Kay C. Wiese

982 total citations
56 papers, 664 citations indexed

About

Kay C. Wiese is a scholar working on Molecular Biology, Artificial Intelligence and Genetics. According to data from OpenAlex, Kay C. Wiese has authored 56 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 8 papers in Artificial Intelligence and 8 papers in Genetics. Recurrent topics in Kay C. Wiese's work include RNA and protein synthesis mechanisms (39 papers), RNA modifications and cancer (24 papers) and RNA Research and Splicing (20 papers). Kay C. Wiese is often cited by papers focused on RNA and protein synthesis mechanisms (39 papers), RNA modifications and cancer (24 papers) and RNA Research and Splicing (20 papers). Kay C. Wiese collaborates with scholars based in Canada, United States and Germany. Kay C. Wiese's co-authors include Herbert H. Tsang, Gordon J. G. Asmundson, Alexander Vasudevan, Peter J. Unrau, Nicholas Erho, Maxwell W. Libbrecht, H. Alexander Ebhardt, Christian Jacob, Scott F. Smith and Wenbo Jiang and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Kay C. Wiese

51 papers receiving 638 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kay C. Wiese Canada 14 396 65 52 48 42 56 664
Aristidis G. Vrahatis Greece 12 166 0.4× 117 1.8× 6 0.1× 10 0.2× 37 0.9× 59 474
Fei He United Kingdom 16 167 0.4× 71 1.1× 24 0.5× 4 0.1× 52 1.2× 84 754
Tsz-Wing Leung Hong Kong 12 92 0.2× 47 0.7× 15 0.3× 19 0.4× 15 0.4× 42 794
Daisuke Tominaga Japan 12 559 1.4× 186 2.9× 99 1.9× 7 0.1× 28 0.7× 35 814
Zhixiang Li China 13 161 0.4× 38 0.6× 8 0.2× 18 0.4× 57 1.4× 67 588
Gagandeep Singh India 13 88 0.2× 104 1.6× 18 0.3× 18 0.4× 24 0.6× 48 499
Shan Cong China 11 63 0.2× 113 1.7× 17 0.3× 6 0.1× 16 0.4× 65 353
Shiwei Ye China 10 63 0.2× 67 1.0× 19 0.4× 7 0.1× 46 1.1× 41 304

Countries citing papers authored by Kay C. Wiese

Since Specialization
Citations

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

Fields of papers citing papers by Kay C. Wiese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay C. Wiese. 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 Kay C. Wiese. The network helps show where Kay C. Wiese may publish in the future.

Co-authorship network of co-authors of Kay C. Wiese

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

All Works

20 of 20 papers shown
1.
2.
Libbrecht, Maxwell W., et al.. (2021). SigTools: exploratory visualization for genomic signals. Bioinformatics. 38(4). 1126–1128. 1 indexed citations
3.
Wiese, Kay C., et al.. (2019). jViz.RNA 4.0—Visualizing pseudoknots and RNA editing employing compressed tree graphs. PLoS ONE. 14(5). e0210281–e0210281. 8 indexed citations
4.
Wiese, Kay C., et al.. (2018). EvoNN. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 1449–1456. 8 indexed citations
5.
Wiese, Kay C., et al.. (2017). Numerical integration methods and layout improvements in the context of dynamic RNA visualization. BMC Bioinformatics. 18(1). 282–282. 6 indexed citations
6.
Wiese, Kay C., et al.. (2016). RNA Visualization: Relevance and the Current State-of-the-Art Focusing on Pseudoknots. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 14(3). 696–712. 10 indexed citations
7.
Tsang, Herbert H. & Kay C. Wiese. (2015). A permutation based simulated annealing algorithm to predict pseudoknotted RNA secondary structures. International Journal of Bioinformatics Research and Applications. 11(5). 375–375. 2 indexed citations
8.
Wiese, Kay C., et al.. (2011). Improving splice-junctions classification employing a novel encoding schema and decision-tree. 3. 1302–1307. 5 indexed citations
9.
Tsang, Herbert H., et al.. (2010). A study of RNA secondary structure prediction using different mutation operators. 3692. 1–7. 1 indexed citations
10.
Wiese, Kay C., et al.. (2009). Performance prediction for RNA design using parametric and non-parametric regression models. 8. 16–23. 1 indexed citations
11.
Tsang, Herbert H., et al.. (2009). rnaDesign: Local search for RNA secondary structure design. 220. 1–7. 4 indexed citations
12.
Tsang, Herbert H. & Kay C. Wiese. (2008). SARNA-Predict: Accuracy Improvement of RNA Secondary Structure Prediction Using Permutation-Based Simulated Annealing. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 7(4). 727–740. 35 indexed citations
13.
Wiese, Kay C., et al.. (2006). Graph Drawing Tools for Bioinformatics Research: An Overview. 653–658. 3 indexed citations
14.
Wiese, Kay C.. (2006). Tramontano , Anna : The Ten Most Wanted Solutions in Protein Bioinformatics.. BioMedical Engineering OnLine. 5(1). 101 indexed citations
15.
16.
Wiese, Kay C., et al.. (2006). jViz.Rna - An Interactive Graphical Tool for Visualizing RNA Secondary Structure Including Pseudoknots. 3. 659–664. 15 indexed citations
17.
Wiese, Kay C., et al.. (2005). P-RnaPredict —A Parallel Evolutionary Algorithm for RNA Folding: Effects of Pseudorandom Number Quality. IEEE Transactions on NanoBioscience. 4(3). 219–227. 4 indexed citations
18.
Wiese, Kay C., et al.. (2005). jViz.Rna —A Java Tool for RNA Secondary Structure Visualization. IEEE Transactions on NanoBioscience. 4(3). 212–218. 43 indexed citations
19.
Asmundson, Gordon J. G., et al.. (2000). Automatic and Strategic Processing of Threat Cues in Patients With Chronic Pain: A Modified Stroop Evaluation. Clinical Journal of Pain. 16(2). 144–154. 86 indexed citations
20.
Wiese, Kay C., et al.. (1998). Parallel Genetic Algorithms for Constrained Ordering Problems. The Florida AI Research Society. 101–105. 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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