Elizabeth F. Ryder

1.6k total citations
34 papers, 1.0k citations indexed

About

Elizabeth F. Ryder is a scholar working on Molecular Biology, Genetics and Developmental Neuroscience. According to data from OpenAlex, Elizabeth F. Ryder has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Developmental Neuroscience. Recurrent topics in Elizabeth F. Ryder's work include Genetics, Bioinformatics, and Biomedical Research (8 papers), CRISPR and Genetic Engineering (5 papers) and Animal Genetics and Reproduction (4 papers). Elizabeth F. Ryder is often cited by papers focused on Genetics, Bioinformatics, and Biomedical Research (8 papers), CRISPR and Genetic Engineering (5 papers) and Animal Genetics and Reproduction (4 papers). Elizabeth F. Ryder collaborates with scholars based in United States, Spain and Canada. Elizabeth F. Ryder's co-authors include Constance L. Cepko, Evan Y. Snyder, Donna M. Fekete, Christopher P. Austin, Juliana Pérez‐Miguelsanz, Christopher A. Walsh, John C. Lin, Jeffrey A. Golden, L. Golden and Carolina Ruiz and has published in prestigious journals such as Science, Neuron and PLoS ONE.

In The Last Decade

Elizabeth F. Ryder

33 papers receiving 994 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elizabeth F. Ryder United States 15 623 350 282 156 122 34 1.0k
Angéline Bilheu Belgium 10 871 1.4× 369 1.1× 323 1.1× 159 1.0× 49 0.4× 11 1.2k
Patricia J. Renfranz United States 9 620 1.0× 264 0.8× 356 1.3× 102 0.7× 158 1.3× 9 875
Nina S. Corsini Austria 9 855 1.4× 299 0.9× 278 1.0× 156 1.0× 61 0.5× 10 1.3k
Mathias Senften Switzerland 9 596 1.0× 212 0.6× 206 0.7× 85 0.5× 171 1.4× 12 958
Jinyoung Park United States 5 993 1.6× 327 0.9× 401 1.4× 107 0.7× 56 0.5× 17 1.4k
Se‐Jin Yoon South Korea 18 989 1.6× 194 0.6× 187 0.7× 156 1.0× 51 0.4× 27 1.4k
Taisuke Kadoshima Japan 8 1.3k 2.1× 458 1.3× 343 1.2× 153 1.0× 74 0.6× 11 1.7k
Mika Soen Japan 6 1.1k 1.8× 406 1.2× 298 1.1× 107 0.7× 59 0.5× 7 1.5k
Yuejun Chen China 20 968 1.6× 207 0.6× 520 1.8× 96 0.6× 65 0.5× 45 1.4k
Kevin J. Kim United States 12 850 1.4× 173 0.5× 226 0.8× 160 1.0× 70 0.6× 16 1.2k

Countries citing papers authored by Elizabeth F. Ryder

Since Specialization
Citations

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

Fields of papers citing papers by Elizabeth F. Ryder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elizabeth F. Ryder. 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 Elizabeth F. Ryder. The network helps show where Elizabeth F. Ryder may publish in the future.

Co-authorship network of co-authors of Elizabeth F. Ryder

This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth F. Ryder. A scholar is included among the top collaborators of Elizabeth F. Ryder 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 Elizabeth F. Ryder. Elizabeth F. Ryder 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.
Kleinschmit, Adam J., Anne Rosenwald, Elizabeth F. Ryder, et al.. (2023). Accelerating STEM education reform: linked communities of practice promote creation of open educational resources and sustainable professional development. International Journal of STEM Education. 10(1). 18 indexed citations
2.
Kleinschmit, Adam J., Elizabeth F. Ryder, Jacob L. Kerby, et al.. (2021). Community development, implementation, and assessment of a NIBLSE bioinformatics sequence similarity learning resource. PLoS ONE. 16(9). e0257404–e0257404. 6 indexed citations
3.
Gegear, Robert J., et al.. (2020). Bumblebee-Inspired C-V2X Dynamic Spectrum Access Testbed Using OpenAirInterface. 1–5. 5 indexed citations
4.
Issi, Luca, et al.. (2020). Using COVID‐19 as a teaching tool in a time of remote learning: A workflow for bioinformatic approaches to identifying candidates for therapeutic and vaccine development. Biochemistry and Molecular Biology Education. 48(5). 492–498. 4 indexed citations
5.
Ryder, Elizabeth F., William Morgan, Michael Sierk, et al.. (2020). Incubators: Building community networks and developing open educational resources to integrate bioinformatics into life science education. Biochemistry and Molecular Biology Education. 48(4). 381–390. 14 indexed citations
6.
Enke, Ray A., et al.. (2018). Using DNA Subway to Analyze Sequence Relationships. 3 indexed citations
7.
Kashpur, Olga, David Lapointe, Sakthikumar Ambady, Elizabeth F. Ryder, & Tanja Dominko. (2013). FGF2-induced effects on transcriptome associated with regeneration competence in adult human fibroblasts. BMC Genomics. 14(1). 656–656. 32 indexed citations
8.
Schmidt, Kristopher L., Michelle L. Dubuke, Meagan E. Sullender, et al.. (2012). Abelson interactor-1 (ABI-1) interacts with MRL adaptor protein MIG-10 and is required in guided cell migrations and process outgrowth in C. elegans. Developmental Biology. 373(1). 1–13. 15 indexed citations
9.
Ruiz, Carolina, et al.. (2007). Hypothesis-Driven Specialization of Gene Expression Association Rules. 2690. 48–55. 1 indexed citations
10.
Burket, Christopher T., et al.. (2006). The C. elegans gene dig-1 encodes a giant member of the immunoglobulin superfamily that promotes fasciculation of neuronal processes. Developmental Biology. 299(1). 193–205. 22 indexed citations
11.
Quinn, Christopher C., Douglas S. Pfeil, Esteban Chen, et al.. (2006). UNC-6/Netrin and SLT-1/Slit Guidance Cues Orient Axon Outgrowth Mediated by MIG-10/RIAM/Lamellipodin. Current Biology. 16(9). 845–853. 62 indexed citations
12.
Ruiz, Carolina, et al.. (2003). Distance-enhanced association rules for gene expression. Digital WPI. 34–40. 16 indexed citations
13.
Ryder, Elizabeth F., et al.. (1999). Graphical simulation of early development of the cerebral cortex. Computer Methods and Programs in Biomedicine. 59(2). 107–114. 6 indexed citations
14.
Cepko, Constance L., et al.. (1998). Lineage Analysis Using Retroviral Vectors. Methods. 14(4). 393–406. 47 indexed citations
15.
Cepko, Constance L., et al.. (1997). 3 Lineage Analysis Using Retroviral Vectors. Current topics in developmental biology. 36. 51–74. 35 indexed citations
16.
Ryder, Elizabeth F. & Constance L. Cepko. (1994). Migration patterns of clonally related granule cells and their progenitors in the developing chick cerebellum. Neuron. 12(5). 1011–1029. 118 indexed citations
17.
Cepko, Constance L., Elizabeth F. Ryder, Christopher P. Austin, Christopher A. Walsh, & Donna M. Fekete. (1993). [56] Lineage analysis using retrovirus vectors. Methods in enzymology on CD-ROM/Methods in enzymology. 225. 933–960. 79 indexed citations
18.
Cepko, Constance L., et al.. (1990). Studies of Cortical Development Using Retrovirus Vectors. Cold Spring Harbor Symposia on Quantitative Biology. 55(0). 265–278. 23 indexed citations
19.
Ryder, Elizabeth F., Evan Y. Snyder, & Constance L. Cepko. (1990). Establishment and characterization of multipotent neural cell lines using retrovirus vector‐mediated oncogene transfer. Journal of Neurobiology. 21(2). 356–375. 308 indexed citations
20.
Awerbuch, Tamara E., Elizabeth F. Ryder, & David Faraggi. (1987). A program which determines mutagenic concentrations of chemical carcinogens via a diffusion bioassay. Computer Methods and Programs in Biomedicine. 25(1). 31–38. 1 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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