Xiaoling Ding

482 citations
26 papers · 377 · h-index 8

Impact in

Papers in

Xiaoling Ding

23 papers receiving 369 citations

Peers

Xiaoling Ding
Comparison fields: 5 of 48
  • Microbiology 49
  • Animal Science and Zoology 56
  • Reproductive Medicine 31
  • Molecular Biology 179
  • Genetics 33
Replace Qingyuan Ouyang with:
Qingyuan Ouyang China
Jacinthe Frangieh France
Senlin Zhu China
Nahid Babaei Iran
Xuelei Han China
Zi Xie China
Sixiu Huang China
Yuanhang Wei China
Dibyendu Kumar United States
Piotr Kaczyński Poland
Xiaoling Ding relative to Qingyuan Ouyang China Qingyuan Ouyang's profile →
Citations per field
00.5×5×10×15×20×24.5×
Qingyuan Ouyang · 1×
Citations per year

Countries citing papers authored by Xiaoling Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoling Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001158
2 202054
3 201730
4 201128
5 201523
6 202220
7 201414
8 20249
9 20116
10 20186
11 20215
12 20245
13 20153
14 20223
15 20223
16 20242
17
Research Advances on T-2 Toxin
20111
18 20241
19 20241
20 20251

About Xiaoling Ding

Xiaoling Ding is a scholar working on Animal Science and Zoology, Microbiology, Reproductive Medicine, Agronomy and Crop Science and Health, Toxicology and Mutagenesis, having authored 26 papers that have together received 377 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (8 papers), Reproductive tract infections research (6 papers), Genetic and phenotypic traits in livestock (3 papers), Heavy Metal Exposure and Toxicity (2 papers), Reproductive Physiology in Livestock (1 paper), Coagulation and Flocculation Studies (1 paper), Cancer Immunotherapy and Biomarkers (1 paper) and Meat and Animal Product Quality (1 paper). The work is most often cited by research in Microbiology (49 citations), Animal Science and Zoology (56 citations), Reproductive Medicine (31 citations), Molecular Biology (179 citations) and Genetics (33 citations). Xiaoling Ding has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Eckart Apfelstedt-Sylla, Andreas Gal, Debra A. Thompson, Christina L. McHenry, Paul A. Sieving, Yun Li, Xiang Hong, Bei Wang, Xiaoying Wang and Xiaoyue Zhu. Their work appears in journals such as Italian Journal of Animal Science, Asian-Australasian Journal of Animal Sciences, BMC Microbiology, Animals and Environmental Research.

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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