceedings of the National Academy of Sciences. 115(22). 5647–5651. 47 indexed citations
16.
Ing, Nicole L., et al.. (2018). Electronic Conductivity in Biomimetic α-Helical Peptide Nanofibers and Gels. ACS Nano. 12(3). 2652–2661. 71 indexed citations
17.
Bhattacharjee, Arunima, Rupsa Datta, Enrico Gratton, & Allon I. Hochbaum. (2017). Metabolic fingerprinting of bacteria by fluorescence lifetime imaging microscopy. Scientific Reports. 7(1). 3743–3743. 38 indexed citations
18.
Epstein, Alexander, Allon I. Hochbaum, Philseok Kim, & Joanna Aizenberg. (2011). Control of bacterial biofilm growth on surfaces by nanostructural mechanics and geometry. Nanotechnology. 22(49). 494007–494007. 119 indexed citations
19.
Hochbaum, Allon I., Daniel J. Gargas, Yun Jeong Hwang, & Peidong Yang. (2009). Single Crystalline Mesoporous Silicon Nanowires. Nano Letters. 9(10). 3550–3554. 285 indexed citations
20.
Hochbaum, Allon I. & Peidong Yang. (2009). Semiconductor Nanowires for Energy Conversion. Chemical Reviews. 110(1). 527–546. 1218 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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