Dan Bolser

8.5k total citations
28 papers, 1.4k citations indexed

About

Dan Bolser is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Dan Bolser has authored 28 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Genetics. Recurrent topics in Dan Bolser's work include Protein Structure and Dynamics (10 papers), Genomics and Phylogenetic Studies (9 papers) and Bioinformatics and Genomic Networks (8 papers). Dan Bolser is often cited by papers focused on Protein Structure and Dynamics (10 papers), Genomics and Phylogenetic Studies (9 papers) and Bioinformatics and Genomic Networks (8 papers). Dan Bolser collaborates with scholars based in United Kingdom, South Korea and Germany. Dan Bolser's co-authors include Paul Kersey, D. Staines, Emily Perry, Sanjeev Sharma, Leighton Pritchard, Peter Cock, Katrin Mackenzie, Graham Etherington, Glenn J. Bryan and Frank Wright and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Dan Bolser

27 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dan Bolser United Kingdom	17	794	707	167	90	70	28	1.4k
Andrew Yates United Kingdom	14	1.1k 1.4×	321 0.5×	317 1.9×	68 0.8×	126 1.8×	30	1.6k
Roberto Vera Alvarez United States	16	1.0k 1.3×	265 0.4×	186 1.1×	80 0.9×	59 0.8×	34	1.6k
Oswaldo Trelles Spain	22	701 0.9×	350 0.5×	208 1.2×	92 1.0×	18 0.3×	82	1.4k
Chris Rawlings United Kingdom	22	971 1.2×	379 0.5×	169 1.0×	31 0.3×	64 0.9×	82	1.5k
Timo Sachsenberg Germany	20	1.4k 1.8×	574 0.8×	63 0.4×	97 1.1×	79 1.1×	45	1.8k
Toshiaki Katayama Japan	17	1.6k 2.0×	127 0.2×	136 0.8×	47 0.5×	71 1.0×	46	2.1k
Michele Magrane United Kingdom	14	1.7k 2.1×	192 0.3×	211 1.3×	31 0.3×	80 1.1×	21	2.2k
Richard Holland United Kingdom	7	780 1.0×	86 0.1×	177 1.1×	87 1.0×	61 0.9×	11	1.0k
Sylvain Poux Switzerland	18	1.6k 2.0×	254 0.4×	301 1.8×	21 0.2×	65 0.9×	28	2.0k
Hervé Ménager France	13	653 0.8×	102 0.1×	146 0.9×	254 2.8×	42 0.6×	34	1.1k

Countries citing papers authored by Dan Bolser

Since Specialization

Citations

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

Fields of papers citing papers by Dan Bolser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Bolser

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

All Works

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20 of 20 papers shown

Bolser, Dan, et al.. (2023). Comparative analysis of repeat content in plant genomes, large and small. Frontiers in Plant Science. 14. 1103035–1103035. 5 indexed citations

Kim, Hui-Su, Asta Blažytė, Sungwon Jeon, et al.. (2022). LT1, an ONT long-read-based assembly scaffolded with Hi-C data and polished with short reads. SHILAP Revista de lepidopterología. 2022. 1–16. 1 indexed citations

Kim, Hak‐Min, Sungwon Jeon, Oksung Chung, et al.. (2021). Comparative analysis of 7 short-read sequencing platforms using the Korean Reference Genome: MGI and Illumina sequencing benchmark for whole-genome sequencing. GigaScience. 10(3). 33 indexed citations

Jeon, Sungwon, Asta Blažytė, Yeonsu Jeon, et al.. (2021). Regional TMPRSS2 V197M Allele Frequencies Are Correlated with COVID-19 Case Fatality Rates.. Apollo (University of Cambridge). 1 indexed citations

Jeon, Sungwon, Asta Blažytė, Yeonsu Jeon, et al.. (2021). Regional TMPRSS2 V197M Allele Frequencies Are Correlated with COVID-19 Case Fatality Rates. Molecules and Cells. 44(9). 680–687. 9 indexed citations

Jeon, Yeonsu, Sungwon Jeon, Asta Blažytė, et al.. (2021). Welfare Genome Project: A Participatory Korean Personal Genome Project With Free Health Check-Up and Genetic Report Followed by Counseling. Frontiers in Genetics. 12. 633731–633731. 9 indexed citations

Lee, Sun‐Young, Sung-Hun Lee, Chang Hoon Chae, et al.. (2020). Efficient mutation screening for cervical cancers from circulating tumor DNA in blood. BMC Cancer. 20(1). 694–694. 23 indexed citations

Bolser, Dan, D. Staines, Emily Perry, & Paul Kersey. (2016). Ensembl Plants: Integrating Tools for Visualizing, Mining, and Analyzing Plant Genomic Data. Methods in molecular biology. 1533. 1–31. 278 indexed citations

Bolser, Dan, et al.. (2015). Ensembl Plants: Integrating Tools for Visualizing, Mining, and Analyzing Plant Genomics Data. Methods in molecular biology. 1374. 115–140. 202 indexed citations

10.

Li, Jing‐Woei, Dan Bolser, Magnus Manske, et al.. (2013). The NGS WikiBook: a dynamic collaborative online training effort with long-term sustainability. Briefings in Bioinformatics. 14(5). 548–555. 5 indexed citations

11.

Jupe, Florian, Leighton Pritchard, Graham Etherington, et al.. (2012). Identification and localisation of the NB-LRR gene family within the potato genome. BMC Genomics. 13(1). 75–75. 234 indexed citations

12.

Li, Jing‐Woei, Keith Robison, Marcel Martin, et al.. (2011). The SEQanswers wiki: a wiki database of tools for high-throughput sequencing analysis. Nucleic Acids Research. 40(D1). D1313–D1317. 29 indexed citations

13.

Stehr, Henning, José M. Duarte, Michael Lappé, Jong Bhak, & Dan Bolser. (2010). PDBWiki: added value through community annotation of the Protein Data Bank. Database. 2010(0). baq009–baq009. 21 indexed citations

14.

Bolser, Dan, Ioannis Filippis, Henning Stehr, José M. Duarte, & Michael Lappé. (2008). Residue contact-count potentials are as effective as residue-residue contact-type potentials for ranking protein decoys. BMC Structural Biology. 8(1). 53–53. 9 indexed citations

15.

Gong, Sungsam, Giwan Yoon, In Sock Jang, et al.. (2005). PSIbase: a database of Protein Structural Interactome map (PSIMAP). Computer applications in the biosciences. 21(10). 2541–2543. 71 indexed citations

16.

Park, Daeui, Semin Lee, Dan Bolser, et al.. (2005). Comparative interactomics analysis of protein family interaction networks using PSIMAP (protein structural interactome map). Bioinformatics. 21(15). 3234–3240. 25 indexed citations

17.

Gong, Sungsam, et al.. (2005). A protein domain interaction interface database: InterPare. BMC Bioinformatics. 6(1). 207–207. 41 indexed citations

18.

Kim, Wankyu, Dan Bolser, & Jong Hyeok Park. (2004). Large-scale co-evolution analysis of protein structural interlogues using the global protein structural interactome map (PSIMAP). Bioinformatics. 20(7). 1138–1150. 36 indexed citations

19.

Bolser, Dan, et al.. (2003). Fast and efficient computation of domain-domaininteractions from known protein structures in the PDB.. 27–32. 1 indexed citations

20.

Bolser, Dan, et al.. (2003). Biological Network Evolution Hypothesis Applied to Protein Structural Interactome. Genomics & Informatics. 1(1). 7–19. 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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