Xiaoping Jing

1.3k total citations
59 papers, 789 citations indexed

About

Xiaoping Jing is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, Xiaoping Jing has authored 59 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Agronomy and Crop Science, 20 papers in Genetics and 12 papers in Animal Science and Zoology. Recurrent topics in Xiaoping Jing's work include Ruminant Nutrition and Digestive Physiology (26 papers), Reproductive Physiology in Livestock (20 papers) and Genetic and phenotypic traits in livestock (19 papers). Xiaoping Jing is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (26 papers), Reproductive Physiology in Livestock (20 papers) and Genetic and phenotypic traits in livestock (19 papers). Xiaoping Jing collaborates with scholars based in China, Israel and Belgium. Xiaoping Jing's co-authors include A. Allan Degen, Luming Ding, Ruijun Long, Jianwei Zhou, Weiwei Cheng, He Li, Zhanhuan Shang, Zou Ya, Xiaodan Huang and Shiying Wang and has published in prestigious journals such as Nature Communications, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Xiaoping Jing

55 papers receiving 777 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaoping Jing China 17 310 242 158 119 65 59 789
Ting Jiao China 16 170 0.5× 189 0.8× 143 0.9× 115 1.0× 90 1.4× 66 667
Qiongxian Yan China 16 144 0.5× 192 0.8× 65 0.4× 101 0.8× 24 0.4× 58 615
Angela Salzano Italy 21 346 1.1× 332 1.4× 374 2.4× 251 2.1× 113 1.7× 81 1.3k
Shatuo Chai China 12 391 1.3× 212 0.9× 88 0.6× 66 0.6× 7 0.1× 30 561
Lan Li China 24 78 0.3× 444 1.8× 65 0.4× 59 0.5× 117 1.8× 91 1.4k
Jakob Sehested Denmark 23 781 2.5× 189 0.8× 398 2.5× 316 2.7× 34 0.5× 89 1.5k
M. O. Oyeyemi Nigeria 14 61 0.2× 141 0.6× 99 0.6× 50 0.4× 36 0.6× 68 869
Chander Datt India 11 191 0.6× 111 0.5× 66 0.4× 65 0.5× 9 0.1× 66 493
B. Flynn Ireland 15 279 0.9× 85 0.4× 92 0.6× 93 0.8× 7 0.1× 24 543

Countries citing papers authored by Xiaoping Jing

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Jing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoping Jing

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoping Jing. A scholar is included among the top collaborators of Xiaoping Jing based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoping Jing. Xiaoping Jing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Ziwei, et al.. (2025). A boy and his mother with lipoprotein glomerulopathy: Two case reports and literature review. Medicine. 104(8). e41628–e41628. 1 indexed citations
2.
Ma, Zhiyuan, et al.. (2025). Feeding systems change yak meat quality and flavor in cold season. Food Research International. 203. 115846–115846. 1 indexed citations
3.
Jing, Xiaoping, Liping Zhao, A. Allan Degen, et al.. (2025). Effects of dietary energy levels on production and absorption of hindgut short-chain fatty acids in two sheep breeds. animal. 19(3). 101447–101447. 1 indexed citations
4.
5.
Mi, Jiandui, Xiaoping Jing, Chouxian Ma, et al.. (2024). Massive expansion of the pig gut virome based on global metagenomic mining. npj Biofilms and Microbiomes. 10(1). 76–76. 7 indexed citations
6.
Mi, Jiandui, Xiaoping Jing, Chouxian Ma, et al.. (2024). A metagenomic catalogue of the ruminant gut archaeome. Nature Communications. 15(1). 9609–9609. 7 indexed citations
7.
Li, Ziwei, et al.. (2023). Tumor necrosis factor receptor-associated cycle syndrome: a case report and literature review. Frontiers in Pediatrics. 11. 1296487–1296487.
8.
Shi, Fuyu, et al.. (2023). Research advances on enteric methane emission from ruminants in natural grazing system. Scientia Sinica Vitae. 53(7). 916–930. 1 indexed citations
9.
Jing, Xiaoping, et al.. (2023). Transition cow clusters with distinctive antioxidant ability and their relation to performance and metabolic status in early lactation. Journal of Dairy Science. 106(8). 5723–5739. 9 indexed citations
10.
Adriaens, Ines, Xiaoping Jing, Veerle Fievez, et al.. (2023). Milk yield residuals and their link with the metabolic status of dairy cows in the transition period. Journal of Dairy Science. 107(1). 317–330. 2 indexed citations
11.
Kakade, Apurva, et al.. (2023). Insights into the merits and market potential of yak meat. Animal Frontiers. 13(6). 24–31. 3 indexed citations
12.
Jing, Xiaoping, Barbara Stefańska, Ewa Pruszyńska‐Oszmałek, et al.. (2023). Combination of milk variables and on-farm data as an improved diagnostic tool for metabolic status evaluation in dairy cattle during the transition period. Journal of Dairy Science. 107(1). 489–507. 3 indexed citations
13.
Jing, Xiaoping, A. Allan Degen, Luming Ding, et al.. (2022). Small intestinal morphology and sugar transporters expression when consuming diets of different energy levels: comparison between Tibetan and small-tailed Han sheep. animal. 16(3). 100463–100463. 9 indexed citations
14.
Jensen, Dan Børge, et al.. (2022). Different reticuloruminal pH metrics of high-yielding dairy cattle during the transition period in relation to metabolic health, activity, and feed intake. Journal of Dairy Science. 105(8). 6880–6894. 10 indexed citations
15.
Yu, Linlin, Jing Wang, Zou Ya, et al.. (2021). Qingfei oral liquid inhibited autophagy to alleviate inflammation via mTOR signaling pathway in RSV-infected asthmatic mice. Biomedicine & Pharmacotherapy. 138. 111449–111449. 13 indexed citations
16.
Hu, Rui, Huawei Zou, Zhisheng Wang, et al.. (2019). Nutritional Interventions Improved Rumen Functions and Promoted Compensatory Growth of Growth-Retarded Yaks as Revealed by Integrated Transcripts and Microbiome Analyses. Frontiers in Microbiology. 10. 318–318. 51 indexed citations
17.
Wang, Wenji, et al.. (2018). Effects of dietary energy level on urinary purine derivatives excretion and ruminal microbial nitrogen production of Tibetan sheep under low nitrogen condition.. Dongwu yingyang xuebao. 30(12). 5002–5012. 1 indexed citations
18.
Jing, Xiaoping, et al.. (2017). Effects of moist-heat stress on growth performance, oxidation resistance and immunity of Tibetan sheep and goats.. Dongwu yingyang xuebao. 29(6). 2179–2187. 3 indexed citations
19.
Jing, Xiaoping, et al.. (2017). Effects of supplementation in cold season on morphological development of small intestine and the expression of nutrient transporter gene.. 48(2). 260–271. 1 indexed citations
20.
Liu, Peipei, et al.. (2016). Effect of early weaning of calves on the grazing behavior of female yaks in the Qinghai Lake Area.. Acta Pratacultural Science. 25(12). 84–93. 1 indexed citations

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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