Daniel N. Baker

1.4k total citations · 1 hit paper
8 papers, 830 citations indexed

About

Daniel N. Baker is a scholar working on Molecular Biology, Artificial Intelligence and Pathology and Forensic Medicine. According to data from OpenAlex, Daniel N. Baker has authored 8 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Artificial Intelligence and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Daniel N. Baker's work include Genomics and Phylogenetic Studies (4 papers), Gene expression and cancer classification (3 papers) and Single-cell and spatial transcriptomics (2 papers). Daniel N. Baker is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), Gene expression and cancer classification (3 papers) and Single-cell and spatial transcriptomics (2 papers). Daniel N. Baker collaborates with scholars based in United States and United Kingdom. Daniel N. Baker's co-authors include Florian P. Breitwieser, Steven L. Salzberg, Hunter R. Underhill, Jay Shendure, Riza M. Daza, Sabine Hellwig, Mary P. Bronner, Robert Rostomily, Jacob O. Kitzman and Noah C. Welker and has published in prestigious journals such as Bioinformatics, Genome Research and Genome biology.

In The Last Decade

Daniel N. Baker

8 papers receiving 821 citations

Hit 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.

Fragment Length of Circulating Tumor DNA

2016 474 citations Hunter R. Underhill, Jacob O. Kitzman et al. PLoS Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel N. Baker United States	5	512	422	167	151	124	8	830
Diana Noronha Nunes Brazil	16	482 0.9×	208 0.5×	162 1.0×	94 0.6×	106 0.9×	33	835
Changjin Hong United States	15	516 1.0×	78 0.2×	149 0.9×	113 0.7×	70 0.6×	38	867
Ziming Weng United States	13	476 0.9×	157 0.4×	65 0.4×	49 0.3×	71 0.6×	21	820
Jordan Madic France	13	316 0.6×	542 1.3×	300 1.8×	251 1.7×	45 0.4×	18	987
Oliver Hampton United States	13	828 1.6×	237 0.6×	149 0.9×	46 0.3×	224 1.8×	27	1.2k
Ravi Vijaya Satya United States	12	316 0.6×	152 0.4×	53 0.3×	36 0.2×	57 0.5×	25	494
Hong Ge China	14	271 0.5×	126 0.3×	151 0.9×	150 1.0×	25 0.2×	43	750
Kathryn E. Huber United States	9	119 0.2×	115 0.3×	119 0.7×	52 0.3×	88 0.7×	37	454
Kate S. Reid-Bayliss United States	5	315 0.6×	163 0.4×	53 0.3×	39 0.3×	42 0.3×	5	449
Gábor Boross Hungary	14	206 0.4×	315 0.7×	115 0.7×	21 0.1×	39 0.3×	34	685

Countries citing papers authored by Daniel N. Baker

Since Specialization

Citations

This map shows the geographic impact of Daniel N. Baker'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 Daniel N. Baker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel N. Baker more than expected).

Fields of papers citing papers by Daniel N. Baker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel N. Baker. 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 Daniel N. Baker. The network helps show where Daniel N. Baker may publish in the future.

Co-authorship network of co-authors of Daniel N. Baker

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel N. Baker. A scholar is included among the top collaborators of Daniel N. Baker 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 Daniel N. Baker. Daniel N. Baker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Saunders, Christopher T., James Holt, Daniel N. Baker, et al.. (2025). Sawfish: improving long-read structural variant discovery and genotyping with local haplotype modeling. Bioinformatics. 41(4). 2 indexed citations

2.

Baker, Daniel N. & Ben Langmead. (2023). Genomic sketching with multiplicities and locality-sensitive hashing using Dashing 2. Genome Research. 33(7). gr.277655.123–gr.277655.123. 11 indexed citations

3.

Dyjack, Nathan, Daniel N. Baker, Vladimir Braverman, Ben Langmead, & Stephanie C. Hicks. (2022). A scalable and unbiased discordance metric with H +. Biostatistics. 25(1). 188–202. 1 indexed citations

4.

Wilks, Christopher, et al.. (2021). Megadepth: efficient coverage quantification for BigWigs and BAMs. Bioinformatics. 37(18). 3014–3016. 14 indexed citations

5.

Baker, Daniel N., Nathan Dyjack, Vladimir Braverman, Stephanie C. Hicks, & Ben Langmead. (2021). Fast and memory-efficient scRNA-seq k -means clustering with various distances. PubMed. 2021. 1–8. 4 indexed citations

6.

Baker, Daniel N. & Ben Langmead. (2019). Dashing: fast and accurate genomic distances with HyperLogLog. Genome biology. 20(1). 265–265. 74 indexed citations

7.

Breitwieser, Florian P., Daniel N. Baker, & Steven L. Salzberg. (2018). KrakenUniq: confident and fast metagenomics classification using unique k-mer counts. Genome biology. 19(1). 198–198. 250 indexed citations

8.

Underhill, Hunter R., Jacob O. Kitzman, Sabine Hellwig, et al.. (2016). Fragment Length of Circulating Tumor DNA. PLoS Genetics. 12(7). e1006162–e1006162. 474 indexed citations breakdown →

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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