Ying Ding

2.4k citations
101 papers · 1.8k · h-index 27

Impact in

Papers in

    • CRISPR and Genetic Engineering 6
    • Microbial Metabolic Engineering and Bioproduction 6
    • Ovarian function and disorders 7
    • Endometriosis Research and Treatment 5

Ying Ding

94 papers receiving 1.8k citations

Peers

Ying Ding
Comparison fields: 5 of 136
  • Reproductive Medicine 192
  • Cancer Research 255
  • Environmental Chemistry 135
  • Molecular Biology 690
  • Obstetrics and Gynecology 76
Replace Ke Huang with:
Ke Huang China
Pengfei Xu China
Elisabetta Aldieri Italy
Wenxiang Wang China
Jing Tong China
Huifeng Pi China
Eric R. Hugo United States
Yufeng Qin China
John A. Thomas United States
Fujun Liu China
Ying Ding relative to Ke Huang China Ke Huang's profile →
Citations per field
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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 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021129
2 201992
3 201987
4 201773
5 201756
6 202049
7 202249
8 201846
9 201946
10 202145
11 202144
12 201843
13 201442
14 201841
15 201938
16 201937
17 202136
18 202036
19 201834
20 201032

About Ying Ding

Ying Ding is a scholar working on Molecular Biology, Reproductive Medicine, Immunology, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 101 papers that have together received 1.8k indexed citations. Recurring topics across this work include Ovarian function and disorders (7 papers), CRISPR and Genetic Engineering (6 papers), Microbial Metabolic Engineering and Bioproduction (6 papers), Reproductive Biology and Fertility (6 papers), Cancer-related molecular mechanisms research (6 papers), Endometriosis Research and Treatment (5 papers), Advancements in Battery Materials (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Reproductive Medicine (192 citations), Cancer Research (255 citations), Environmental Chemistry (135 citations), Molecular Biology (690 citations) and Obstetrics and Gynecology (76 citations). Ying Ding has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiao‐Jun Ji, Yun Sun, Jia Qi, Qinling Zhu, Tian‐Qiong Shi, Yaqiong He, He Huang, Yao Lu, Jixin Zhu and Kun Rui. Their work appears in journals such as The Science of The Total Environment, Environmental Pollution, Journal of Hazardous Materials, Environmental Science and Pollution Research and BioMed Research International.

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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