Yuling Dong

25 papers receiving 588 citations

Peers

Yuling Dong
Comparison fields: 5 of 83
  • Pollution 82
  • Aging 10
  • Sensory Systems 30
  • Plant Science 110
  • Electronic, Optical and Magnetic Materials 36
Replace Federica Chiappori with:
Federica Chiappori Italy
Yin Jia China
Xiaohui Li China
Qing Cheng China
Haiping Jiang China
Sonya R Murray Australia
Jake Lin Finland
Xu Japan
Yuling Dong relative to Federica Chiappori Italy Federica Chiappori's profile →
Citations per field
00.5×2×4×6×7.2×
Federica Chiappori · 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

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202382
2 201468
3 202067
4 201849
5 201742
6 201538
7 202436
8
REDD1 and p-AKT over-expression may predict poor prognosis in ovarian cancer.
201431
9 201631
10 201518
11
Hypermethylation of TFPI2 correlates with cervical cancer incidence in the Uygur and Han populations of Xinjiang, China.
201518
12 201914
13 202214
14 202214
15 201013
16 202311
17 202411
18 202210
19 20248
20 20227

About Yuling Dong

Yuling Dong is a scholar working on Health, Toxicology and Mutagenesis, Reproductive Medicine, Molecular Biology, Insect Science and Soil Science, having authored 29 papers that have together received 596 indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Gut microbiota and health (3 papers), Microbial Community Ecology and Physiology (2 papers), Electromagnetic wave absorption materials (2 papers), Plant Molecular Biology Research (2 papers), Agricultural risk and resilience (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Pollution (82 citations), Aging (10 citations), Sensory Systems (30 citations), Plant Science (110 citations) and Electronic, Optical and Magnetic Materials (36 citations). Yuling Dong has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Qiuxiang Pang, Changjian Xie, Shujing Zhang, Mao-Sheng Chen, Longjian Niu, Qiantang Fu, Zeng‐Fu Xu, Yan-Bin Tao, Weichao Yang and Iseult Lynch. Their work appears in journals such as Frontiers in Microbiology, Ecotoxicology and Environmental Safety, Frontiers in Plant Science, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Frontiers in 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.

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