Yong‐Jian Deng

538 total citations
21 papers, 424 citations indexed

About

Yong‐Jian Deng is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Yong‐Jian Deng has authored 21 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Yong‐Jian Deng's work include Cancer Cells and Metastasis (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cancer Research and Treatments (2 papers). Yong‐Jian Deng is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Cancer Research and Treatments (2 papers). Yong‐Jian Deng collaborates with scholars based in China and United States. Yong‐Jian Deng's co-authors include Xiu‐Wu Bian, Yan-qing Ding, Wenting Liao, Yaping Ye, Na Tang, Yanqing Ding, Chao Liu, Lili Ma, Liang Li and Yi� Ding and has published in prestigious journals such as Scientific Reports, Brain Research and Clinical Cancer Research.

In The Last Decade

Yong‐Jian Deng

21 papers receiving 418 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yong‐Jian Deng China 12 237 153 108 68 53 21 424
Irene García‐Palmero Spain 12 249 1.1× 131 0.9× 102 0.9× 65 1.0× 57 1.1× 14 415
Elizabeth A. Loughran United States 7 202 0.9× 132 0.9× 90 0.8× 53 0.8× 61 1.2× 9 393
L. Francisco Lorenzo‐Martín Spain 12 278 1.2× 119 0.8× 74 0.7× 50 0.7× 54 1.0× 37 466
Mariam Gachechiladze Czechia 11 255 1.1× 207 1.4× 81 0.8× 66 1.0× 67 1.3× 30 486
Kazuaki Fushimi Japan 15 333 1.4× 135 0.9× 131 1.2× 52 0.8× 59 1.1× 22 486
Simona Nuzzo Italy 7 222 0.9× 214 1.4× 84 0.8× 65 1.0× 36 0.7× 10 388
Suzana Gomes United States 8 326 1.4× 103 0.7× 103 1.0× 72 1.1× 31 0.6× 14 448
Kristopher A. Lofgren United States 9 278 1.2× 198 1.3× 88 0.8× 35 0.5× 52 1.0× 20 451
Kelly E. Craven United States 9 233 1.0× 204 1.3× 125 1.2× 61 0.9× 50 0.9× 15 441

Countries citing papers authored by Yong‐Jian Deng

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Jian Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong‐Jian Deng. 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 Yong‐Jian Deng. The network helps show where Yong‐Jian Deng may publish in the future.

Co-authorship network of co-authors of Yong‐Jian Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Yong‐Jian Deng. A scholar is included among the top collaborators of Yong‐Jian Deng 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 Yong‐Jian Deng. Yong‐Jian Deng 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.
Xiao, Rui, Jiajia Han, Yong‐Jian Deng, et al.. (2024). AGTR1: a potential biomarker associated with the occurrence and prognosis of lung adenocarcinoma. Frontiers in Oncology. 14. 1441235–1441235. 1 indexed citations
3.
Zhou, Mei, et al.. (2023). Echocardiography-based machine learning algorithm for distinguishing ischemic cardiomyopathy from dilated cardiomyopathy. BMC Cardiovascular Disorders. 23(1). 476–476. 11 indexed citations
4.
Ma, Lili, Lili Guo, Yang Luo, et al.. (2020). Cdc42 subcellular relocation in response to VEGF/NRP1 engagement is associated with the poor prognosis of colorectal cancer. Cell Death and Disease. 11(3). 171–171. 15 indexed citations
5.
Zhang, Yan, Chuan‐An Wu, Dazhou Li, et al.. (2019). PRKDC is a prognostic marker for poor survival in gastric cancer patients and regulates DNA damage response. Pathology - Research and Practice. 215(8). 152509–152509. 16 indexed citations
6.
Zhang, Yan, Hongping Tang, Chuan‐An Wu, et al.. (2019). High expression of PRKDC promotes breast cancer cell growth via p38 MAPK signaling and is associated with poor survival. Molecular Genetics & Genomic Medicine. 7(11). e908–e908. 32 indexed citations
7.
Guo, Lili, Lili Ma, Chao Liu, et al.. (2018). ERp29 counteracts the suppression of malignancy mediated by endoplasmic reticulum stress and promotes the metastasis of colorectal cancer. Oncology Reports. 41(3). 1603–1615. 8 indexed citations
8.
Deng, Huan, Yong‐Jian Deng, Feiye Liu, et al.. (2017). Stomatin‑like protein 2 is overexpressed in cervical cancer and involved in tumor cell apoptosis. Oncology Letters. 14(6). 6355–6364. 11 indexed citations
9.
Ma, Lili, Lan Shen, Na Tang, et al.. (2017). Prohibitin, relocated to the front ends, can control the migration directionality of colorectal cancer cells. Oncotarget. 8(44). 76340–76356. 8 indexed citations
10.
11.
Deng, Yong‐Jian, Na Tang, Chao Liu, et al.. (2014). CLIC4, ERp29, and Smac/DIABLO Derived from Metastatic Cancer Stem–like Cells Stratify Prognostic Risks of Colorectal Cancer. Clinical Cancer Research. 20(14). 3809–3817. 42 indexed citations
12.
Ding, Yi�, Bin Chen, Jing Huang, et al.. (2014). Overexpression of Tiam1 is associated with malignant phenotypes of nasopharyngeal carcinoma. Oncology Reports. 32(2). 607–618. 8 indexed citations
13.
Liao, Wenting, Yaping Ye, Yong‐Jian Deng, Xiu‐Wu Bian, & Yan-qing Ding. (2014). Metastatic cancer stem cells: from the concept to therapeutics.. PubMed. 3(2). 46–62. 69 indexed citations
14.
Zhu, Yongtong, Chengyong Lei, Yang Luo, et al.. (2013). A modified method for isolation of bladder cancer stem cells from a MB49 murine cell line. BMC Urology. 13(1). 57–57. 15 indexed citations
15.
Li, Yingjia, Ying Wang, Dongxiao Wang, et al.. (2013). Perfusion Heterogeneity in Breast Tumors for Assessment of Angiogenesis. Journal of Ultrasound in Medicine. 32(7). 1145–1155. 20 indexed citations
16.
Qi, Songtao, Jun Pan, Yong‐Jian Deng, et al.. (2013). Does the calcification of adamantinomatous craniopharyngioma resemble the calcium deposition of osteogenesis/odontogenesis?. Histopathology. 64(3). 336–347. 8 indexed citations
17.
He, Jin, Tingting Li, Yi� Ding, et al.. (2011). Methylation status of T-lymphoma invasion and metastasis 1 promoter and its overexpression in colorectal cancer. Human Pathology. 42(4). 541–551. 24 indexed citations
18.
Wang, Yanan, Guiping Li, Yong‐Jian Deng, et al.. (2011). [Application of ⁹⁹mTc-SPECT-CT and carbon nanoparticles suspension injection in sentinel lymph node mapping for rectal cancer].. PubMed. 14(5). 352–5. 3 indexed citations
19.
Guan, Jian, Yufa Li, Yong‐Jian Deng, et al.. (2011). FMNL2 is a positive regulator of cell motility and metastasis in colorectal carcinoma. The Journal of Pathology. 224(3). 377–388. 42 indexed citations
20.
Liu, Chao, Jian Yuan, Xiaoqin Xiao, et al.. (2010). CD133+ single cell-derived progenies of colorectal cancer cell line SW480 with different invasive and metastatic potential. Clinical & Experimental Metastasis. 27(7). 517–527. 28 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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