Dana Weekes

1.3k total citations
10 papers, 358 citations indexed

About

Dana Weekes is a scholar working on Molecular Biology, Materials Chemistry and Virology. According to data from OpenAlex, Dana Weekes has authored 10 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Materials Chemistry and 1 paper in Virology. Recurrent topics in Dana Weekes's work include Bioinformatics and Genomic Networks (3 papers), Enzyme Structure and Function (3 papers) and RNA modifications and cancer (2 papers). Dana Weekes is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Enzyme Structure and Function (3 papers) and RNA modifications and cancer (2 papers). Dana Weekes collaborates with scholars based in United States, Poland and United Kingdom. Dana Weekes's co-authors include Gary B. Fogel, Adam Godzik, Ian A. Wilson, Zhanwen Li, John Wooley, Scott A. Lesley, Lukasz Jaroszewski, Ashley M. Deacon, Krzysztof Ginalski and Ying Zhang and has published in prestigious journals such as Science, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Dana Weekes

10 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dana Weekes United States	9	263	49	41	41	36	10	358
Tom Venken Belgium	10	138 0.5×	17 0.3×	15 0.4×	24 0.6×	13 0.4×	19	264
Jared B. Parker United States	9	414 1.6×	29 0.6×	19 0.5×	44 1.1×	8 0.2×	12	520
Gwo-Yu Chuang United States	7	309 1.2×	80 1.6×	71 1.7×	69 1.7×	4 0.1×	10	468
Jennifer Timm United States	13	183 0.7×	43 0.9×	16 0.4×	26 0.6×	5 0.1×	20	305
K.-C. Chou United States	10	729 2.8×	117 2.4×	21 0.5×	47 1.1×	7 0.2×	14	807
Stephanie Portelli Australia	10	253 1.0×	56 1.1×	9 0.2×	45 1.1×	7 0.2×	24	371
Jiří Hon Czechia	7	453 1.7×	22 0.4×	6 0.1×	52 1.3×	40 1.1×	7	524
Danai Moschidi France	8	183 0.7×	31 0.6×	10 0.2×	23 0.6×	20 0.6×	10	266
Khalid Kunji Qatar	8	304 1.2×	63 1.3×	9 0.2×	77 1.9×	5 0.1×	23	396
Amitava Roy United States	12	204 0.8×	43 0.9×	4 0.1×	62 1.5×	18 0.5×	23	306

Countries citing papers authored by Dana Weekes

Since Specialization

Citations

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

Fields of papers citing papers by Dana Weekes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dana Weekes

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

All Works

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10 of 10 papers shown

Eroshkin, Alexey M., Dana Weekes, Kai Post, et al.. (2013). bNAber: database of broadly neutralizing HIV antibodies. Nucleic Acids Research. 42(D1). D1133–D1139. 52 indexed citations

Xu, Qingping, Neil D. Rawlings, Carol L. Farr, et al.. (2011). Structural and Sequence Analysis of Imelysin-Like Proteins Implicated in Bacterial Iron Uptake. PLoS ONE. 6(7). e21875–e21875. 17 indexed citations

Weekes, Dana, Sanjeev Krishna, Constantina Bakolitsa, et al.. (2010). TOPSAN: a collaborative annotation environment for structural genomics. BMC Bioinformatics. 11(1). 426–426. 13 indexed citations

Xu, Qingping, Tadashi Eguchi, Irimpan I. Mathews, et al.. (2010). Insights into Substrate Specificity of Geranylgeranyl Reductases Revealed by the Structure of Digeranylgeranylglycerophospholipid Reductase, an Essential Enzyme in the Biosynthesis of Archaeal Membrane Lipids. Journal of Molecular Biology. 404(3). 403–417. 32 indexed citations

Krishna, Sanjeev, Dana Weekes, Constantina Bakolitsa, et al.. (2010). TOPSAN: use of a collaborative environment for annotating, analyzing and disseminating data on JCSG and PSI structures. Acta Crystallographica Section F Structural Biology and Crystallization Communications. 66(10). 1143–1147. 8 indexed citations

Zhang, Ying, Ines Thiele, Dana Weekes, et al.. (2009). Three-Dimensional Structural View of the Central Metabolic Network of Thermotoga maritima. Science. 325(5947). 1544–1549. 146 indexed citations

Fogel, Gary B., Dana Weekes, Gábor Varga, et al.. (2005). A statistical analysis of the TRANSFAC database. Biosystems. 81(2). 137–154. 34 indexed citations

Lesnik, Elena A., Gary B. Fogel, Dana Weekes, et al.. (2004). Identification of conserved regulatory RNA structures in prokaryotic metabolic pathway genes. Biosystems. 80(2). 145–154. 14 indexed citations

Fogel, Gary B., Dana Weekes, Rangarajan Sampath, & David J. Ecker. (2004). Parameter optimization of an evolutionary algorithm for RNA structure discovery. 607–613. 5 indexed citations

10.

Weekes, Dana & Gary B. Fogel. (2003). Evolutionary optimization, backpropagation, and data preparation issues in QSAR modeling of HIV inhibition by HEPT derivatives. Biosystems. 72(1-2). 149–158. 37 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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