Mei Baker

3.2k total citations
58 papers, 1.4k citations indexed

About

Mei Baker is a scholar working on Genetics, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Mei Baker has authored 58 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 17 papers in Pulmonary and Respiratory Medicine and 13 papers in Immunology. Recurrent topics in Mei Baker's work include Genetics and Neurodevelopmental Disorders (15 papers), Immunodeficiency and Autoimmune Disorders (12 papers) and Cystic Fibrosis Research Advances (11 papers). Mei Baker is often cited by papers focused on Genetics and Neurodevelopmental Disorders (15 papers), Immunodeficiency and Autoimmune Disorders (12 papers) and Cystic Fibrosis Research Advances (11 papers). Mei Baker collaborates with scholars based in United States, Chile and Australia. Mei Baker's co-authors include Jinkuk Hong, Jan S. Greenberg, Philip M. Farrell, Gary Hoffman, Matthew J. Maenner, John M. Routes, Charles D. Brokopp, William J. Grossman, Daniel Mandel and Marsha Mailick Seltzer and has published in prestigious journals such as PLoS ONE, PEDIATRICS and Journal of Allergy and Clinical Immunology.

In The Last Decade

Mei Baker

57 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mei Baker United States 20 620 418 327 290 285 58 1.4k
Stephen R. Braddock United States 25 538 0.9× 525 1.3× 112 0.3× 238 0.8× 84 0.3× 71 1.7k
Nancy J. Mendelsohn United States 26 859 1.4× 651 1.6× 65 0.2× 121 0.4× 471 1.7× 51 2.1k
Beata Nowakowska Poland 21 741 1.2× 563 1.3× 60 0.2× 128 0.4× 160 0.6× 87 1.5k
Erawati V. Bawle United States 17 442 0.7× 562 1.3× 82 0.3× 71 0.2× 72 0.3× 38 1.1k
Géraldine Viot France 21 647 1.0× 674 1.6× 109 0.3× 60 0.2× 41 0.1× 56 1.4k
Salvatore Savasta Italy 23 366 0.6× 542 1.3× 94 0.3× 58 0.2× 38 0.1× 120 1.6k
Maria Piccione Italy 21 384 0.6× 408 1.0× 103 0.3× 58 0.2× 41 0.1× 78 1.0k
Elizabeth M. Rohlfs United States 18 435 0.7× 705 1.7× 425 1.3× 52 0.2× 61 0.2× 25 1.8k
Paul Kruszka United States 20 397 0.6× 453 1.1× 64 0.2× 37 0.1× 92 0.3× 66 1.1k
Bradley W. Popovich United States 19 947 1.5× 802 1.9× 301 0.9× 29 0.1× 340 1.2× 28 1.7k

Countries citing papers authored by Mei Baker

Since Specialization
Citations

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

Fields of papers citing papers by Mei Baker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Baker

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Baker. A scholar is included among the top collaborators of Mei Baker 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 Mei Baker. Mei Baker 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.
Scott, Stephen, et al.. (2025). Closing the Gap. Nurse Leader. 23(5). 102439–102439.
2.
Gaviglio, Amy, et al.. (2023). Newborn Screening for Severe Combined Immunodeficiency: Lessons Learned from Screening and Follow-Up of the Preterm Newborn Population. International Journal of Neonatal Screening. 9(4). 68–68. 4 indexed citations
3.
Baker, Mei, Amy Gaviglio, Dorota Gruber, et al.. (2022). Common Challenges and Identified Solutions for State Newborn Screening Programs during COVID-19 Pandemic. International Journal of Neonatal Screening. 8(1). 7–7. 4 indexed citations
4.
Rock, Michael J., Mei Baker, Nicholas Antos, & Philip M. Farrell. (2022). Refinement of newborn screening for cystic fibrosis with next generation sequencing. Pediatric Pulmonology. 58(3). 778–787. 17 indexed citations
5.
Allen, David B., et al.. (2021). Thyroid Hormone Function in Small for Gestational Age Term Newborns. The Journal of Pediatrics. 238. 181–186.e3. 7 indexed citations
6.
Hong, Jinkuk, Leann Smith DaWalt, Mei Baker, Elizabeth Berry‐Kravis, & Marsha R. Mailick. (2021). Is FMR1 CGG Repeat Number Polymorphism Associated With Phenotypic Variation in the General Population? Report From a Cohort of 5,499 Adults. Frontiers in Psychiatry. 12. 727085–727085. 2 indexed citations
7.
Allen, David B., et al.. (2020). Thyroid-stimulating hormone reference ranges for moderate-to-late preterm infants. Journal of Perinatology. 41(11). 2664–2667. 5 indexed citations
8.
Kemper, Alex R., et al.. (2020). Treatment Discontinuation within 3 Years of Levothyroxine Initiation among Children Diagnosed with Congenital Hypothyroidism. The Journal of Pediatrics. 223. 136–140. 13 indexed citations
9.
Allen, David B., et al.. (2019). Thyroid-Stimulating Hormone Reference Ranges for Preterm Infants. PEDIATRICS. 144(2). 26 indexed citations
10.
Page, David, Murray H. Brilliant, Mei Baker, et al.. (2019). Data-driven phenotype discovery of FMR1 premutation carriers in a population-based sample. Science Advances. 5(8). eaaw7195–eaaw7195. 26 indexed citations
11.
Ye, Zhan, et al.. (2019). Carrier frequency estimation of Zellweger spectrum disorder using ExAC database and bioinformatics tools. Genetics in Medicine. 21(9). 1969–1976. 11 indexed citations
12.
Baker, Mei, et al.. (2018). Genotypes of patients with phenylalanine hydroxylase deficiency in the Wisconsin Amish. Molecular Genetics and Metabolism Reports. 15. 75–77. 1 indexed citations
13.
Korza, George, Mei Baker, Meng Li, et al.. (2016). CGG Repeats in the 5’UTR of FMR1 RNA Regulate Translation of Other RNAs Localized in the Same RNA Granules. PLoS ONE. 11(12). e0168204–e0168204. 14 indexed citations
14.
Baker, Mei, et al.. (2015). Improving newborn screening for cystic fibrosis using next-generation sequencing technology: a technical feasibility study. Genetics in Medicine. 18(3). 231–238. 73 indexed citations
15.
Held, Patrice K., Christopher A. Haynes, Víctor R. De Jesús, & Mei Baker. (2014). Development of an assay to simultaneously measure orotic acid, amino acids, and acylcarnitines in dried blood spots. Clinica Chimica Acta. 436. 149–154. 8 indexed citations
16.
Doers, Matthew E., Michael T. Musser, Mei Baker, et al.. (2014). iPSC-Derived Forebrain Neurons from FXS Individuals Show Defects in Initial Neurite Outgrowth. Stem Cells and Development. 23(15). 1777–1787. 128 indexed citations
17.
Mailick, Marsha R., Jinkuk Hong, Paul J. Rathouz, et al.. (2014). Low-normal FMR1 CGG repeat length: phenotypic associations. Frontiers in Genetics. 5. 309–309. 27 indexed citations
18.
Maenner, Matthew J., Mei Baker, Karl W. Broman, et al.. (2013). FMR1 CGG expansions: Prevalence and sex ratios. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 162(5). 466–473. 55 indexed citations
19.
Verbsky, James, Mei Baker, William J. Grossman, et al.. (2011). Newborn Screening for Severe Combined Immunodeficiency; The Wisconsin Experience (2008–2011). Journal of Clinical Immunology. 32(1). 82–88. 102 indexed citations
20.

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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