Benhai Xiong

2.3k total citations
66 papers, 1.5k citations indexed

About

Benhai Xiong is a scholar working on Agronomy and Crop Science, Molecular Biology and Food Science. According to data from OpenAlex, Benhai Xiong has authored 66 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Agronomy and Crop Science, 25 papers in Molecular Biology and 13 papers in Food Science. Recurrent topics in Benhai Xiong's work include Ruminant Nutrition and Digestive Physiology (37 papers), Gut microbiota and health (13 papers) and Milk Quality and Mastitis in Dairy Cows (12 papers). Benhai Xiong is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (37 papers), Gut microbiota and health (13 papers) and Milk Quality and Mastitis in Dairy Cows (12 papers). Benhai Xiong collaborates with scholars based in China, Belgium and Netherlands. Benhai Xiong's co-authors include Linshu Jiang, Xuemei Nan, Kun Wang, Yiguang Zhao, Jinjin Tong, Fuguang Xue, Fan Zhang, Hui Wang, Liang Yang and Dengke Hua and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Benhai Xiong

64 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benhai Xiong China 24 882 564 289 255 198 66 1.5k
Xuemei Nan China 22 709 0.8× 618 1.1× 352 1.2× 207 0.8× 184 0.9× 67 1.6k
Junhu Yao China 22 637 0.7× 516 0.9× 258 0.9× 256 1.0× 211 1.1× 61 1.3k
Muhammad Zahoor Khan China 24 563 0.6× 386 0.7× 286 1.0× 307 1.2× 337 1.7× 145 1.7k
Jianxin Xiao China 21 566 0.6× 338 0.6× 308 1.1× 232 0.9× 212 1.1× 72 1.4k
Junhu Yao China 28 813 0.9× 654 1.2× 587 2.0× 171 0.7× 314 1.6× 121 2.2k
Wenjie Huo China 23 1.1k 1.3× 367 0.7× 270 0.9× 164 0.6× 282 1.4× 82 1.5k
Naifeng Zhang China 25 953 1.1× 540 1.0× 463 1.6× 226 0.9× 342 1.7× 100 1.8k
Quanhui Peng China 25 848 1.0× 404 0.7× 490 1.7× 152 0.6× 274 1.4× 103 1.6k
Yiguang Zhao China 19 481 0.5× 381 0.7× 128 0.4× 135 0.5× 156 0.8× 48 932
Ahmed A. Elolimy Egypt 22 430 0.5× 398 0.7× 266 0.9× 114 0.4× 230 1.2× 82 1.3k

Countries citing papers authored by Benhai Xiong

Since Specialization
Citations

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

Fields of papers citing papers by Benhai Xiong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Benhai Xiong

This figure shows the co-authorship network connecting the top 25 collaborators of Benhai Xiong. A scholar is included among the top collaborators of Benhai Xiong 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 Benhai Xiong. Benhai Xiong 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.
Zhang, Fan, Xiangfang Tang, & Benhai Xiong. (2025). Optimal Calcium Propionate Supplementation in Early-Lactation Dairy Cows Improves Milk Yield and Alters Milk Composition. Animals. 15(20). 2995–2995.
2.
Dai, Baisheng, et al.. (2023). Vision-based measuring method for individual cow feed intake using depth images and a Siamese network. International journal of agricultural and biological engineering. 16(3). 233–239. 7 indexed citations
3.
Wang, Kun, Yiguang Zhao, Xuemei Nan, et al.. (2023). Combined effects of vitamin B12 and fumarate on rumen propionate production and methanogenesis in dairy cow in vitro. SHILAP Revista de lepidopterología. 1(2). 204–218. 6 indexed citations
4.
Zhao, Yiguang, Yue Wang, Xuemei Nan, et al.. (2022). Responses of Lactation, Rumen Fermentation and Blood Biochemical Parameters with Increasing Dietary Inulin Supplementation in Mid-Lactation Dairy Cows. Agriculture. 12(4). 521–521. 6 indexed citations
5.
Wang, Kun, Xuemei Nan, Liang Yang, et al.. (2022). Effects of combined addition of 3-nitrooxypropanol and vitamin B12 on methane and propionate production in dairy cows by in vitro-simulated fermentation. Journal of Dairy Science. 106(1). 219–232. 10 indexed citations
6.
Wang, Kun, Benhai Xiong, & Xin Zhao. (2022). Could propionate formation be used to reduce enteric methane emission in ruminants?. The Science of The Total Environment. 855. 158867–158867. 78 indexed citations
7.
Hua, Dengke, W.H. Hendriks, Yiguang Zhao, et al.. (2022). Glucogenic and lipogenic diets affect in vitro ruminal microbiota and metabolites differently. Frontiers in Microbiology. 13. 1039217–1039217. 3 indexed citations
8.
9.
Tong, Jinjin, et al.. (2021). A berberine hydrochloride-carboxymethyl chitosan hydrogel protects against Staphylococcus aureus infection in a rat mastitis model. Carbohydrate Polymers. 278. 118910–118910. 49 indexed citations
10.
Wang, Kun, et al.. (2021). Effects of propylene glycol on in vitro ruminal fermentation, methanogenesis, and microbial community structure. Journal of Dairy Science. 104(3). 2924–2934. 13 indexed citations
11.
Hua, Dengke, Yiguang Zhao, Xuemei Nan, et al.. (2020). Effect of different glucogenic to lipogenic nutrient ratios on rumen fermentation and bacterial community in vitro. Journal of Applied Microbiology. 130(6). 1868–1882. 8 indexed citations
12.
Nan, Xuemei, et al.. (2020). A Review of Enteric Methane Emission Measurement Techniques in Ruminants. Animals. 10(6). 1004–1004. 33 indexed citations
13.
Tong, Jinjin, et al.. (2020). Microbiome and metabolic changes in milk in response to artemisinin supplementation in dairy cows. AMB Express. 10(1). 154–154. 19 indexed citations
14.
Zhang, Fan, Xuemei Nan, Hui Wang, et al.. (2020). Effects of Propylene Glycol on Negative Energy Balance of Postpartum Dairy Cows. Animals. 10(9). 1526–1526. 40 indexed citations
15.
Tong, Jinjin, et al.. (2019). Illumina MiSeq sequencing reveals the effects of grape seed procyanidin on rumen archaeal communities in vitro. Asian-Australasian Journal of Animal Sciences. 33(1). 61–68. 7 indexed citations
16.
Xue, Fuguang, Xuemei Nan, Xiaohua Pan, et al.. (2018). Metagenome sequencing to analyze the impacts of thiamine supplementation on ruminal fungi in dairy cows fed high-concentrate diets. AMB Express. 8(1). 159–159. 17 indexed citations
17.
Wang, Kun, Xuemei Nan, Liang Yang, et al.. (2018). Shifts of Hydrogen Metabolism From Methanogenesis to Propionate Production in Response to Replacement of Forage Fiber With Non-forage Fiber Sources in Diets in vitro. Frontiers in Microbiology. 9. 2764–2764. 55 indexed citations
18.
Tu, Yan, et al.. (2017). Effect of tea saponins on milk performance, milk fatty acids, and immune function in dairy cow. Journal of Dairy Science. 100(10). 8043–8052. 36 indexed citations
19.
20.
Pan, Xiaohua, Liang Yang, Fuguang Xue, et al.. (2016). Relationship between thiamine and subacute ruminal acidosis induced by a high-grain diet in dairy cows. Journal of Dairy Science. 99(11). 8790–8801. 50 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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