Liudmila S. Mainzer

744 total citations
12 papers, 259 citations indexed

About

Liudmila S. Mainzer is a scholar working on Molecular Biology, Genetics and Computer Networks and Communications. According to data from OpenAlex, Liudmila S. Mainzer has authored 12 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Computer Networks and Communications. Recurrent topics in Liudmila S. Mainzer's work include Genomics and Phylogenetic Studies (7 papers), Genomics and Rare Diseases (4 papers) and Genetic Associations and Epidemiology (3 papers). Liudmila S. Mainzer is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Genomics and Rare Diseases (4 papers) and Genetic Associations and Epidemiology (3 papers). Liudmila S. Mainzer collaborates with scholars based in United States, Canada and Sudan. Liudmila S. Mainzer's co-authors include Matthew E. Hudson, Morgan L. Taschuk, Jacob R. Heldenbrand, Steven N. Hart, Eric W. Klee, Michael T. Kalmbach, Saurabh Baheti, Derek E. Wildman, Matthew A. Bockol and Mathieu Wiepert and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Liudmila S. Mainzer

11 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Liudmila S. Mainzer United States	6	139	107	49	39	13	12	259
Michael T. Kalmbach United States	6	120 0.9×	89 0.8×	49 1.0×	29 0.7×	11 0.8×	8	226
Kristján Eldjárn Hjörleifsson Iceland	5	229 1.6×	72 0.7×	41 0.8×	49 1.3×	9 0.7×	6	336
Jacob R. Heldenbrand United States	5	100 0.7×	75 0.7×	47 1.0×	22 0.6×	11 0.8×	5	199
Guangqing Sun China	2	205 1.5×	211 2.0×	38 0.8×	122 3.1×	10 0.8×	3	328
Christopher R. John United Kingdom	4	188 1.4×	56 0.5×	64 1.3×	25 0.6×	11 0.8×	6	301
Taedong Yun United States	5	119 0.9×	94 0.9×	38 0.8×	28 0.7×	7 0.5×	9	224
Anney Che United States	7	296 2.1×	72 0.7×	26 0.5×	70 1.8×	20 1.5×	9	433
Sameer Paithankar United States	7	246 1.8×	142 1.3×	18 0.4×	101 2.6×	10 0.8×	8	354
Diane A. Flasch United States	8	288 2.1×	79 0.7×	138 2.8×	75 1.9×	19 1.5×	11	393
Kellen G. Cresswell United States	9	214 1.5×	49 0.5×	48 1.0×	33 0.8×	10 0.8×	12	282

Countries citing papers authored by Liudmila S. Mainzer

Since Specialization

Citations

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

Fields of papers citing papers by Liudmila S. Mainzer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liudmila S. Mainzer. 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 Liudmila S. Mainzer. The network helps show where Liudmila S. Mainzer may publish in the future.

Co-authorship network of co-authors of Liudmila S. Mainzer

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

Uelmen, Johnny A., et al.. (2024). Two-step light gradient boosted model to identify human west nile virus infection risk factor in Chicago. PLoS ONE. 19(1). e0296283–e0296283.

Xie, Xiaoman, et al.. (2021). VarSAn: associating pathways with a set of genomic variants using network analysis. Nucleic Acids Research. 49(15). 8471–8487. 1 indexed citations

Hart, Steven N., Jacob R. Heldenbrand, Matthew E. Hudson, et al.. (2021). Design considerations for workflow management systems use in production genomics research and the clinic. Scientific Reports. 11(1). 21680–21680. 14 indexed citations

Wickland, Daniel P., Yingxue Ren, Jason P. Sinnwell, et al.. (2021). Impact of variant-level batch effects on identification of genetic risk factors in large sequencing studies. PLoS ONE. 16(4). e0249305–e0249305. 5 indexed citations

Mainzer, Liudmila S., et al.. (2019). GABAC: an arithmetic coding solution for genomic data. Bioinformatics. 36(7). 2275–2277. 5 indexed citations

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

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

Heldenbrand, Jacob R., Yan W. Asmann, Faisal M. Fadlelmola, et al.. (2019). Managing genomic variant calling workflows with Swift/T. PLoS ONE. 14(7). e0211608–e0211608. 4 indexed citations

Metcalf, William W., et al.. (2018). An assessment of true and false positive detection rates of stepwise epistatic model selection as a function of sample size and number of markers. Heredity. 122(5). 660–671. 7 indexed citations

10.

Ren, Yingxue, Joseph S. Reddy, Cyril Pottier, et al.. (2018). Identification of missing variants by combining multiple analytic pipelines. BMC Bioinformatics. 19(1). 139–139. 6 indexed citations

11.

Stephens, Zachary, et al.. (2016). Simulating Next-Generation Sequencing Datasets from Empirical Mutation and Sequencing Models. PLoS ONE. 11(11). e0167047–e0167047. 44 indexed citations

12.

Banerjee, Subho S., Arjun P. Athreya, Liudmila S. Mainzer, et al.. (2016). Efficient and Scalable Workflows for Genomic Analyses. 27–36. 4 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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