I‐Ping Yang

836 total citations
23 papers, 695 citations indexed

About

I‐Ping Yang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, I‐Ping Yang has authored 23 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Cancer Research and 10 papers in Oncology. Recurrent topics in I‐Ping Yang's work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers) and Circular RNAs in diseases (8 papers). I‐Ping Yang is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers) and Circular RNAs in diseases (8 papers). I‐Ping Yang collaborates with scholars based in Taiwan and United States. I‐Ping Yang's co-authors include Jaw‐Yuan Wang, Suh‐Hang Hank Juo, Hsiang‐Lin Tsai, Ching‐Wen Huang, Hsiang‐Lin Tsai, Pei‐Chien Tsai, Ming‐Feng Hou, Zhi‐Feng Miao, Chien‐Yu Lu and Yung‐Sung Yeh and has published in prestigious journals such as PLoS ONE, European Journal of Cancer and Carcinogenesis.

In The Last Decade

I‐Ping Yang

23 papers receiving 684 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I‐Ping Yang Taiwan 14 419 318 193 73 69 23 695
Rafael Sánchez‐Sánchez Spain 16 395 0.9× 146 0.5× 67 0.3× 60 0.8× 26 0.4× 29 746
R.Michael Broad United States 11 361 0.9× 143 0.4× 138 0.7× 29 0.4× 49 0.7× 13 564
Fengbo Zhao China 16 371 0.9× 194 0.6× 88 0.5× 34 0.5× 31 0.4× 29 637
C. Corbacho Spain 11 274 0.7× 126 0.4× 143 0.7× 105 1.4× 89 1.3× 17 741
Brittany K. Matlock United States 12 300 0.7× 113 0.4× 51 0.3× 87 1.2× 28 0.4× 14 638
Kerstin Bethmann Germany 12 404 1.0× 282 0.9× 200 1.0× 86 1.2× 14 0.2× 13 1.1k
Kewen Zhou China 12 330 0.8× 136 0.4× 70 0.4× 34 0.5× 25 0.4× 19 592
Wanfu Wu United States 15 194 0.5× 72 0.2× 132 0.7× 91 1.2× 43 0.6× 27 645

Countries citing papers authored by I‐Ping Yang

Since Specialization
Citations

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

Fields of papers citing papers by I‐Ping Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I‐Ping Yang. 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 I‐Ping Yang. The network helps show where I‐Ping Yang may publish in the future.

Co-authorship network of co-authors of I‐Ping Yang

This figure shows the co-authorship network connecting the top 25 collaborators of I‐Ping Yang. A scholar is included among the top collaborators of I‐Ping Yang 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 I‐Ping Yang. I‐Ping Yang 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.
2.
Yang, I‐Ping, Yu‐Tang Chang, Yen‐Cheng Chen, et al.. (2023). MicroRNAs as Predictive Biomarkers in Patients with Colorectal Cancer Receiving Chemotherapy or Chemoradiotherapy: A Narrative Literature Review. Cancers. 15(5). 1358–1358. 9 indexed citations
3.
Yang, I‐Ping, Zhi‐Feng Miao, Yen‐Cheng Chen, et al.. (2022). Metformin Enhancement of Therapeutic Effects of 5-Fluorouracil and Oxaliplatin in Colon Cancer Cells and Nude Mice. Biomedicines. 10(5). 955–955. 11 indexed citations
4.
Yang, I‐Ping, Zhi‐Feng Miao, Ching‐Wen Huang, et al.. (2019). High blood sugar levels but not diabetes mellitus significantly enhance oxaliplatin chemoresistance in patients with stage III colorectal cancer receiving adjuvant FOLFOX6 chemotherapy. Therapeutic Advances in Medical Oncology. 11. 3862482004–3862482004. 35 indexed citations
5.
6.
Yang, I‐Ping, Hsiang‐Lin Tsai, Zhi‐Feng Miao, et al.. (2016). Development of a deregulating microRNA panel for the detection of early relapse in postoperative colorectal cancer patients. Journal of Translational Medicine. 14(1). 108–108. 36 indexed citations
7.
Yang, I‐Ping, et al.. (2016). Development of a deregulating MicroRNA panel for the detection of early relapse in postoperative colorectal cancer patients. European Journal of Cancer. 61. S180–S180. 2 indexed citations
8.
Tsai, Hsiang‐Lin, Chih‐Hung Lin, Ching‐Wen Huang, et al.. (2015). Decreased peritherapeutic VEGF expression could be a predictor of responsiveness to first-line FOLFIRI plus bevacizumab in mCRC patients.. PubMed. 8(2). 1900–10. 12 indexed citations
9.
Tsai, Pei‐Chien, Szu‐Wei Huang, Hsiang-Lin Tsai, et al.. (2014). The Association between DNA Copy Number Aberrations at Chromosome 5q22 and Gastric Cancer. PLoS ONE. 9(9). e106624–e106624. 12 indexed citations
10.
Yang, I‐Ping, Hsiang‐Lin Tsai, Ming‐Yii Huang, et al.. (2013). The Functional Significance of MicroRNA-29c in Patients with Colorectal Cancer: A Potential Circulating Biomarker for Predicting Early Relapse. PLoS ONE. 8(6). e66842–e66842. 40 indexed citations
11.
Ma, Yi‐Shing, et al.. (2013). High Glucose Modulates Antiproliferative Effect and Cytotoxicity of 5-Fluorouracil in Human Colon Cancer Cells. DNA and Cell Biology. 33(2). 64–72. 54 indexed citations
12.
Tsai, Hsiang‐Lin, I‐Ping Yang, Ching‐Wen Huang, et al.. (2013). Clinical significance of microRNA-148a in patients with early relapse of stage II stage and III colorectal cancer after curative resection. Translational research. 162(4). 258–268. 47 indexed citations
13.
Huang, Ming‐Yii, Hung‐Chang Chen, I‐Ping Yang, et al.. (2013). Tumorigenesis and tumor progression related gene expression profiles in colorectal cancer. Cancer Biomarkers. 13(4). 269–279. 12 indexed citations
14.
Tsai, Hsiang‐Lin, Yung‐Sung Yeh, Yu‐Tang Chang, et al.. (2012). Co‐existence of cyclin D1 and vascular endothelial growth factor protein expression is a poor prognostic factor for UICC stage I–III colorectal cancer patients after curative resection. Journal of Surgical Oncology. 107(2). 148–154. 17 indexed citations
15.
Yang, I‐Ping, Hsiang‐Lin Tsai, Ming‐Feng Hou, et al.. (2012). MicroRNA-93 inhibits tumor growth and early relapse of human colorectal cancer by affecting genes involved in the cell cycle. Carcinogenesis. 33(8). 1522–1530. 77 indexed citations
16.
Yang, I‐Ping, Chih‐Hung Lin, Chee‐Yin Chai, et al.. (2012). Predictive value of vascular endothelial growth factor overexpression in early relapse of colorectal cancer patients after curative resection. International Journal of Colorectal Disease. 28(3). 415–424. 28 indexed citations
17.
Tsai, Hsiang‐Lin, Yung‐Sung Yeh, Chao‐Wen Chen, et al.. (2012). Comparison of Mini Laparotomy with Conventional Laparotomy as the Surgical Approach in Stage I-III Colorectal Cancer Patients: Appealing Outcomes. Hepatogastroenterology. 59(119). 2132–6. 5 indexed citations
18.
Hsi, Edward, et al.. (2012). Computational Analysis of mRNA Expression Profiles Identifies MicroRNA-29a/c as Predictor of Colorectal Cancer Early Recurrence. PLoS ONE. 7(2). e31587–e31587. 56 indexed citations
19.
Wang, Jaw‐Yuan, I‐Ping Yang, Deng‐Chyang Wu, et al.. (2010). Functional glutathione peroxidase 3 polymorphisms associated with increased risk of Taiwanese patients with gastric cancer. Clinica Chimica Acta. 411(19-20). 1432–1436. 21 indexed citations
20.
Lee, Ming‐Yang, Yu‐Hsiang Kuan, Hung‐Yi Chen, et al.. (2007). Intravenous administration of melatonin reduces the intracerebral cellular inflammatory response following transient focal cerebral ischemia in rats. Journal of Pineal Research. 42(3). 297–309. 122 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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