Mei Baker

57 papers receiving 1.4k citations

Peers

Mei Baker
Comparison fields: 5 of 88
  • Genetics 620
  • Clinical Biochemistry 111
  • Cognitive Neuroscience 285
  • Immunology 290
  • Genetics 120
Replace Stephen R. Braddock with:
Stephen R. Braddock United States
Erawati V. Bawle United States
Nancy J. Mendelsohn United States
Géraldine Viot France
Salvatore Savasta Italy
Arabella Smith Australia
Rena E. Falk United States
Beata Nowakowska Poland
Paul Kruszka United States
Carol E. Anderson United States
Mei Baker relative to Stephen R. Braddock United States Stephen R. Braddock's profile →
Citations per field
00.5×3.4×
Stephen R. Braddock · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Mei Baker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mei Baker Line = papers co-authored together Mei Baker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012151
2 2009132
3 2014128
4 2002112
5 2011102
6 201573
7 201355
8 201049
9 200443
10 201839
11 201132
12 201532
13 201427
14 201926
15 201926
16 201725
17 202023
18 202022
19 201821
20 201921

About Mei Baker

Mei Baker is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Immunology, Molecular Biology and Cognitive Neuroscience, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (15 papers), Immunodeficiency and Autoimmune Disorders (12 papers), Cystic Fibrosis Research Advances (11 papers), Autism Spectrum Disorder Research (11 papers), Neonatal Respiratory Health Research (11 papers), Metabolism and Genetic Disorders (8 papers), Respiratory viral infections research (7 papers) and Neonatal Health and Biochemistry (6 papers). The work is most often cited by research in Genetics (620 citations), Clinical Biochemistry (111 citations), Cognitive Neuroscience (285 citations), Immunology (290 citations) and Genetics (120 citations). Mei Baker has collaborated with scholars based in United States, Australia and Greece. Frequent co-authors include Jinkuk Hong, Jan S. Greenberg, Philip M. Farrell, Gary Hoffman, Matthew J. Maenner, Charles D. Brokopp, John M. Routes, William J. Grossman, Daniel Mandel and Marsha Mailick Seltzer. Their work appears in journals such as International Journal of Neonatal Screening, Journal of Allergy and Clinical Immunology, The Journal of Pediatrics, Genetics in Medicine and American Journal of Medical Genetics Part B Neuropsychiatric Genetics.

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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