Benjamin M. Gyori
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- Biomedical Text Mining and Ontologies 10
- Bioinformatics and Genomic Networks 10
- Gene Regulatory Network Analysis 5
- Microbial Metabolic Engineering and Bioproduction 4
- Genetics, Bioinformatics, and Biomedical Research 3
- Biophysics top 10%
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- Computational Drug Discovery Methods 4
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- Semantic Web and Ontologies 4
- Topic Modeling 3
- Co-authors
- David HsuMarie‐Véronique ClementP. S. ThiagarajanGireedhar VenkatachalamPeter K. SorgerJohn A. BachmanCharles Tapley HoytKartik Subramanian
- Partner nations
- United StatesGermanySingapore
In The Last Decade
Benjamin M. Gyori
27 papers receiving 893 citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Molecular Biology 592
- Cancer Research 109
- Biophysics 36
- Health, Toxicology and Mutagenesis 66
- Aging 8
Countries citing papers authored by Benjamin M. Gyori
This map shows the geographic impact of Benjamin M. Gyori'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 M. Gyori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin M. Gyori more than expected).
Fields of papers citing papers by Benjamin M. Gyori
This network shows the impact of papers produced by Benjamin M. Gyori. 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 M. Gyori. The network helps show where Benjamin M. Gyori may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Benjamin M. Gyori, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 7 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 26 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 18 | |
| 7 | 2023 | 23 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 2 | |
| 11 | 2022 | 26 | |
| 12 | 2021 | 33 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 17 | |
| 15 | 2020 | 4 | |
| 16 | 2019 | 15 | |
| 17 | 2018 | 20 | |
| 18 | 2018 | 33 | |
| 19 | 2017 | 88 | |
| 20 | OpenComet: An automated tool for comet assay image analysisbreakdown → | 2014 | 501 |
About Benjamin M. Gyori
Benjamin M. Gyori is a scholar working on Aging, Molecular Biology and Computational Theory and Mathematics, having authored 27 papers that have together received 907 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (10 papers), Bioinformatics and Genomic Networks (10 papers), Gene Regulatory Network Analysis (5 papers), Computational Drug Discovery Methods (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Semantic Web and Ontologies (4 papers), Topic Modeling (3 papers) and Genetics, Bioinformatics, and Biomedical Research (3 papers). The work is most often cited by research in Molecular Biology (592 citations), Cancer Research (109 citations) and Biophysics (36 citations). Benjamin M. Gyori has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include David Hsu, Marie‐Véronique Clement, P. S. Thiagarajan, Gireedhar Venkatachalam, Peter K. Sorger, John A. Bachman, Charles Tapley Hoyt, Kartik Subramanian, Lucian Galescu and Jeremy L. Muhlich. Their work appears in journals such as Nucleic Acids Research, Nature Immunology and Bioinformatics.
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.