Geralyn Creadon‐Swindell

768 total citations
7 papers, 297 citations indexed

About

Geralyn Creadon‐Swindell is a scholar working on Molecular Biology, Clinical Biochemistry and Biochemistry. According to data from OpenAlex, Geralyn Creadon‐Swindell has authored 7 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Clinical Biochemistry and 2 papers in Biochemistry. Recurrent topics in Geralyn Creadon‐Swindell's work include Metabolism and Genetic Disorders (6 papers), RNA modifications and cancer (3 papers) and Biochemical and Molecular Research (3 papers). Geralyn Creadon‐Swindell is often cited by papers focused on Metabolism and Genetic Disorders (6 papers), RNA modifications and cancer (3 papers) and Biochemical and Molecular Research (3 papers). Geralyn Creadon‐Swindell collaborates with scholars based in United States, Germany and Belgium. Geralyn Creadon‐Swindell's co-authors include Johan L.K. Van Hove, Elaine Spector, Gunter Scharer, Michael A. Swanson, Curtis R. Coughlin, Renata C. Gallagher, Vasilis Vasiliou, Chad Brocker, Marisa W. Friederich and Kendra Bjoraker and has published in prestigious journals such as Annals of Neurology, The Journal of Pediatrics and Journal of Medical Genetics.

In The Last Decade

Geralyn Creadon‐Swindell

7 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geralyn Creadon‐Swindell United States 6 205 203 107 40 37 7 297
Akiko Ichinohe Japan 10 162 0.8× 200 1.0× 178 1.7× 47 1.2× 37 1.0× 17 396
J.A.M. Smeitink Netherlands 10 218 1.1× 276 1.4× 48 0.4× 31 0.8× 31 0.8× 17 348
Ardeshir A. Monavari Ireland 7 219 1.1× 203 1.0× 50 0.5× 29 0.7× 50 1.4× 11 294
Eva Thimm Germany 11 300 1.5× 142 0.7× 116 1.1× 121 3.0× 75 2.0× 19 349
Andrea Schlune Germany 11 218 1.1× 157 0.8× 89 0.8× 51 1.3× 55 1.5× 24 319
Lucy J. Otero United Kingdom 8 180 0.9× 308 1.5× 111 1.0× 49 1.2× 27 0.7× 8 415
Elisenda Cortès‐Saladelafont Spain 9 111 0.5× 99 0.5× 36 0.3× 47 1.2× 37 1.0× 21 231
Sravan Jaggumantri Canada 6 212 1.0× 117 0.6× 80 0.7× 54 1.4× 75 2.0× 10 298
Marina Morath Germany 10 283 1.4× 224 1.1× 45 0.4× 52 1.3× 78 2.1× 16 393
Chiemi Hayakawa Japan 10 94 0.5× 145 0.7× 45 0.4× 30 0.8× 52 1.4× 20 350

Countries citing papers authored by Geralyn Creadon‐Swindell

Since Specialization
Citations

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

Fields of papers citing papers by Geralyn Creadon‐Swindell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geralyn Creadon‐Swindell. 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 Geralyn Creadon‐Swindell. The network helps show where Geralyn Creadon‐Swindell may publish in the future.

Co-authorship network of co-authors of Geralyn Creadon‐Swindell

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

All Works

7 of 7 papers shown
1.
Friederich, Marisa W., Gabrielle C. Geddes, Saskia B. Wortmann, et al.. (2021). Pathogenic variants in MRPL44 cause infantile cardiomyopathy due to a mitochondrial translation defect. Molecular Genetics and Metabolism. 133(4). 362–371. 10 indexed citations
2.
Swanson, Michael A., Elaine Spector, Kathryn E. Kronquist, et al.. (2017). d-Glyceric aciduria does not cause nonketotic hyperglycinemia: A historic co-occurrence. Molecular Genetics and Metabolism. 121(2). 80–82. 5 indexed citations
3.
Coughlin, Curtis R., Michael A. Swanson, Kathryn E. Kronquist, et al.. (2016). The genetic basis of classic nonketotic hyperglycinemia due to mutations in GLDC and AMT. Genetics in Medicine. 19(1). 104–111. 56 indexed citations
4.
Bjoraker, Kendra, Michael A. Swanson, Curtis R. Coughlin, et al.. (2016). Neurodevelopmental Outcome and Treatment Efficacy of Benzoate and Dextromethorphan in Siblings with Attenuated Nonketotic Hyperglycinemia. The Journal of Pediatrics. 170. 234–239. 47 indexed citations
5.
Coughlin, Curtis R., Gunter Scharer, Marisa W. Friederich, et al.. (2015). Mutations in the mitochondrial cysteinyl-tRNA synthase gene, CARS2, lead to a severe epileptic encephalopathy and complex movement disorder. Journal of Medical Genetics. 52(8). 532–540. 55 indexed citations
6.
Swanson, Michael A., Curtis R. Coughlin, Gunter Scharer, et al.. (2015). Biochemical and molecular predictors for prognosis in nonketotic hyperglycinemia. Annals of Neurology. 78(4). 606–618. 54 indexed citations
7.
Scharer, Gunter, Chad Brocker, Vasilis Vasiliou, et al.. (2010). The genotypic and phenotypic spectrum of pyridoxine‐dependent epilepsy due to mutations in ALDH7A1. Journal of Inherited Metabolic Disease. 33(5). 571–581. 70 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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