Benjamin Hoover
Impact in
Papers in
-
- Bacillus and Francisella bacterial research 3
-
- Natural Language Processing Techniques 3
- Topic Modeling 3
- Adversarial Robustness in Machine Learning 2
- Co-authors
- Hendrik Strobelt (7 shared papers)Rita Sattler (3 shared papers)Teodoro Laino (2 shared papers)Jeffrey D. Rothstein (3 shared papers)Leonard Petrucelli (2 shared papers)Nicholas J. Maragakis (2 shared papers)Jacqueline T. Pham (2 shared papers)Jean‐Louis Reymond (1 shared paper)
- Journals
- Neuron (2 papers)ACS Synthetic Biology (1 paper)Journal of Psychosomatic Research (1 paper)PLoS Computational Biology (1 paper)Toxicology and Applied Pharmacology (1 paper)
- Partner nations
- United StatesSwitzerlandFinland
In The Last Decade
Benjamin Hoover
21 papers receiving 1.5k citations
Benjamin Hoover's Hit Papers
Peers
Comparison fields: 5 of 141
- Neurology 537
- Genetics 346
- Health Informatics 26
- Neurology 83
- Molecular Biology 628
Countries citing papers authored by Benjamin Hoover
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
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-authors
The 25 scholars most cited alongside Benjamin Hoover, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | RNA Toxicity from the ALS/FTD C9ORF72 Expansion Is Mitigated by Antisense Intervention Hit paper breakdown → | 2013 | 703 |
| 2 | 2021 | 180 | |
| 3 | 2022 | 121 | |
| 4 | 2022 | 104 | |
| 5 | DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models Hit paper breakdown → | 2023 | 92 |
| 6 | 2020 | 90 | |
| 7 | 2017 | 38 | |
| 8 | 2022 | 37 | |
| 9 | 2012 | 34 | |
| 10 | CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models | 2020 | 33 |
| 11 | 2013 | 26 | |
| 12 | 2013 | 23 | |
| 13 | 2014 | 17 | |
| 14 | 2014 | 11 | |
| 15 | 2021 | 10 | |
| 16 | 2024 | 8 | |
| 17 | 2025 | 4 | |
| 18 | 2021 | 2 | |
| 19 | 1985 | 1 | |
| 20 | 1985 | 1 |
About Benjamin Hoover
Benjamin Hoover is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Biotechnology and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 1.5k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers), Bacillus and Francisella bacterial research (3 papers), Amyotrophic Lateral Sclerosis Research (2 papers), Adversarial Robustness in Machine Learning (2 papers), Computational Drug Discovery Methods (2 papers), Multimodal Machine Learning Applications (2 papers) and Microbial Inactivation Methods (2 papers). The work is most often cited by research in Neurology (537 citations), Genetics (346 citations), Health Informatics (26 citations), Neurology (83 citations) and Molecular Biology (628 citations). Benjamin Hoover has collaborated with scholars based in United States, Switzerland and Finland. Frequent co-authors include Hendrik Strobelt, Rita Sattler, Teodoro Laino, Jeffrey D. Rothstein, Leonard Petrucelli, Nicholas J. Maragakis, Jacqueline T. Pham, Jean‐Louis Reymond, Elizabeth L. Daley and Frank Rigo. Their work appears in journals such as Neuron, ACS Synthetic Biology, Journal of Psychosomatic Research, PLoS Computational Biology and Toxicology and Applied Pharmacology.
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.