Yuling Dong

18 papers receiving 359 citations

Peers

Yuling Dong
Comparison fields: 5 of 73
  • Pollution 71
  • Aging 9
  • Industrial and Manufacturing Engineering 26
  • Plant Science 110
  • Cancer Research 36
Replace Kai Künnis-Beres with:
Kai Künnis-Beres Estonia
Maja Šrut Croatia
Megha Kumar India
Qiuling Li China
Marilena Briglia Italy
Linlin Shi China
Hongchun Chen China
Anna Benedetti Italy
Qianjin Liang China
Yuling Dong relative to Kai Künnis-Beres Estonia Kai Künnis-Beres's profile →
Citations per field
00.5×4.5×
Kai Künnis-Beres · 1×
Citations per year

Countries citing papers authored by Yuling Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yuling Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202364
2 201740
3 201839
4 201538
5
REDD1 and p-AKT over-expression may predict poor prognosis in ovarian cancer.
201430
6 201628
7 202424
8 201518
9
Hypermethylation of TFPI2 correlates with cervical cancer incidence in the Uygur and Han populations of Xinjiang, China.
201517
10 201914
11 202212
12 202211
13 20247
14 20226
15 20246
16 20145
17 20203
18 20231
19 20250

About Yuling Dong

Yuling Dong is a scholar working on Molecular Biology, Aerospace Engineering, Reproductive Medicine, Electronic, Optical and Magnetic Materials and Biomedical Engineering, having authored 19 papers that have together received 363 indexed citations. Recurring topics across this work include Electromagnetic wave absorption materials (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Advanced Antenna and Metasurface Technologies (3 papers), Genomics and Phylogenetic Studies (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Microbial Community Ecology and Physiology (2 papers), Graphene and Nanomaterials Applications (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Pollution (71 citations), Aging (9 citations), Industrial and Manufacturing Engineering (26 citations), Plant Science (110 citations) and Cancer Research (36 citations). Yuling Dong has collaborated with scholars based in China, United Kingdom and Netherlands. Frequent co-authors include Zeng‐Fu Xu, Longjian Niu, Mao-Sheng Chen, Qiantang Fu, Yan-Bin Tao, Shujing Zhang, Changjian Xie, Qiuxiang Pang, Xiaowei Li and Iseult Lynch. Their work appears in journals such as Ecotoxicology and Environmental Safety, ACS Applied Nano Materials, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Frontiers in Microbiology and The Science of The Total Environment.

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