Xiao‐Dan Ji

1.4k total citations
19 papers, 1.1k citations indexed

About

Xiao‐Dan Ji is a scholar working on Molecular Biology, Cell Biology and Cancer Research. According to data from OpenAlex, Xiao‐Dan Ji has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Cancer Research. Recurrent topics in Xiao‐Dan Ji's work include Hippo pathway signaling and YAP/TAZ (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Xiao‐Dan Ji is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Xiao‐Dan Ji collaborates with scholars based in China, United States and Singapore. Xiao‐Dan Ji's co-authors include Kunxin Luo, Dong Xie, Melinda M. Mulvihill, Daniel K. Nomura, Jiang‐Sha Zhao, Shuo Shi, Daniel I. Benjamin, Yuezhen Deng, Sharon M. Louie and Qiang Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Xiao‐Dan Ji

19 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao‐Dan Ji China 15 847 241 220 214 102 19 1.1k
Longchuan Chen United States 17 1.1k 1.3× 420 1.7× 157 0.7× 180 0.8× 58 0.6× 28 1.4k
Erik Wilker United States 16 1.1k 1.3× 268 1.1× 270 1.2× 95 0.4× 61 0.6× 24 1.5k
Lynn McGarry United Kingdom 18 992 1.2× 337 1.4× 345 1.6× 247 1.2× 40 0.4× 33 1.5k
Claire Racaud‐Sultan France 22 951 1.1× 320 1.3× 425 1.9× 172 0.8× 61 0.6× 40 1.8k
Manjari Dimri United States 23 1.1k 1.2× 364 1.5× 209 0.9× 232 1.1× 34 0.3× 35 1.4k
Katrina Diener United States 13 1.3k 1.6× 237 1.0× 199 0.9× 231 1.1× 50 0.5× 18 1.7k
A. Pieter J. van den Heuvel United States 13 967 1.1× 363 1.5× 160 0.7× 335 1.6× 37 0.4× 14 1.4k
Sally A. Prigent United Kingdom 16 775 0.9× 483 2.0× 188 0.9× 114 0.5× 80 0.8× 23 1.3k
Eric Lau United States 18 1.0k 1.2× 253 1.0× 292 1.3× 289 1.4× 27 0.3× 24 1.3k
Gunamani Sithanandam United States 18 1.2k 1.4× 421 1.7× 172 0.8× 174 0.8× 110 1.1× 21 1.6k

Countries citing papers authored by Xiao‐Dan Ji

Since Specialization
Citations

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

Fields of papers citing papers by Xiao‐Dan Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐Dan Ji. 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 Xiao‐Dan Ji. The network helps show where Xiao‐Dan Ji may publish in the future.

Co-authorship network of co-authors of Xiao‐Dan Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Dan Ji. A scholar is included among the top collaborators of Xiao‐Dan Ji 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 Xiao‐Dan Ji. Xiao‐Dan Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Shi, Jiangying, et al.. (2023). The interaction between apigenin and PKM2 restrains progression of colorectal cancer. The Journal of Nutritional Biochemistry. 121. 109430–109430. 18 indexed citations
2.
Li, Xingjia, et al.. (2022). Long-term outcomes of endoscopic papillary large-balloon dilation (12–15 mm) with or without limited sphincterotomy for removal of bile duct stones. Hepatobiliary & pancreatic diseases international. 22(4). 392–398. 3 indexed citations
3.
Liu, Chang, Kai Li, Zhuo Feng, et al.. (2021). Shikonin Inhibits Cholangiocarcinoma Cell Line QBC939 by Regulating Apoptosis, Proliferation, and Invasion. Cell Transplantation. 30. 2138971866–2138971866. 10 indexed citations
4.
Ji, Xiao‐Dan, et al.. (2021). Characterization of cell cycle and apoptosis in Chinese hamster ovary cell culture using flow cytometry for bioprocess monitoring. Biotechnology Progress. 38(1). e3211–e3211. 6 indexed citations
5.
Ji, Xiao‐Dan, et al.. (2020). Tuning monoclonal antibody galactosylation using Raman spectroscopy‐controlled lactic acid feeding. Biotechnology Progress. 37(1). e3085–e3085. 28 indexed citations
6.
Zhu, Qingwei, Erwan Le Scolan, Nadine S. Jahchan, et al.. (2016). SnoN Antagonizes the Hippo Kinase Complex to Promote TAZ Signaling during Breast Carcinogenesis. Developmental Cell. 37(5). 399–412. 31 indexed citations
7.
Rashidian, Juliet, Erwan Le Scolan, Xiao‐Dan Ji, et al.. (2015). Ski regulates Hippo and TAZ signaling to suppress breast cancer progression. Science Signaling. 8(363). ra14–ra14. 54 indexed citations
8.
Lu, Huasong, Yuhua Xue, Guoying Karen Yu, et al.. (2015). Compensatory induction of MYC expression by sustained CDK9 inhibition via a BRD4-dependent mechanism. eLife. 4. e06535–e06535. 110 indexed citations
9.
Mulvihill, Melinda M., Daniel I. Benjamin, Xiao‐Dan Ji, et al.. (2014). Metabolic Profiling Reveals PAFAH1B3 as a Critical Driver of Breast Cancer Pathogenicity. Chemistry & Biology. 21(7). 831–840. 40 indexed citations
10.
Ji, Xiao‐Dan, Huasong Lu, Qiang Zhou, & Kunxin Luo. (2014). LARP7 suppresses P-TEFb activity to inhibit breast cancer progression and metastasis. eLife. 3. e02907–e02907. 63 indexed citations
11.
Benjamin, Daniel I., Alyssa J. Cozzo, Xiao‐Dan Ji, et al.. (2013). Ether lipid generating enzyme AGPS alters the balance of structural and signaling lipids to fuel cancer pathogenicity. Proceedings of the National Academy of Sciences. 110(37). 14912–14917. 171 indexed citations
12.
Shi, Shuo, Yuezhen Deng, Jiang‐Sha Zhao, et al.. (2012). RACK1 Promotes Non-small-cell Lung Cancer Tumorigenicity through Activating Sonic Hedgehog Signaling Pathway. Journal of Biological Chemistry. 287(11). 7845–7858. 76 indexed citations
13.
Guo, Li, Xiao‐Dan Ji, Hong Gao, et al.. (2012). EphB3 suppresses non-small-cell lung cancer metastasis via a PP2A/RACK1/Akt signalling complex. Nature Communications. 3(1). 667–667. 101 indexed citations
14.
Deng, Yuezhen, Zhengfa Mao, Lingyun Long, et al.. (2012). RACK1 Suppresses Gastric Tumorigenesis by Stabilizing the β-Catenin Destruction Complex. Gastroenterology. 142(4). 812–823.e15. 89 indexed citations
15.
Ji, Xiao‐Dan, Li Guo, Yuxiong Feng, et al.. (2011). EphB3 Is Overexpressed in Non–Small-Cell Lung Cancer and Promotes Tumor Metastasis by Enhancing Cell Survival and Migration. Cancer Research. 71(3). 1156–1166. 87 indexed citations
16.
Zhao, Jiang‐Sha, Wenjie Li, Di Ge, et al.. (2011). Tumor Initiating Cells in Esophageal Squamous Cell Carcinomas Express High Levels of CD44. PLoS ONE. 6(6). e21419–e21419. 92 indexed citations
17.
18.
Hamanaka, Robert B., Ekaterina Bobrovnikova-Marjon, Xiao‐Dan Ji, Stephen A. Liebhaber, & J. Alan Diehl. (2008). PERK-dependent regulation of IAP translation during ER stress. Oncogene. 28(6). 910–920. 85 indexed citations
19.
Xu, Hanmei, et al.. (2005). Expression of soluble, biologically active recombinant human endostatin in Escherichia coli. Protein Expression and Purification. 41(2). 252–258. 33 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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