Mathieu Wiepert

684 total citations
6 papers, 362 citations indexed

About

Mathieu Wiepert is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Mathieu Wiepert has authored 6 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Mathieu Wiepert's work include Genomics and Rare Diseases (3 papers), Genomics and Phylogenetic Studies (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Mathieu Wiepert is often cited by papers focused on Genomics and Rare Diseases (3 papers), Genomics and Phylogenetic Studies (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Mathieu Wiepert collaborates with scholars based in United States and Canada. Mathieu Wiepert's co-authors include Liewei Wang, Vivien C. Yee, Oreste E. Salavaggione, Richard M. Weinshilboum, Robert R. Freimuth, Christopher G. Chute, Richard M. Weinshilboum, Eric D. Wieben, Steven N. Hart and Liudmila S. Mainzer and has published in prestigious journals such as BMC Bioinformatics, Frontiers in Genetics and Pharmacogenetics and Genomics.

In The Last Decade

Mathieu Wiepert

6 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mathieu Wiepert United States	5	167	102	79	57	51	6	362
Anders Buchard Denmark	12	301 1.8×	262 2.6×	33 0.4×	26 0.5×	16 0.3×	16	456
Tacey White United States	14	102 0.6×	52 0.5×	275 3.5×	81 1.4×	47 0.9×	21	592
Georgianne Tucker United States	8	288 1.7×	263 2.6×	58 0.7×	36 0.6×	33 0.6×	8	450
Masao Izawa Japan	15	252 1.5×	147 1.4×	83 1.1×	18 0.3×	51 1.0×	58	730
Mara Marongiu Italy	7	129 0.8×	66 0.6×	20 0.3×	14 0.2×	46 0.9×	9	267
Rhian Gwilliam United Kingdom	12	214 1.3×	307 3.0×	55 0.7×	36 0.6×	18 0.4×	19	797
Cristiana Pavlidis Greece	11	137 0.8×	141 1.4×	41 0.5×	14 0.2×	9 0.2×	12	501
Allan Daly United Kingdom	9	275 1.6×	179 1.8×	12 0.2×	27 0.5×	23 0.5×	10	517
Yanrui Wu China	14	123 0.7×	33 0.3×	206 2.6×	30 0.5×	33 0.6×	39	439

Countries citing papers authored by Mathieu Wiepert

Since Specialization

Citations

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

Fields of papers citing papers by Mathieu Wiepert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathieu Wiepert

This figure shows the co-authorship network connecting the top 25 collaborators of Mathieu Wiepert. A scholar is included among the top collaborators of Mathieu Wiepert 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 Mathieu Wiepert. Mathieu Wiepert 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.

Heldenbrand, Jacob R., Saurabh Baheti, Matthew A. Bockol, et al.. (2019). Recommendations for performance optimizations when using GATK3.8 and GATK4. BMC Bioinformatics. 20(1). 557–557. 35 indexed citations

2.

Baheti, Saurabh, Matthew A. Bockol, Travis Drucker, et al.. (2019). Sentieon DNASeq Variant Calling Workflow Demonstrates Strong Computational Performance and Accuracy. Frontiers in Genetics. 10. 736–736. 134 indexed citations

3.

Wiepert, Mathieu, et al.. (2017). Empowering Mayo Clinic Individualized Medicine with Genomic Data Warehousing. Journal of Personalized Medicine. 7(3). 7–7. 8 indexed citations

4.

Salavaggione, Oreste E., Liewei Wang, Mathieu Wiepert, Vivien C. Yee, & Richard M. Weinshilboum. (2005). Thiopurine S-methyltransferase pharmacogenetics: variant allele functional and comparative genomics. Pharmacogenetics and Genomics. 15(11). 801–815. 109 indexed citations

5.

Freimuth, Robert R., Mathieu Wiepert, Christopher G. Chute, Eric D. Wieben, & Richard M. Weinshilboum. (2003). Human cytosolic sulfotransferase database mining: identification of seven novel genes and pseudogenes. The Pharmacogenomics Journal. 4(1). 54–65. 73 indexed citations

6.

Nadkarni, Prakash M., et al.. (2002). Designing and implementing special-purpose databases: lessons from the pharmacogenetic network. Pharmacogenomics. 3(5). 687–696. 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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