Yinhua Yu

7.3k citations
82 papers · 5.8k indexed · 1 hit paper · h-index 42

Yinhua Yu

81 papers receiving 5.7k citations

Hit Papers

Three Biomarkers Identified from Serum Proteomic Analysis...7412004202620112018200400600

Peers

Yinhua Yu
Comparison fields: 5 of 128
  • Reproductive Medicine 1.0k
  • Cancer Research 1.1k
  • Molecular Biology 3.8k
  • Oncology 1.2k
  • Obstetrics and Gynecology 326
Replace Daniel Rosen with:
Daniel Rosen United States
Steffen Hauptmann Germany
Lisa M. Butler Australia
Ellen S. Pizer United States
Elena Ioana Braicu Germany
Aurelia Noske Germany
Christina M. Annunziata United States
Izhak Haviv Australia
Goli Samimi United States
Toyomasa Katagiri Japan
Yinhua Yu relative to Daniel Rosen United States Daniel Rosen's profile →
Citations per field
00.5×1.5×
Daniel Rosen · 1×
Citations per year

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

The 25 scholars most cited alongside Yinhua Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yinhua Yu Line = papers co-authored together Yinhua Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20206
2 201720
3 201343
4 201350
5 20131
6 2012371
7 201235
8 201244
9 201112
10 201162
11 201072
12 2008376
13 200780
14 2007123
15
Expression of the tumor suppressor gene ARHI induces autophagic cell death in ovarian cancer cells
20052
16 200383
17 200187
18
Synergistic interaction between anti-p185HER-2 ricin A chain immunotoxins and radionuclide conjugates for inhibiting growth of ovarian and breast cancer cells that overexpress HER-2.
200011
19
The outcome of heregulin-induced activation of ovarian cancer cells depends on the relative levels of HER-2 and HER-3 expression.
199958
20 1995174

About Yinhua Yu

Yinhua Yu is a scholar working on Reproductive Medicine, Cancer Research and Genetics, having authored 82 papers that have together received 5.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (19 papers), Genetic Syndromes and Imprinting (15 papers), Ovarian cancer diagnosis and treatment (14 papers), Cancer-related molecular mechanisms research (7 papers), Cancer-related gene regulation (7 papers), Prenatal Screening and Diagnostics (7 papers), Endometrial and Cervical Cancer Treatments (6 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Reproductive Medicine (1.0k citations), Cancer Research (1.1k citations) and Molecular Biology (3.8k citations). Yinhua Yu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Robert C. Bast, Gordon B. Mills, Zhen Lü, Jinsong Liu, Robert Z. Luo, Yiling Lu, Youji Feng, Fengji Xu, Warren S.‐L. Liao and H.W.A. de Bruijn. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Clinical Oncology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026