Kam D Dahlquist

3.4k total citations · 1 hit paper
16 papers, 1.3k citations indexed

About

Kam D Dahlquist is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Kam D Dahlquist has authored 16 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Kam D Dahlquist's work include Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (5 papers) and RNA and protein synthesis mechanisms (4 papers). Kam D Dahlquist is often cited by papers focused on Gene Regulatory Network Analysis (5 papers), Bioinformatics and Genomic Networks (5 papers) and RNA and protein synthesis mechanisms (4 papers). Kam D Dahlquist collaborates with scholars based in United States. Kam D Dahlquist's co-authors include Bruce R. Conklin, Scott W Doniger, Karen Vranizan, Nathan Salomonis, Joseph D. Puglisi, Michael I. Recht, Scott C. Blanchard, Dominique Fourmy, Stephen Douthwaite and Kristina Hanspers and has published in prestigious journals such as Journal of Molecular Biology, The FASEB Journal and Genome biology.

In The Last Decade

Kam D Dahlquist

16 papers receiving 1.3k 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.

MAPPFinder: using Gene Ontology and GenMAPP to create a global gene-expression profile from microarray data

2003 703 citations Scott W Doniger, Nathan Salomonis et al. Genome biology profile →

Peers

Kam D Dahlquist

MB

GENET

CR

PHYSI

EPIDE

Olivier Golaz Switzerland

Mustafa Ünlü United States

Frida Belinky United States

John R. Yates United States

James Flynn United States

Fredrik Edfors Sweden

Andrew F. Jarnuczak United Kingdom

Bérengère Pradet‐Balade France

Jonathan Rameseder United States

John R. Yates United States

Olivier Golaz Switzerland

Kam D Dahlquist

1.1k ×1.1

MB

104 ×0.6

GENET

73 ×0.8

CR

99 ×1.3

PHYSI

63 ×0.9

EPIDE

Citations per year, relative to Kam D Dahlquist Kam D Dahlquist (= 1×) peers Olivier Golaz

Countries citing papers authored by Kam D Dahlquist

Since Specialization

Citations

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

Fields of papers citing papers by Kam D Dahlquist

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kam D Dahlquist. 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 Kam D Dahlquist. The network helps show where Kam D Dahlquist may publish in the future.

Co-authorship network of co-authors of Kam D Dahlquist

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

All Works

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16 of 16 papers shown

1.

Dahlquist, Kam D, et al.. (2021). A bioinformatics approach to investigating the structural and functional consequences of SNPs in TMPRSS2 for COVID‐19 infection. The FASEB Journal. 35(S1). 1 indexed citations

2.

Dahlquist, Kam D, Melissa L. Aikens, Joseph Dauer, et al.. (2017). An invitation to modeling: building a community with shared explicit practices. 3 indexed citations

3.

Dahlquist, Kam D, et al.. (2016). GRNsight: a web application and service for visualizing models of small- to medium-scale gene regulatory networks. PeerJ Computer Science. 2. e85–e85. 2 indexed citations

4.

Dahlquist, Kam D, et al.. (2016). GRNmap and GRNsight: open source software for dynamical systems modeling and visualization of medium-scale gene regulatory networks. Faculty of 1000 Research Ltd. 5. 1 indexed citations

5.

Dahlquist, Kam D, et al.. (2016). GRNmap and GRNsight: open source software for dynamical systems modeling and visualization of medium‐scale gene regulatory networks. The FASEB Journal. 30(S1). 1 indexed citations

6.

Dahlquist, Kam D, et al.. (2015). Parameter Estimation for Gene Regulatory Networks from Microarray Data: Cold Shock Response in Saccharomyces cerevisiae. Bulletin of Mathematical Biology. 77(8). 1457–1492. 5 indexed citations

7.

Ogando, Diego G., Kam D Dahlquist, Kannan Kunchithapautham, et al.. (2010). Candidate genes for chromosomes 6 and 10 quantitative trait loci for age-related retinal degeneration in mice.. PubMed. 16. 1004–18. 2 indexed citations

8.

Dionisio, John David N. & Kam D Dahlquist. (2008). Improving the computer science in bioinformatics through open source pedagogy. ACM SIGCSE Bulletin. 40(2). 115–119. 8 indexed citations

9.

Salomonis, Nathan, Kristina Hanspers, Alexander C. Zambon, et al.. (2007). GenMAPP 2: new features and resources for pathway analysis. BMC Bioinformatics. 8(1). 217–217. 204 indexed citations

10.

Dahlquist, Kam D. (2004). Using GenMAPP and MAPPFinder to View Microarray Data on Biological Pathways and Identify Global Trends in the Data. Current Protocols in Bioinformatics. 5(1). 14 indexed citations

11.

Segal, Mark R., Kam D Dahlquist, & Bruce R. Conklin. (2003). Regression Approaches for Microarray Data Analysis. Journal of Computational Biology. 10(6). 961–980. 3 indexed citations

12.

Doniger, Scott W, et al.. (2003). MAPPFinder: using Gene Ontology and GenMAPP to create a global gene-expression profile from microarray data. Genome biology. 4(1). 703 indexed citations breakdown →

13.

Dahlquist, Kam D & Joseph D. Puglisi. (2000). Interaction of translation initiation factor IF1 with the E. coli ribosomal A site. Journal of Molecular Biology. 299(1). 1–15. 58 indexed citations

14.

Recht, Michael I., Stephen Douthwaite, Kam D Dahlquist, & Joseph D. Puglisi. (1999). Effect of mutations in the A site of 16 S rRNA on aminoglycoside antibiotic-ribosome interaction. Journal of Molecular Biology. 286(1). 33–43. 86 indexed citations

15.

Recht, Michael I., Dominique Fourmy, Scott C. Blanchard, Kam D Dahlquist, & Joseph D. Puglisi. (1996). RNA Sequence Determinants for Aminoglycoside Binding to an A-site rRNA Model Oligonucleotide. Journal of Molecular Biology. 262(4). 421–436. 224 indexed citations

16.

Dahlquist, Kam D, et al.. (1995). Investigating the structure and function of translation initiation factor 1 in Escherichia coli.. PubMed. 170–1. 3 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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