Cong Yu

1.4k citations
21 papers · 1.1k · h-index 8

Impact in

  • Physiology top 5%
    • Telomeres, Telomerase, and Senescence
    • Plant Molecular Biology Research
    • Plant Stress Responses and Tolerance
    • Plant nutrient uptake and metabolism
    • Polysaccharides and Plant Cell Walls

Papers in

Cong Yu

17 papers receiving 1.1k citations

Peers

Cong Yu
Comparison fields: 5 of 78
  • Physiology 323
  • Plant Science 476
  • Aging 19
  • Molecular Biology 649
  • Biotechnology 63
Replace Jay E. Johnson with:
Jay E. Johnson United States
Natalie Weber Germany
Nele Hug United Kingdom
Hatoon Baazim Austria
Hidetoshi Inagaki Japan
Floyd Wittink Netherlands
Mayumi Nakayama Japan
Xiao‐Qiong Chen China
Maria Vogelauer United States
Anna Cedzich Germany
Cong Yu relative to Jay E. Johnson United States Jay E. Johnson's profile →
Citations per field
00.5×1.5×2.3×
Jay E. Johnson · 1×
Citations per year

Countries citing papers authored by Cong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Cong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004473
2 1999421
3 201586
4 202034
5 201425
6 201918
7 201412
8 20149
9 20207
10 20246
11 20225
12 20245
13 20244
14 20232
15 20222
16
[Expression of human IL-12 in mammalian cell and study on its biological activities].
20072
17
Evaluation on Accuracy of Pancreatic Volume Using Multislice Spiral CT
20121
18 20050
19 20250
20 20240

About Cong Yu

Cong Yu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Neurology, Pollution and Pediatrics, Perinatology and Child Health, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (3 papers), MRI in cancer diagnosis (2 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (2 papers), Folate and B Vitamins Research (1 paper), Ferroptosis and cancer prognosis (1 paper), Ubiquitin and proteasome pathways (1 paper) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Physiology (323 citations), Plant Science (476 citations), Aging (19 citations), Molecular Biology (649 citations) and Biotechnology (63 citations). Cong Yu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Jianming Li, Ana I. Caño‐Delgado, Joanne Chory, Dionne Vafeados, Jin-Chen Cheng, Kyoung Hee Nam, Santiago Mora‐García, Yanhai Yin, Wei Wang and Fang Chen. Their work appears in journals such as Archives of Medical Science, PLoS ONE, Frontiers in Genetics, Human Molecular Genetics and BMC Neuroscience.

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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