Yinhua Yu

551 total citations
10 papers, 465 citations indexed

About

Yinhua Yu is a scholar working on Molecular Biology, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Yinhua Yu has authored 10 papers receiving a total of 465 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Yinhua Yu's work include Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (2 papers) and Prenatal Screening and Diagnostics (2 papers). Yinhua Yu is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), RNA modifications and cancer (2 papers) and Prenatal Screening and Diagnostics (2 papers). Yinhua Yu collaborates with scholars based in China, United States and Canada. Yinhua Yu's co-authors include Fengji Xu, Robert C. Bast, Tao Zhang, Hongyan Jin, Binhua P. Zhou, Yadi Wu, Youji Feng, Jiayi Zhou, Luoqi Jia and David Hogg and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and International Journal of Cancer.

In The Last Decade

Yinhua Yu

10 papers receiving 458 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yinhua Yu China	8	284	176	108	84	68	10	465
Joema Felipe Lima United States	10	264 0.9×	242 1.4×	214 2.0×	86 1.0×	48 0.7×	15	535
Angela Ziebarth United States	7	345 1.2×	254 1.4×	125 1.2×	94 1.1×	21 0.3×	11	516
Irina Fenic Germany	8	339 1.2×	128 0.7×	62 0.6×	73 0.9×	48 0.7×	9	455
Jay Pilrose United States	8	422 1.5×	128 0.7×	229 2.1×	87 1.0×	34 0.5×	12	567
Jörg Weimer Germany	15	410 1.4×	149 0.8×	143 1.3×	62 0.7×	150 2.2×	54	726
Shogo Shigeta Japan	15	240 0.8×	111 0.6×	130 1.2×	137 1.6×	25 0.4×	50	525
Tang Bu-jian China	8	205 0.7×	125 0.7×	120 1.1×	106 1.3×	23 0.3×	15	385
C. Minguillon Germany	10	179 0.6×	200 1.1×	99 0.9×	104 1.2×	35 0.5×	23	423
Mike Radonovich United States	4	210 0.7×	87 0.5×	121 1.1×	237 2.8×	43 0.6×	4	414
L. Edwards Australia	7	139 0.5×	142 0.8×	73 0.7×	104 1.2×	21 0.3×	7	363

Countries citing papers authored by Yinhua Yu

Since Specialization

Citations

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

Fields of papers citing papers by Yinhua Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinhua Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yinhua Yu. A scholar is included among the top collaborators of Yinhua Yu 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 Yinhua Yu. Yinhua Yu 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:

10 of 10 papers shown

1.

Wu, Jing, Xuan Feng, Yan Du, et al.. (2019). β-catenin/LIN28B promotes the proliferation of human choriocarcinoma cells via Let-7a repression. Acta Biochimica et Biophysica Sinica. 51(5). 455–462. 6 indexed citations

2.

Zhou, Jiayi, Yan Du, Yiling Lu, et al.. (2019). CD44 Expression Predicts Prognosis of Ovarian Cancer Patients Through Promoting Epithelial-Mesenchymal Transition (EMT) by Regulating Snail, ZEB1, and Caveolin-1. Frontiers in Oncology. 9. 802–802. 41 indexed citations

3.

Du, Yan, et al.. (2018). APOBEC3B up-regulation independently predicts ovarian cancer prognosis: a cohort study. Cancer Cell International. 18(1). 78–78. 28 indexed citations

4.

Jia, Nan, Jieyu Wang, Qing Li, et al.. (2016). DNA methylation promotes paired box 2 expression via myeloid zinc finger 1 in endometrial cancer. Oncotarget. 7(51). 84785–84797. 22 indexed citations

5.

Sui, Long, Qisang Guo, Zhenbo Zhang, et al.. (2010). [Expression of glyoxalase I and its effect on cell proliferation and apoptosis in endometrial carcinoma].. PubMed. 45(6). 429–33. 1 indexed citations

6.

Lin, Wenbo, Lanlan Cai, Xinyi Meng, et al.. (2009). The Roles of Multiple Importins for Nuclear Import of Murine Aristaless-related Homeobox Protein. Journal of Biological Chemistry. 284(30). 20428–20439. 22 indexed citations

7.

Jin, Hongyan, Yinhua Yu, Tao Zhang, et al.. (2009). Snail is critical for tumor growth and metastasis of ovarian carcinoma. International Journal of Cancer. 126(9). 2102–2111. 133 indexed citations

8.

Peng, Hongqi, Fengji Xu, Kelly K. Hunt, et al.. (2000). ARHI is the center of allelic deletion on chromosome 1p31 in ovarian and breast cancers. International Journal of Cancer. 86(5). 690–694. 50 indexed citations

9.

Fang, Xianjun, Xiaomei Jin, Hong-Ji Xu, et al.. (1998). Expression of p16 induces transcriptional downregulation of the RB gene. Oncogene. 16(1). 1–8. 72 indexed citations

10.

Woolas, Robert, Mark R. Conaway, Fengji Xu, et al.. (1995). Combinations of Multiple Serum Markers Are Superior to Individual Assays for Discriminating Malignant from Benign Pelvic Masses. Gynecologic Oncology. 59(1). 111–116. 90 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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