Serafim Batzoglou

57.9k total citations · 8 hit papers
88 papers, 11.8k citations indexed

About

Serafim Batzoglou is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Serafim Batzoglou has authored 88 papers receiving a total of 11.8k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Molecular Biology, 21 papers in Genetics and 11 papers in Plant Science. Recurrent topics in Serafim Batzoglou's work include Genomics and Phylogenetic Studies (47 papers), RNA and protein synthesis mechanisms (19 papers) and Gene expression and cancer classification (14 papers). Serafim Batzoglou is often cited by papers focused on Genomics and Phylogenetic Studies (47 papers), RNA and protein synthesis mechanisms (19 papers) and Gene expression and cancer classification (14 papers). Serafim Batzoglou collaborates with scholars based in United States, Germany and Vietnam. Serafim Batzoglou's co-authors include Gregory M. Cooper, Arend Sidow, Michael Brudno, Eugene Davydov, Eric D. Green, Marina Sirota, David L. Goode, R. C. Edgar, Arend Sidow and Eric A. Stone and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Serafim Batzoglou

88 papers receiving 11.6k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Predicting Splicing from Primary Sequence with Deep Learning

2019 1.3k citations Jeremy F. McRae, Yang Li et al. profile →
Identifying a High Fraction of the Human Genome to be under Selective Constraint Using GERP++

2010 1.1k citations Eugene Davydov, Gregory M. Cooper et al. PLoS Computational Biology profile →
Distribution and intensity of constraint in mammalian genomic sequence

2005 912 citations Gregory M. Cooper, Eric A. Stone et al. Genome Research profile →
LAGAN and Multi-LAGAN: Efficient Tools for Large-Scale Multiple Alignment of Genomic DNA

2003 876 citations Michael Brudno, Gregory M. Cooper et al. Genome Research profile →
ProbCons: Probabilistic consistency-based multiple sequence alignment

2005 815 citations Michael Brudno, Serafim Batzoglou et al. Genome Research profile →
Genome-wide analysis of transcription factor binding sites based on ChIP-Seq data

2008 532 citations Serafim Batzoglou, Arend Sidow et al. profile →
Linking disease associations with regulatory information in the human genome

2012 518 citations Anshul Kundaje, Serafim Batzoglou et al. Genome Research profile →
Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning

2017 455 citations Bo Wang, Junjie Zhu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Serafim Batzoglou United States	41	8.9k	3.5k	1.2k	1.2k	746	88	11.8k
Vineet Bafna United States	54	7.5k 0.8×	2.8k 0.8×	917 0.8×	1.4k 1.3×	674 0.9×	199	10.4k
Yves Moreau Belgium	49	8.0k 0.9×	3.5k 1.0×	844 0.7×	1.1k 1.0×	979 1.3×	263	12.9k
Gill Bejerano United States	38	10.3k 1.2×	3.8k 1.1×	1.8k 1.5×	2.0k 1.7×	465 0.6×	93	13.0k
Charles W. Sugnet United States	12	8.4k 1.0×	2.2k 0.6×	1.1k 0.9×	1.4k 1.2×	485 0.7×	15	10.7k
Terrence S. Furey United States	30	12.3k 1.4×	3.5k 1.0×	1.7k 1.4×	1.9k 1.7×	1.0k 1.4×	81	16.0k
Tung Nguyen United States	32	3.8k 0.4×	3.0k 0.9×	2.0k 1.7×	992 0.9×	706 0.9×	129	11.1k
Donna Maglott United States	26	7.6k 0.9×	3.8k 1.1×	502 0.4×	1.7k 1.5×	342 0.5×	48	11.5k
Zohar Yakhini Israel	45	8.7k 1.0×	1.9k 0.6×	691 0.6×	1.7k 1.4×	956 1.3×	153	12.2k
Ryan Poplin United States	8	6.7k 0.8×	5.3k 1.5×	1.8k 1.5×	2.0k 1.8×	515 0.7×	12	14.1k
David B. Jaffe United States	43	7.8k 0.9×	2.5k 0.7×	1.7k 1.4×	1.0k 0.9×	300 0.4×	86	11.9k

Countries citing papers authored by Serafim Batzoglou

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Nguyen, Lan Huong, Wenyu Zhou, Rahul Sinha, et al.. (2020). Chromosome-level de novo assembly of the pig-tailed macaque genome using linked-read sequencing and HiC proximity scaffolding. GigaScience. 9(7). 9 indexed citations

Zlitni, Soumaya, Alex Bishara, Eli L. Moss, et al.. (2020). Strain-resolved microbiome sequencing reveals mobile elements that drive bacterial competition on a clinical timescale. Genome Medicine. 12(1). 50–50. 34 indexed citations

Kuleshov, Volodymyr, Jialin Ding, Braden Hancock, et al.. (2019). A machine-compiled database of genome-wide association studies. Nature Communications. 10(1). 3341–3341. 12 indexed citations

Sundaram, Laksshman, Hong Gao, Samskruthi Reddy Padigepati, et al.. (2018). Predicting the clinical impact of human mutation with deep neural networks. Nature Genetics. 50(8). 1161–1170. 263 indexed citations

Zhou, Xin, Serafim Batzoglou, Arend Sidow, & Lu Zhang. (2018). HAPDeNovo: a haplotype-based approach for filtering and phasing de novo mutations in linked read sequencing data. BMC Genomics. 19(1). 467–467. 8 indexed citations

Bishara, Alex, Eli L. Moss, Mikhail Kolmogorov, et al.. (2018). High-quality genome sequences of uncultured microbes by assembly of read clouds. Nature Biotechnology. 36(11). 1067–1075. 77 indexed citations

Ramazzotti, Daniele, Avantika Lal, Bo Wang, Serafim Batzoglou, & Arend Sidow. (2018). Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival. Nature Communications. 9(1). 4453–4453. 129 indexed citations

Wang, Bo, Lin Huang, Yuke Zhu, et al.. (2017). Vicus: Exploiting local structures to improve network-based analysis of biological data. PLoS Computational Biology. 13(10). e1005621–e1005621. 11 indexed citations

Wang, Bo, Daniele Ramazzotti, De Luca, et al.. (2017). SIMLR: a tool for large-scale single-cell analysis by multi-kernel learning. arXiv (Cornell University). 3 indexed citations

10.

Wang, Bo, et al.. (2016). Unsupervised Learning from Noisy Networks with Applications to Hi-C Data. Neural Information Processing Systems. 29. 3297–3305. 3 indexed citations

11.

Huang, Lin, et al.. (2015). Reveel: large-scale population genotyping using low-coverage sequencing data. Bioinformatics. 32(11). 1686–1696. 8 indexed citations

12.

Popic, Victoria, Raheleh Salari, Iman Hajirasouliha, et al.. (2015). Fast and scalable inference of multi-sample cancer lineages. Genome Biology. 16(1). 91–91. 133 indexed citations

13.

Cooper, Gregory M., Eric A. Stone, George Asimenos, et al.. (2005). Distribution and intensity of constraint in mammalian genomic sequence. Genome Research. 15(7). 901–913. 912 indexed citations breakdown →

14.

Shulman, Joshua, Michael Brudno, & Serafim Batzoglou. (2004). PROBCONS: probabilistic consistency-based multiple alignment of amino acid sequences. National Conference on Artificial Intelligence. 703–708. 27 indexed citations

15.

Cooper, Gregory M., Michael Brudno, Eric A. Stone, et al.. (2004). Characterization of Evolutionary Rates and Constraints in Three Mammalian Genomes. Genome Research. 14(4). 539–548. 105 indexed citations

16.

Lee, Su-In & Serafim Batzoglou. (2003). ICA-based Clustering of Genes from Microarray Expression Data. Neural Information Processing Systems. 16. 675–682. 5 indexed citations

17.

Brudno, Michael, et al.. (2003). Glocal alignment: finding rearrangements during alignment. Bioinformatics. 19(suppl_1). i54–i62. 342 indexed citations

18.

Brudno, Michael, Gregory M. Cooper, Eugene Davydov, et al.. (2003). LAGAN and Multi-LAGAN: Efficient Tools for Large-Scale Multiple Alignment of Genomic DNA. Genome Research. 13(4). 721–731. 876 indexed citations breakdown →

19.

Batzoglou, Serafim, Lior Pachter, Jill P. Mesirov, Bonnie Berger, & Eric S. Lander. (2000). Human and Mouse Gene Structure: Comparative Analysis and Application to Exon Prediction. Genome Research. 10(7). 950–958. 260 indexed citations

20.

Agarwala, Richa, Serafim Batzoglou, Vlado Dančík, et al.. (1997). Local rules for protein folding on a triangular lattice and generalized hydrophobicity in the HP model. Symposium on Discrete Algorithms. 390–399. 5 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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