Yeda Chen

422 citations
18 papers · 244 indexed · h-index 8

Impact in

    • Bioinformatics and Genomic Networks
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • Gene expression and cancer classification

Papers in

Yeda Chen

18 papers receiving 241 citations

Peers

Yeda Chen
Comparison fields: 5 of 68
  • Cancer Research 32
  • Molecular Biology 135
  • Pulmonary and Respiratory Medicine 51
  • Genetics 32
  • Oncology 27
Replace Tarryn Willmer with:
Tarryn Willmer South Africa
Nanna Sarvilinna Finland
Veronica Moreno United States
Pramila Krishnamurthy United Kingdom
Nadiya Sosonkina United States
Gema Gordo Spain
Liguo Geng China
Szymon Zmorzyński Poland
Nathalie Timmerman Netherlands
Yeda Chen relative to Tarryn Willmer South Africa Tarryn Willmer's profile →
Citations per field
00.5×1.6×
Tarryn Willmer · 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

18 of 18 papers shown
#Work
1 201499
2 201924
3 201819
4 201816
5 202113
6 202013
7 202013
8 202311
9 20237
10 20167
11 20237
12
Mitochondrial phosphoenolpyruvate carboxykinase inhibits kidney renal clear cell carcinoma malignant progression, leading to cell energy metabolism imbalance.
20234
13 20233
14 20193
15 20162
16 20241
17
Association of genetic polymorphisms in leptin and leptin receptor with coronary artery disease in southern Chinese Han population.
20161
18 20241

About Yeda Chen

Yeda Chen is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Genetics and Pediatrics, Perinatology and Child Health, having authored 18 papers that have together received 244 indexed citations. Recurring topics across this work include Renal and related cancers (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Ferroptosis and cancer prognosis (2 papers), Kidney Stones and Urolithiasis Treatments (2 papers), Renal cell carcinoma treatment (2 papers), Urinary Tract Infections Management (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Cancer Research (32 citations), Molecular Biology (135 citations), Pulmonary and Respiratory Medicine (51 citations), Genetics (32 citations) and Oncology (27 citations). Yeda Chen has collaborated with scholars based in China and Germany. Frequent co-authors include Shaoqi Rao, Xiaolei Zhao, Manqiong Yuan, Xiaoyu Zuo, Xiaolu Duan, Guohua Zeng, Tuo Deng, Wenqi Wu, Qiong Deng and Hui Liang. Their work appears in journals such as Acta Pharmaceutica Sinica B, Food and Chemical Toxicology, Domestic Animal Endocrinology, Clinical and Experimental Medicine and World Journal of Urology.

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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