Ying Ding

2.7k citations
104 papers · 2.0k · h-index 28

Impact in

Papers in

    • Ovarian function and disorders 6
    • CRISPR and Genetic Engineering 6
    • Microbial Metabolic Engineering and Bioproduction 6
    • Mitochondrial Function and Pathology 4

Ying Ding

97 papers receiving 2.0k citations

Peers

Ying Ding
Comparison fields: 5 of 133
  • Reproductive Medicine 181
  • Cancer Research 220
  • Environmental Chemistry 144
  • Molecular Biology 670
  • Developmental Neuroscience 34
Replace Wei Xia with:
Wei Xia China
Meng Wu China
Eric R. Hugo United States
Elisabetta Aldieri Italy
Tieliang Ma China
Ben Li China
Chengyong He China
Jie Xie China
Yoshifumi Takahashi Japan
Ying Ding relative to Wei Xia China Wei Xia's profile →
Citations per field
00.5×1.5×2×2.4×
Wei Xia · 1×
Citations per year

Countries citing papers authored by Ying Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ying Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021140
2 2019103
3 2019100
4 201776
5 202261
6 201760
7 202059
8 202150
9 201950
10 201848
11 202147
12 201446
13 201845
14 201843
15 202443
16 202141
17 201940
18 201939
19 201838
20 202038

About Ying Ding

Ying Ding is a scholar working on Reproductive Medicine, Molecular Biology, Cancer Research, Immunology and Cellular and Molecular Neuroscience, having authored 104 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ovarian function and disorders (6 papers), CRISPR and Genetic Engineering (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Cancer-related molecular mechanisms research (5 papers), Advancements in Battery Materials (5 papers), Neonatal Respiratory Health Research (4 papers), Mitochondrial Function and Pathology (4 papers) and Biofuel production and bioconversion (4 papers). The work is most often cited by research in Reproductive Medicine (181 citations), Cancer Research (220 citations), Environmental Chemistry (144 citations), Molecular Biology (670 citations) and Developmental Neuroscience (34 citations). Ying Ding has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yun Wei Sun, Qinling Zhu, Jia Qi, He Huang, Tian‐Qiong Shi, Yaqiong He, Yao Lu, Xiao‐Jun Ji, Kun Rui and Huijuan Lin. Their work appears in journals such as The Science of The Total Environment, The FASEB Journal, BioMed Research International, Environmental Science and Pollution Research and Environmental Pollution.

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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