Andreas Sundquist

1.4k total citations · 1 hit paper
6 papers, 1000 citations indexed

About

Andreas Sundquist is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Andreas Sundquist has authored 6 papers receiving a total of 1000 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Ecology. Recurrent topics in Andreas Sundquist's work include Genomics and Phylogenetic Studies (4 papers), RNA and protein synthesis mechanisms (2 papers) and Genomics and Chromatin Dynamics (2 papers). Andreas Sundquist is often cited by papers focused on Genomics and Phylogenetic Studies (4 papers), RNA and protein synthesis mechanisms (2 papers) and Genomics and Chromatin Dynamics (2 papers). Andreas Sundquist collaborates with scholars based in United States. Andreas Sundquist's co-authors include Serafim Batzoglou, Anton Valouev, Elizabeth D. Anton, Arend Sidow, David S. Johnson, R Myers, Mostafa Ronaghi, Haixu Tang, M. Mark Taslimi and Sarah A. Waller and has published in prestigious journals such as Bioinformatics, PLoS ONE and Nature Methods.

In The Last Decade

Andreas Sundquist

6 papers receiving 980 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.

Genome-wide analysis of transcription factor binding sites based on ChIP-Seq data

2008 532 citations Anton Valouev, David S. Johnson et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andreas Sundquist United States	6	759	226	100	83	79	6	1000
Stephan Pabinger Austria	17	760 1.0×	284 1.3×	136 1.4×	122 1.5×	184 2.3×	34	1.2k
Shanika L. Amarasinghe Australia	6	738 1.0×	181 0.8×	173 1.7×	133 1.6×	145 1.8×	12	985
Rachael E. Workman United States	10	859 1.1×	155 0.7×	146 1.5×	99 1.2×	144 1.8×	13	1.0k
Anh Dinh United States	8	403 0.5×	125 0.6×	82 0.8×	58 0.7×	74 0.9×	19	795
Thomas W. Laver United Kingdom	18	650 0.9×	474 2.1×	110 1.1×	100 1.2×	85 1.1×	34	1.3k
Runnan Qi China	4	643 0.8×	110 0.5×	102 1.0×	40 0.5×	84 1.1×	7	859
Francesco Vezzi Sweden	17	527 0.7×	215 1.0×	233 2.3×	125 1.5×	52 0.7×	26	944
James Bullard United States	4	1.1k 1.4×	170 0.8×	134 1.3×	53 0.6×	304 3.8×	4	1.3k
Benjamin L. Moore United Kingdom	10	720 0.9×	295 1.3×	136 1.4×	65 0.8×	170 2.2×	11	944
Andrew Hollinger Canada	2	433 0.6×	151 0.7×	71 0.7×	76 0.9×	97 1.2×	3	577

Countries citing papers authored by Andreas Sundquist

Since Specialization

Citations

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

Fields of papers citing papers by Andreas Sundquist

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas Sundquist. 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 Andreas Sundquist. The network helps show where Andreas Sundquist may publish in the future.

Co-authorship network of co-authors of Andreas Sundquist

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

All Works

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6 of 6 papers shown

1.

Reid, Jeffrey G., Andrew Carroll, Narayanan Veeraraghavan, et al.. (2014). Launching genomics into the cloud: deployment of Mercury, a next generation sequence analysis pipeline. BMC Bioinformatics. 15(1). 30–30. 111 indexed citations

2.

Kyriazopoulou-Panagiotopoulou, Sofia, et al.. (2011). Reconstruction of genealogical relationships with applications to Phase III of HapMap. Bioinformatics. 27(13). i333–i341. 12 indexed citations

3.

Sundquist, Andreas, et al.. (2008). Effect of genetic divergence in identifying ancestral origin using HAPAA. Genome Research. 18(4). 676–682. 59 indexed citations

4.

Valouev, Anton, David S. Johnson, Andreas Sundquist, et al.. (2008). Genome-wide analysis of transcription factor binding sites based on ChIP-Seq data. Nature Methods. 5(9). 829–834. 532 indexed citations breakdown →

5.

Sundquist, Andreas, Mostafa Ronaghi, Haixu Tang, Pavel A. Pevzner, & Serafim Batzoglou. (2007). Whole-Genome Sequencing and Assembly with High-Throughput, Short-Read Technologies. PLoS ONE. 2(5). e484–e484. 97 indexed citations

6.

Sundquist, Andreas, Roxana Jalili, Maurice L. Druzin, et al.. (2007). Bacterial flora-typing with targeted, chip-based Pyrosequencing. BMC Microbiology. 7(1). 108–108. 189 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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