Yeda Chen

433 citations
20 papers · 266 · h-index 9

Impact in

    • Cancer-related molecular mechanisms research
    • Bioinformatics and Genomic Networks
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer

Papers in

Yeda Chen

19 papers receiving 263 citations

Peers

Yeda Chen
Comparison fields: 5 of 70
  • Cancer Research 25
  • Molecular Biology 119
  • Pulmonary and Respiratory Medicine 44
  • Biological Psychiatry 3
  • Genetics 30
Replace Kim van Kuijk with:
Kim van Kuijk Netherlands
Annie Yim Netherlands
José Luis Cabrera-Alarcón Spain
Veronica De Simone Italy
Wendy Demos United States
Linjie Yang China
Haojun Yang China
Danny Cheng United Kingdom
Shumin Ma China
Yeda Chen relative to Kim van Kuijk Netherlands Kim van Kuijk's profile →
Citations per field
00.5×6.5×
Kim van Kuijk · 1×
Citations per year

Countries citing papers authored by Yeda Chen

Since Specialization
Citations

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

Fields of papers citing papers by Yeda Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yeda Chen, 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 Yeda Chen Line = papers co-authored together Yeda Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2014106
2 201924
3 201821
4 201817
5 202015
6 202015
7 202113
8 202312
9 20238
10 20237
11 20167
12 20206
13
Mitochondrial phosphoenolpyruvate carboxykinase inhibits kidney renal clear cell carcinoma malignant progression, leading to cell energy metabolism imbalance.
20234
14 20233
15 20193
16 20162
17
Association of genetic polymorphisms in leptin and leptin receptor with coronary artery disease in southern Chinese Han population.
20161
18 20241
19 20241
20 20250

About Yeda Chen

Yeda Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Surgery, Oncology and Rheumatology, having authored 20 papers that have together received 266 indexed citations. Recurring topics across this work include Kidney Stones and Urolithiasis Treatments (3 papers), Folate and B Vitamins Research (1 paper), Urologic and reproductive health conditions (1 paper), Ferroptosis and cancer prognosis (1 paper), Animal Genetics and Reproduction (1 paper), Cutaneous Melanoma Detection and Management (1 paper), Congenital heart defects research (1 paper) and Urinary Bladder and Prostate Research (1 paper). The work is most often cited by research in Cancer Research (25 citations), Molecular Biology (119 citations), Pulmonary and Respiratory Medicine (44 citations), Biological Psychiatry (3 citations) and Genetics (30 citations). Yeda Chen has collaborated with scholars based in China, Germany and Japan. Frequent co-authors include Shaoqi Rao, Xiaolei Zhao, Manqiong Yuan, Xiaoyu Zuo, Guohua Zeng, Xiaolu Duan, Tuo Deng, Wenqi Wu, Zhijian Zhao and Qiong Deng. Their work appears in journals such as Frontiers in Genetics, Acta Pharmaceutica Sinica B, Frontiers in Oncology, PLoS ONE and Genomics Proteomics & Bioinformatics.

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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