Xin‐Zi Chi

1.8k total citations · 1 hit paper
14 papers, 1.5k citations indexed

About

Xin‐Zi Chi is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Xin‐Zi Chi has authored 14 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in Xin‐Zi Chi's work include Cancer-related Molecular Pathways (6 papers), TGF-β signaling in diseases (4 papers) and Ubiquitin and proteasome pathways (3 papers). Xin‐Zi Chi is often cited by papers focused on Cancer-related Molecular Pathways (6 papers), TGF-β signaling in diseases (4 papers) and Ubiquitin and proteasome pathways (3 papers). Xin‐Zi Chi collaborates with scholars based in South Korea, Singapore and United States. Xin‐Zi Chi's co-authors include Suk‐Chul Bae, John M. Wozney, Hyun‐Mo Ryoo, Kyeong‐Sook Lee, Qinglin Li, Eung‐Gook Kim, Toshihisa Komori, Hyun‐Jung Kim, Chisato Ueta and Yoshiaki Ito and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Molecular and Cellular Biology.

In The Last Decade

Xin‐Zi Chi

14 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Runx2 Is a Common Target of Transforming Growth Factor β1 and Bone Morphogenetic Protein 2, and Cooperation between Runx2 and Smad5 Induces Osteoblast-Specific Gene Expression in the Pluripotent Mesenchymal Precursor Cell Line C2C12

2000 760 citations Kyeong‐Sook Lee, Hyun‐Jung Kim et al. Molecular and Cellular Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Xin‐Zi Chi South Korea	9	1.2k	401	255	175	121	14	1.5k
Michael T. Engsig Denmark	8	880 0.7×	563 1.4×	420 1.6×	315 1.8×	112 0.9×	9	1.4k
Kei Yamana Japan	15	1.1k 0.9×	369 0.9×	304 1.2×	382 2.2×	39 0.3×	31	1.5k
Rachel A. Kahler United States	9	1.2k 1.0×	411 1.0×	170 0.7×	112 0.6×	86 0.7×	9	1.4k
Géraldine Perkins France	17	651 0.6×	529 1.3×	458 1.8×	152 0.9×	83 0.7×	44	1.6k
Chaitali Banerjee United States	14	1.1k 0.9×	398 1.0×	148 0.6×	241 1.4×	57 0.5×	17	1.4k
Sheila Rydziel United States	23	949 0.8×	394 1.0×	252 1.0×	178 1.0×	51 0.4×	35	1.4k
Mark M. Taketo Japan	5	1.1k 1.0×	462 1.2×	165 0.6×	149 0.9×	65 0.5×	5	1.6k
Julia Asp Sweden	18	658 0.6×	180 0.4×	151 0.6×	273 1.6×	121 1.0×	49	1.3k
Stefano Zanotti United States	29	1.7k 1.4×	353 0.9×	240 0.9×	311 1.8×	51 0.4×	54	2.1k
Jonathan A. R. Gordon United States	22	1.3k 1.1×	260 0.6×	620 2.4×	328 1.9×	53 0.4×	35	1.9k

Countries citing papers authored by Xin‐Zi Chi

Since Specialization

Citations

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

Fields of papers citing papers by Xin‐Zi Chi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin‐Zi Chi. 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 Xin‐Zi Chi. The network helps show where Xin‐Zi Chi may publish in the future.

Co-authorship network of co-authors of Xin‐Zi Chi

This figure shows the co-authorship network connecting the top 25 collaborators of Xin‐Zi Chi. A scholar is included among the top collaborators of Xin‐Zi Chi 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 Xin‐Zi Chi. Xin‐Zi Chi 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:

14 of 14 papers shown

Kim, Min‐Kyu, Xin‐Zi Chi, Eung‐Gook Kim, et al.. (2023). The TGFβ→TAK1→LATS→YAP1 Pathway Regulates the Spatiotemporal Dynamics of YAP1. Molecules and Cells. 46(10). 592–610. 2 indexed citations

Lee, Jung-Won, et al.. (2023). Role of RUNX3 in Restriction Point Regulation. Cells. 12(5). 708–708. 3 indexed citations

Lee, Jung-Won, Ok-Jun Lee, Dohun Kim, et al.. (2023). Runx3 Restoration Regresses K-Ras-Activated Mouse Lung Cancers and Inhibits Recurrence. Cells. 12(20). 2438–2438. 2 indexed citations

Lee, Jung-Won, et al.. (2020). K-Ras-Activated Cells Can Develop into Lung Tumors When Runx3-Mediated Tumor Suppressor Pathways Are Abrogated.. PubMed. 43(10). 889–897. 5 indexed citations

Lee, Jung-Won, Juwon Jang, Xin‐Zi Chi, et al.. (2019). RUNX3 regulates cell cycle-dependent chromatin dynamics by functioning as a pioneer factor of the restriction-point. Nature Communications. 10(1). 1897–1897. 41 indexed citations

Lee, Jung-Won, Juwon Jang, Xin‐Zi Chi, et al.. (2013). Runx3 Inactivation Is a Crucial Early Event in the Development of Lung Adenocarcinoma. Cancer Cell. 24(5). 603–616. 102 indexed citations

Cinghu, Senthilkumar, Jang‐Hyun Kim, Juwon Jang, et al.. (2010). Src Kinase Phosphorylates RUNX3 at Tyrosine Residues and Localizes the Protein in the Cytoplasm. Journal of Biological Chemistry. 285(13). 10122–10129. 44 indexed citations

Cinghu, Senthilkumar, Juwon Jang, Yinghui Li, et al.. (2009). Jab1/CSN5 induces the cytoplasmic localization and degradation of RUNX3. Journal of Cellular Biochemistry. 107(3). 557–565. 40 indexed citations

Chi, Xin‐Zi, Jiyeon Kim, Yong‐Hee Lee, et al.. (2009). Runt-Related Transcription Factor RUNX3 Is a Target of MDM2-Mediated Ubiquitination. Cancer Research. 69(20). 8111–8119. 47 indexed citations

10.

Oh, Byung‐Chul, Hee‐Jun Wee, Xin‐Zi Chi, et al.. (2008). E1A physically interacts with RUNX3 and inhibits its transactivation activity. Journal of Cellular Biochemistry. 105(1). 236–244. 4 indexed citations

11.

Yano, Takashi, Kosei Ito, Hiroshi Fukamachi, et al.. (2006). The RUNX3 Tumor Suppressor Upregulates Bim in Gastric Epithelial Cells Undergoing Transforming Growth Factorβ-Induced Apoptosis. Molecular and Cellular Biology. 26(12). 4474–4488. 136 indexed citations

12.

Lee, Mi‐Hye, Youn Jeong Kim, Won‐Joon Yoon, et al.. (2005). Dlx5 Specifically Regulates Runx2 Type II Expression by Binding to Homeodomain-response Elements in the Runx2 Distal Promoter. Journal of Biological Chemistry. 280(42). 35579–35587. 174 indexed citations

13.

Chi, Xin‐Zi, Kwang-Youl Lee, Kosei Ito, et al.. (2005). RUNX3 Suppresses Gastric Epithelial Cell Growth by Inducing p21^WAF1^/Cip1 Expression in Cooperation with Transforming Growth Factor β-Activated SMAD. Molecular and Cellular Biology. 25(18). 8097–8107. 149 indexed citations

14.

Lee, Kyeong‐Sook, Hyun‐Jung Kim, Qinglin Li, et al.. (2000). Runx2 Is a Common Target of Transforming Growth Factor β1 and Bone Morphogenetic Protein 2, and Cooperation between Runx2 and Smad5 Induces Osteoblast-Specific Gene Expression in the Pluripotent Mesenchymal Precursor Cell Line C2C12. Molecular and Cellular Biology. 20(23). 8783–8792. 760 indexed citations breakdown →

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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