Serafim Batzoglou
- Molecular Biology top 0.5%
- Genetics top 0.2%
- Plant Science top 2%
- Cancer Research top 1%
- Artificial Intelligence top 2%
- Co-authors
- Gregory M. CooperArend SidowMichael BrudnoEugene DavydovEric D. GreenMarina SirotaDavid L. GoodeR. C. Edgar
- Topics
- Genomics and Phylogenetic Studies (47 papers)RNA and protein synthesis mechanisms (19 papers)Gene expression and cancer classification (14 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Serafim Batzoglou
88 papers receiving 11.6k citations
Hit Papers
Peers
Comparison fields: 5 of 192
- Molecular Biology 8.9k
- Genetics 3.5k
- Plant Science 1.2k
- Cancer Research 1.2k
- Artificial Intelligence 746
Countries citing papers authored by Serafim Batzoglou
This map shows the geographic impact of Serafim Batzoglou'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 Serafim Batzoglou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Serafim Batzoglou more than expected).
Fields of papers citing papers by Serafim Batzoglou
This network shows the impact of papers produced by Serafim Batzoglou. 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 Serafim Batzoglou. The network helps show where Serafim Batzoglou may publish in the future.
Co-authorship network of co-authors of Serafim Batzoglou
This figure shows the co-authorship network connecting the top 25 collaborators of Serafim Batzoglou. A scholar is included among the top collaborators of Serafim Batzoglou 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 Serafim Batzoglou. Serafim Batzoglou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 34 | |
| 3 | 12 | |
| 4 | 8 | |
| 5 | 263 | |
| 6 | 77 | |
| 7 | 129 | |
| 8 | SIMLR: a tool for large-scale single-cell analysis by multi-kernel learning | 3 |
| 9 | 11 | |
| 10 | Unsupervised Learning from Noisy Networks with Applications to Hi-C Data | 3 |
| 11 | 8 | |
| 12 | 133 | |
| 13 | Linking disease associations with regulatory information in the human genomebreakdown → | 518 |
| 14 | Distribution and intensity of constraint in mammalian genomic sequencebreakdown → | 912 |
| 15 | PROBCONS: probabilistic consistency-based multiple alignment of amino acid sequences | 27 |
| 16 | 105 | |
| 17 | ICA-based Clustering of Genes from Microarray Expression Data | 5 |
| 18 | LAGAN and Multi-LAGAN: Efficient Tools for Large-Scale Multiple Alignment of Genomic DNAbreakdown → | 876 |
| 19 | 260 | |
| 20 | 5 |
About Serafim Batzoglou
Serafim Batzoglou is a scholar working on Aging, Molecular Biology and Genetics, having authored 88 papers that have together received 11.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (47 papers), RNA and protein synthesis mechanisms (19 papers) and Gene expression and cancer classification (14 papers). The work is most often cited by research in Molecular Biology (8.9k citations), Genetics (3.5k citations) and Cancer Research (1.2k citations). Serafim Batzoglou has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Gregory M. Cooper, Arend Sidow, Michael Brudno, Eugene Davydov, Eric D. Green, Marina Sirota, David L. Goode, R. C. Edgar, Eric A. Stone and Arend Sidow. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.