Benjamin Hoover

2.3k total citations · 1 hit paper
21 papers, 1.4k citations indexed

About

Benjamin Hoover is a scholar working on Molecular Biology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Benjamin Hoover has authored 21 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Benjamin Hoover's work include Topic Modeling (3 papers), Bacillus and Francisella bacterial research (3 papers) and Natural Language Processing Techniques (3 papers). Benjamin Hoover is often cited by papers focused on Topic Modeling (3 papers), Bacillus and Francisella bacterial research (3 papers) and Natural Language Processing Techniques (3 papers). Benjamin Hoover collaborates with scholars based in United States, Switzerland and Finland. Benjamin Hoover's co-authors include Hendrik Strobelt, Rita Sattler, Jeffrey D. Rothstein, Teodoro Laino, Jiou Wang, Seth Blackshaw, Elizabeth L. Daley, Leonard Petrucelli, Christopher J. Donnelly and Jacqueline T. Pham and has published in prestigious journals such as Neuron, Trends in Neurosciences and Scientific Reports.

In The Last Decade

Benjamin Hoover

21 papers receiving 1.4k citations

Hit Papers

RNA Toxicity from the ALS/FTD C9ORF72 Expansion Is Mitiga... 2013 2026 2017 2021 2013 200 400 600

Peers

Benjamin Hoover
D. Michael Ando United States
Guanghua Xiao United States
Sushil Sharma United States
Donald E. Walker United States
Gaia Skibinski United States
Jasmin Fisher United Kingdom
Benjamin Hoover
Citations per year, relative to Benjamin Hoover Benjamin Hoover (= 1×) peers Jingzhong Zhang

Countries citing papers authored by Benjamin Hoover

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Hoover

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benjamin Hoover

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin Hoover. A scholar is included among the top collaborators of Benjamin Hoover 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 Benjamin Hoover. Benjamin Hoover 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.
Hoover, Benjamin, Hendrik Strobelt, Zijie J. Wang, et al.. (2024). Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion. 96–100. 7 indexed citations
2.
Wang, Zijie J., et al.. (2023). DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models. 893–911. 62 indexed citations
3.
Park, Haekyu, Benjamin Hoover, Omar Shaikh, et al.. (2023). Concept Evolution in Deep Learning Training: A Unified Interpretation Framework and Discoveries. 2044–2054. 1 indexed citations
4.
Chen, Wenqiang, Weikang Cai, Benjamin Hoover, & C. Ronald Kahn. (2022). Insulin action in the brain: cell types, circuits, and diseases. Trends in Neurosciences. 45(5). 384–400. 87 indexed citations
5.
Hoover, Benjamin, et al.. (2022). Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior. CHI Conference on Human Factors in Computing Systems. 1–17. 34 indexed citations
6.
Strobelt, Hendrik, Albert Webson, Victor Sanh, et al.. (2022). Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation With Large Language Models. IEEE Transactions on Visualization and Computer Graphics. 29(1). 1–11. 108 indexed citations
7.
Aylett-Bullock, Joseph, et al.. (2021). Operational response simulation tool for epidemics within refugee and IDP settlements: A scenario-based case study of the Cox’s Bazar settlement. PLoS Computational Biology. 17(10). e1009360–e1009360. 10 indexed citations
8.
Ashktorab, Zahra, Casey Dugan, James Johnson, et al.. (2021). The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game. 423–433. 1 indexed citations
9.
Schwaller, Philippe, Benjamin Hoover, Jean‐Louis Reymond, Hendrik Strobelt, & Teodoro Laino. (2021). Extraction of organic chemistry grammar from unsupervised learning of chemical reactions. Science Advances. 7(15). 167 indexed citations
10.
Chenthamarakshan, Vijil, Payel Das, Samuel C. Hoffman, et al.. (2020). CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. neural information processing systems. 33. 4320–4332. 30 indexed citations
11.
Hoover, Benjamin, Hendrik Strobelt, & Sebastian Gehrmann. (2020). exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models. 187–196. 75 indexed citations
12.
Moreb, Eirik A., et al.. (2017). Managing the SOS Response for Enhanced CRISPR-Cas-Based Recombineering in E. coli through Transient Inhibition of Host RecA Activity. ACS Synthetic Biology. 6(12). 2209–2218. 36 indexed citations
13.
Bachran, Christopher, P. K. Gupta, Clinton E. Leysath, et al.. (2014). Reductive Methylation and Mutation of an Anthrax Toxin Fusion Protein Modulates its Stability and Cytotoxicity. Scientific Reports. 4(1). 4754–4754. 11 indexed citations
14.
Peters, Diane E., Benjamin Hoover, Shihui Liu, et al.. (2014). Comparative toxicity and efficacy of engineered anthrax lethal toxin variants with broad anti-tumor activities. Toxicology and Applied Pharmacology. 279(2). 220–229. 16 indexed citations
15.
Donnelly, Christopher J., Ping-Wu Zhang, Jacqueline T. Pham, et al.. (2013). RNA Toxicity from the ALS/FTD C9ORF72 Expansion Is Mitigated by Antisense Intervention. Neuron. 80(4). 1102–1102. 25 indexed citations
16.
Donnelly, Christopher J., Ping‐Wu Zhang, Jacqueline T. Pham, et al.. (2013). RNA Toxicity from the ALS/FTD C9ORF72 Expansion Is Mitigated by Antisense Intervention. Neuron. 80(2). 415–428. 670 indexed citations breakdown →
17.
Sattler, Rita, Betty Tyler, Benjamin Hoover, et al.. (2013). Increased expression of glutamate transporter GLT-1 in peritumoral tissue associated with prolonged survival and decreases in tumor growth in a rat model of experimental malignant glioma. Journal of neurosurgery. 119(4). 878–886. 23 indexed citations
18.
Liu, Shihui, Yi Zhang, Benjamin Hoover, & Stephen H. Leppla. (2012). The Receptors that Mediate the Direct Lethality of Anthrax Toxin. Toxins. 5(1). 1–8. 32 indexed citations
19.
Hoover, Benjamin, et al.. (1985). Good Laboratory Practices: A Comparison of the Regulations. Journal of the American College of Toxicology. 4(6). 339–345. 1 indexed citations
20.
Hoover, Benjamin, et al.. (1985). GLP Trends Today and Tomorrow. Journal of the American College of Toxicology. 4(4). 305–308. 1 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.

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