Ginam Cho

864 total citations
27 papers, 645 citations indexed

About

Ginam Cho is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Ginam Cho has authored 27 papers receiving a total of 645 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 9 papers in Genetics and 3 papers in Infectious Diseases. Recurrent topics in Ginam Cho's work include Genetics and Neurodevelopmental Disorders (8 papers), Congenital heart defects research (5 papers) and Epigenetics and DNA Methylation (4 papers). Ginam Cho is often cited by papers focused on Genetics and Neurodevelopmental Disorders (8 papers), Congenital heart defects research (5 papers) and Epigenetics and DNA Methylation (4 papers). Ginam Cho collaborates with scholars based in United States, South Korea and China. Ginam Cho's co-authors include Jeffrey A. Golden, Youngshin Lim, Guhung Jung, Il‐Taeg Cho, Eric D. Marsh, Hyune Mo Rho, Patricia A. Labosky, Carl T. Fulp, Ilya M. Nasrallah and Seongjin Seo and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Ginam Cho

25 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ginam Cho United States 15 440 162 110 104 51 27 645
Zhao-zhong Su United States 8 332 0.8× 295 1.8× 184 1.7× 50 0.5× 44 0.9× 9 833
Woo‐Joo Song South Korea 16 565 1.3× 251 1.5× 76 0.7× 164 1.6× 32 0.6× 18 947
Fouad Atouf United States 11 711 1.6× 319 2.0× 145 1.3× 43 0.4× 26 0.5× 24 1.0k
John J. McMahon United States 12 567 1.3× 155 1.0× 224 2.0× 111 1.1× 78 1.5× 14 874
Timothy A. Bolger United States 13 782 1.8× 91 0.6× 121 1.1× 52 0.5× 40 0.8× 16 915
Mariyam Murtaza Australia 13 317 0.7× 84 0.5× 131 1.2× 77 0.7× 36 0.7× 20 547
Jiyeon Ohk South Korea 9 454 1.0× 41 0.3× 123 1.1× 80 0.8× 37 0.7× 12 550
Margaret Po-shan Luke United States 7 1.0k 2.3× 187 1.2× 86 0.8× 55 0.5× 34 0.7× 9 1.2k
Elena Panzeri Italy 15 225 0.5× 125 0.8× 140 1.3× 118 1.1× 41 0.8× 33 587
Erica Scappini United States 13 378 0.9× 79 0.5× 83 0.8× 128 1.2× 19 0.4× 30 619

Countries citing papers authored by Ginam Cho

Since Specialization
Citations

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

Fields of papers citing papers by Ginam Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ginam Cho

This figure shows the co-authorship network connecting the top 25 collaborators of Ginam Cho. A scholar is included among the top collaborators of Ginam Cho 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 Ginam Cho. Ginam Cho 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.
Lim, Youngshin, Maia Norman, Connie Chen, et al.. (2025). Single-Molecule Array (Simoa) Technology as a Highly Sensitive Screening Tool for Protein–Protein Interactions. ACS Sensors. 10(11). 8256–8261.
2.
Lim, Youngshin, et al.. (2022). Modified Taq DNA Polymerase for Allele-Specific Ultra-Sensitive Detection of Genetic Variants. Journal of Molecular Diagnostics. 24(11). 1128–1142. 5 indexed citations
3.
Lim, Youngshin, Il‐Taeg Cho, Helmut G. Rennke, & Ginam Cho. (2021). β2-adrenergic receptor regulates ER-mitochondria contacts. Scientific Reports. 11(1). 21477–21477. 7 indexed citations
4.
Shi, Xiuyu, Youngshin Lim, Ginam Cho, et al.. (2020). PIK3R2/Pik3r2 Activating Mutations Result in Brain Overgrowth and EEG Changes. Annals of Neurology. 88(6). 1077–1094. 10 indexed citations
5.
Lim, Youngshin, Il‐Taeg Cho, Xiuyu Shi, et al.. (2019). Arx Expression Suppresses Ventralization of the Developing Dorsal Forebrain. Scientific Reports. 9(1). 226–226. 10 indexed citations
6.
Adelmant, Guillaume, et al.. (2017). Ascorbate peroxidase proximity labeling coupled with biochemical fractionation identifies promoters of endoplasmic reticulum–mitochondrial contacts. Journal of Biological Chemistry. 292(39). 16382–16392. 67 indexed citations
7.
Cho, Il‐Taeg, Youngshin Lim, Jeffrey A. Golden, & Ginam Cho. (2017). Aristaless Related Homeobox (ARX) Interacts with β-Catenin, BCL9, and P300 to Regulate Canonical Wnt Signaling. PLoS ONE. 12(1). e0170282–e0170282. 14 indexed citations
8.
Cho, Ginam, Youngshin Lim, Il‐Taeg Cho, Jacqueline C. Simonet, & Jeffrey A. Golden. (2014). Arx together with FoxA2, regulates Shh floor plate expression. Developmental Biology. 393(1). 137–148. 25 indexed citations
9.
Cho, Ginam, MacLean P. Nasrallah, Youngshin Lim, & Jeffrey A. Golden. (2012). Distinct DNA binding and transcriptional repression characteristics related to different ARX mutations. Neurogenetics. 13(1). 23–29. 14 indexed citations
10.
Cho, Ginam, Youngshin Lim, & Jeffrey A. Golden. (2010). XLMR candidate mouse gene, Zcchc12 (Sizn1) is a novel marker of Cajal–Retzius cells. Gene Expression Patterns. 11(3-4). 216–220. 9 indexed citations
11.
Cho, Ginam, Youngshin Lim, & Jeffrey A. Golden. (2009). SUMO Interaction Motifs in Sizn1 Are Required for Promyelocytic Leukemia Protein Nuclear Body Localization and for Transcriptional Activation. Journal of Biological Chemistry. 284(29). 19592–19600. 32 indexed citations
12.
Fulp, Carl T., Ginam Cho, Eric D. Marsh, et al.. (2008). Identification of Arx transcriptional targets in the developing basal forebrain. Human Molecular Genetics. 17(23). 3740–3760. 102 indexed citations
13.
Cho, Ginam, Julianne S. Collins, R. Curtis Rogers, et al.. (2008). Evidence that SIZN1 is a candidate X‐linked mental retardation gene. American Journal of Medical Genetics Part A. 146A(20). 2644–2650. 19 indexed citations
14.
Izumi, Kosuke, Michihiko Aramaki, Takehiro Kimura, et al.. (2007). Identification of a Prosencephalic-Specific Enhancer of SALL1: Comparative Genomic Approach Using the Chick Embryo. Pediatric Research. 61(6). 660–665. 8 indexed citations
15.
Lim, Youngshin, et al.. (2004). Altered BMP signaling disrupts chick diencephalic development. Mechanisms of Development. 122(4). 603–620. 24 indexed citations
16.
Cho, Ginam, et al.. (2000). Expression of Recombinant HBV Pol Proteins in HepG2 Cells. BMB Reports. 33(6). 440–447. 3 indexed citations
17.
Cho, Ginam, Sung‐Gyoo Park, & Guhung Jung. (2000). Localization of HSP90 Binding Sites in the Human Hepatitis B Virus Polymerase. Biochemical and Biophysical Research Communications. 269(1). 191–196. 20 indexed citations
18.
Seo, Seongjin, Sang Sun Kang, Ginam Cho, Hyune Mo Rho, & Guhung Jung. (1997). C/EBPα and C/EBPβ play similar roles in the transcription of the human Cu/Zn SOD gene. Gene. 203(1). 11–15. 18 indexed citations
19.
Seo, Seongjin, et al.. (1996). Spl and C/EBP-related factor regulate the transcription of human Cu/Zn SOD gene. Gene. 178(1-2). 177–185. 46 indexed citations
20.
Cho, Ginam, Jiyoung Kim, Hyune Mo Rho, & Guhung Jung. (1995). Structure-function analysis of the DNA binding domain ofSaccharomyces cerevisiaeABF1. Nucleic Acids Research. 23(15). 2980–2987. 19 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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