Boksik Cha

1.5k total citations · 1 hit paper
27 papers, 1.1k citations indexed

About

Boksik Cha is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Boksik Cha has authored 27 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Oncology and 9 papers in Cell Biology. Recurrent topics in Boksik Cha's work include Lymphatic System and Diseases (11 papers), Hippo pathway signaling and YAP/TAZ (9 papers) and Wnt/β-catenin signaling in development and cancer (7 papers). Boksik Cha is often cited by papers focused on Lymphatic System and Diseases (11 papers), Hippo pathway signaling and YAP/TAZ (9 papers) and Wnt/β-catenin signaling in development and cancer (7 papers). Boksik Cha collaborates with scholars based in South Korea, United States and Japan. Boksik Cha's co-authors include R. Sathish Srinivasan, Eek‐hoon Jho, Xin Geng, Md. Riaj Mahamud, Wantae Kim, Dongwon Choi, Joshua P. Scallan, Ogyi Park, Bin Gao and Hong Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and Genes & Development.

In The Last Decade

Boksik Cha

23 papers receiving 1.1k citations

Hit Papers

Emerging regulatory mechanisms and functions of biomolecu... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Boksik Cha South Korea 16 591 456 426 211 120 27 1.1k
Cathy Pichol-Thievend Australia 11 429 0.7× 278 0.6× 173 0.4× 73 0.3× 94 0.8× 14 731
Daniel T. Sweet United States 10 313 0.5× 309 0.7× 162 0.4× 256 1.2× 133 1.1× 13 734
Xiaowu Gu United States 16 493 0.8× 363 0.8× 214 0.5× 95 0.5× 128 1.1× 24 1.1k
Daniele Di Biagio Italy 13 608 1.0× 209 0.5× 633 1.5× 57 0.3× 57 0.5× 22 1.2k
Hirotake Ichise Japan 15 448 0.8× 328 0.7× 113 0.3× 97 0.5× 114 0.9× 21 781
Jane Healy United States 11 266 0.5× 335 0.7× 128 0.3× 175 0.8× 71 0.6× 27 772
Roxana Ola United States 14 468 0.8× 155 0.3× 130 0.3× 111 0.5× 174 1.4× 24 934
Lukas Stanczuk Sweden 7 279 0.5× 501 1.1× 100 0.2× 180 0.9× 139 1.2× 8 697
Yaroslava Ruzankina United States 7 653 1.1× 224 0.5× 116 0.3× 129 0.6× 43 0.4× 8 911
Dan Link United States 6 390 0.7× 149 0.3× 209 0.5× 77 0.4× 70 0.6× 11 753

Countries citing papers authored by Boksik Cha

Since Specialization
Citations

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

Fields of papers citing papers by Boksik Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Boksik Cha

This figure shows the co-authorship network connecting the top 25 collaborators of Boksik Cha. A scholar is included among the top collaborators of Boksik Cha 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 Boksik Cha. Boksik Cha 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.
Jeon, Soyoung, et al.. (2025). Emerging regulatory mechanisms and functions of biomolecular condensates: implications for therapeutic targets. Signal Transduction and Targeted Therapy. 10(1). 4–4. 22 indexed citations breakdown →
2.
Lim, Jae‐Sung, Eui-Hwan Choi, Yujeong Kim, et al.. (2025). Identification of YAP regulators through high-throughput screening and NanoBiT-based validation-drug repositioning for cancer therapy. Animal Cells and Systems. 29(1). 325–338.
3.
Jeon, Soyoung, et al.. (2024). Monocyte activation test (MAT) as an ethical alternative to animal testing. BMB Reports. 58(3). 105–115.
4.
Park, SeonJu, Raju Das, Nguyễn Xuân Nhiệm, et al.. (2023). ANO1-downregulation induced by schisandrathera D: a novel therapeutic target for the treatment of prostate and oral cancers. Frontiers in Pharmacology. 14. 1163970–1163970. 5 indexed citations
5.
Cha, Boksik, et al.. (2021). A novel role of Hippo-Yap/TAZ signaling pathway in lymphatic vascular development. BMB Reports. 54(6). 285–294. 6 indexed citations
6.
Geng, Xin, K. Yanagida, Racheal G. Akwii, et al.. (2020). S1PR1 regulates the quiescence of lymphatic vessels by inhibiting laminar shear stress–dependent VEGF-C signaling. JCI Insight. 5(14). 51 indexed citations
7.
Mahamud, Md. Riaj, Xin Geng, Yen‐Chun Ho, et al.. (2019). GATA2 controls lymphatic endothelial cell junctional integrity and lymphovenous valve morphogenesis through miR-126. Development. 146(21). 34 indexed citations
8.
Kim, Wantae, Yong Suk Cho, Xiaohui Wang, et al.. (2019). Hippo signaling is intrinsically regulated during cell cycle progression by APC/C Cdh1. Proceedings of the National Academy of Sciences. 116(19). 9423–9432. 47 indexed citations
9.
Yang, Ying, et al.. (2019). VE-Cadherin Is Required for Lymphatic Valve Formation and Maintenance. Cell Reports. 28(9). 2397–2412.e4. 78 indexed citations
10.
Choi, Dongwon, Eunkyung Park, Eunson Jung, et al.. (2019). Piezo1 incorporates mechanical force signals into the genetic program that governs lymphatic valve development and maintenance. JCI Insight. 4(5). 116 indexed citations
11.
Cha, Boksik, Xin Geng, Md. Riaj Mahamud, et al.. (2018). Complementary Wnt Sources Regulate Lymphatic Vascular Development via PROX1-Dependent Wnt/β-Catenin Signaling. Cell Reports. 25(3). 571–584.e5. 54 indexed citations
12.
Kim, Wantae, Sanjoy K. Khan, Yuchen Liu, et al.. (2017). Hepatic Hippo signaling inhibits protumoural microenvironment to suppress hepatocellular carcinoma. Gut. 67(9). 1692–1703. 119 indexed citations
13.
Srinivasan, Sathish & Boksik Cha. (2017). Abstract 21025: Wnt/beta Catenin Signaling Regulates Lymphatic Vascular Development. Circulation. 136(suppl_1).
14.
Moon, Sungho, Wantae Kim, So Young Kim, et al.. (2016). Phosphorylation by NLK inhibits YAP ‐14‐3‐3‐interactions and induces its nuclear localization. EMBO Reports. 18(1). 61–71. 134 indexed citations
15.
Cha, Boksik, Xin Geng, Md. Riaj Mahamud, et al.. (2016). Mechanotransduction activates canonical Wnt/β-catenin signaling to promote lymphatic vascular patterning and the development of lymphatic and lymphovenous valves. Genes & Development. 30(12). 1454–1469. 107 indexed citations
16.
Cha, Boksik, et al.. (2015). Protein Arginine Methyltransferase 1 Methylates Smurf2. Molecules and Cells. 38(8). 723–728. 13 indexed citations
17.
Cha, Boksik & Eek‐hoon Jho. (2012). Protein arginine methyltransferases (PRMTs) as therapeutic targets. Expert Opinion on Therapeutic Targets. 16(7). 651–664. 42 indexed citations
18.
Kim, Wantae, Hyunjoon Kim, Vladimir L. Katanaev, et al.. (2012). Dual functions of DP1 promote biphasic Wnt‐on and Wnt‐off states during anteroposterior neural patterning. The EMBO Journal. 31(16). 3384–3397. 12 indexed citations
19.
Cha, Boksik, et al.. (2011). Methylation by protein arginine methyltransferase 1 increases stability of Axin, a negative regulator of Wnt signaling. Oncogene. 30(20). 2379–2389. 69 indexed citations
20.
Kim, Hanjun, Dae Youn Hwang, Minseong Kim, et al.. (2010). Downregulation of Wnt/β-catenin signaling causes degeneration of hippocampal neurons in vivo. Neurobiology of Aging. 32(12). 2316.e1–2316.e15. 27 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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