Ted Choi

637 total citations
7 papers, 389 citations indexed

About

Ted Choi is a scholar working on Molecular Biology, Genetics and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Ted Choi has authored 7 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Genetics and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Ted Choi's work include CRISPR and Genetic Engineering (3 papers), Pluripotent Stem Cells Research (2 papers) and Gene expression and cancer classification (2 papers). Ted Choi is often cited by papers focused on CRISPR and Genetic Engineering (3 papers), Pluripotent Stem Cells Research (2 papers) and Gene expression and cancer classification (2 papers). Ted Choi collaborates with scholars based in United States, Germany and Australia. Ted Choi's co-authors include A Stacey, William G. Cole, Rudolf Jaenisch, John F. Bateman, Rudolf Jaenisch, Cornelia M. Gorman, Manley Huang, Jae Hoon Sul, Chun Ye and Buhm Han and has published in prestigious journals such as Nature, Molecular and Cellular Biology and Cell stem cell.

In The Last Decade

Ted Choi

6 papers receiving 376 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ted Choi United States	6	252	216	55	31	29	7	389
Eva‐Lena Stattin Sweden	8	175 0.7×	133 0.6×	53 1.0×	22 0.7×	27 0.9×	11	307
Britta Fiebig Germany	13	489 1.9×	134 0.6×	41 0.7×	15 0.5×	19 0.7×	21	622
Lisette Nevarez United States	9	264 1.0×	242 1.1×	52 0.9×	42 1.4×	34 1.2×	13	542
Lucy Brunt United Kingdom	10	239 0.9×	68 0.3×	54 1.0×	18 0.6×	47 1.6×	13	356
Yunhua Bao United States	9	195 0.8×	92 0.4×	78 1.4×	51 1.6×	59 2.0×	12	369
M. A. Sukoyan Russia	9	268 1.1×	269 1.2×	20 0.4×	19 0.6×	61 2.1×	14	427
M. Lynn Weir Canada	8	216 0.9×	45 0.2×	47 0.9×	54 1.7×	28 1.0×	12	396
Gregory D. Gregory United States	8	413 1.6×	67 0.3×	34 0.6×	26 0.8×	38 1.3×	9	674
Kumaran Chandrasekharan United States	14	286 1.1×	77 0.4×	17 0.3×	6 0.2×	32 1.1×	17	488
Mohammad Shboul Jordan	13	358 1.4×	178 0.8×	23 0.4×	6 0.2×	53 1.8×	34	513

Countries citing papers authored by Ted Choi

Since Specialization

Citations

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

Fields of papers citing papers by Ted Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ted Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Ted Choi. A scholar is included among the top collaborators of Ted Choi 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 Ted Choi. Ted Choi 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:

7 of 7 papers shown

1.

Skelly, Daniel A., J. Matthew Mahoney, Ted Choi, et al.. (2025). Systems genetics reveals the influence of expression QTLs in mouse embryonic stem cells on transcriptional variation later in differentiated neural progenitor cells. G3 Genes Genomes Genetics. 15(7).

2.

Zhang, Tian, Gregory R. Keele, Daniel A. Skelly, et al.. (2023). Genetic dissection of the pluripotent proteome through multi-omics data integration. Cell Genomics. 3(4). 100283–100283. 8 indexed citations

3.

Ortmann, Daniel, Stephanie Brown, Anne Czechanski, et al.. (2020). Naive Pluripotent Stem Cells Exhibit Phenotypic Variability that Is Driven by Genetic Variation. Cell stem cell. 27(3). 470–481.e6. 31 indexed citations

4.

Joshi-Barr, Shivanjali, Annekathrin Haberland, Sabine Bartel, et al.. (2016). High throughput bioassay for beta1-adrenoceptor autoantibody detection. International Journal of Cardiology. 219. 98–104. 9 indexed citations

5.

Sul, Jae Hoon, Buhm Han, Chun Ye, Ted Choi, & Eleazar Eskin. (2013). Effectively Identifying eQTLs from Multiple Tissues by Combining Mixed Model and Meta-analytic Approaches. PLoS Genetics. 9(6). e1003491–e1003491. 66 indexed citations

6.

Choi, Ted, Manley Huang, Cornelia M. Gorman, & Rudolf Jaenisch. (1991). A Generic Intron Increases Gene Expression in Transgenic Mice. Molecular and Cellular Biology. 11(6). 3070–3074. 107 indexed citations

7.

Stacey, A, et al.. (1988). Perinatal lethal osteogenesis imperfecta in transgenic mice bearing an engineered mutant pro-α1(I) collagen gene. Nature. 332(6160). 131–136. 168 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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