Benjamin M. Gyori
- Molecular Biology
- Cancer Research
- Oncology
- Computational Theory and Mathematics top 10%
- Health, Toxicology and Mutagenesis top 10%
- Co-authors
- David HsuMarie‐Véronique ClementP. S. ThiagarajanGireedhar VenkatachalamPeter K. SorgerJohn A. BachmanCharles Tapley HoytKartik Subramanian
- Topics
- Biomedical Text Mining and Ontologies (10 papers)Bioinformatics and Genomic Networks (10 papers)Gene Regulatory Network Analysis (5 papers)
- 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
- Oncology 100
- Computational Theory and Mathematics 70
- Health, Toxicology and Mutagenesis 66
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 of co-authors of Benjamin M. Gyori
This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin M. Gyori. A scholar is included among the top collaborators of Benjamin M. Gyori 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 M. Gyori. Benjamin M. Gyori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 26 | |
| 5 | 5 | |
| 6 | 18 | |
| 7 | 23 | |
| 8 | 9 | |
| 9 | 17 | |
| 10 | 2 | |
| 11 | 26 | |
| 12 | 33 | |
| 13 | 5 | |
| 14 | 17 | |
| 15 | 4 | |
| 16 | 15 | |
| 17 | 20 | |
| 18 | 33 | |
| 19 | 88 | |
| 20 | OpenComet: An automated tool for comet assay image analysisbreakdown → | 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) and Gene Regulatory Network Analysis (5 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.