Feng Ji

2.2k total citations
49 papers, 1.7k citations indexed

About

Feng Ji is a scholar working on Animal Science and Zoology, Molecular Biology and Small Animals. According to data from OpenAlex, Feng Ji has authored 49 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Animal Science and Zoology, 9 papers in Molecular Biology and 8 papers in Small Animals. Recurrent topics in Feng Ji's work include Animal Nutrition and Physiology (24 papers), Meat and Animal Product Quality (9 papers) and Animal Behavior and Welfare Studies (8 papers). Feng Ji is often cited by papers focused on Animal Nutrition and Physiology (24 papers), Meat and Animal Product Quality (9 papers) and Animal Behavior and Welfare Studies (8 papers). Feng Ji collaborates with scholars based in China, United States and Canada. Feng Ji's co-authors include Sung Woo Kim, Zhenhu Hu, Shoujun Yuan, Hui Chen, W.L. Hurley, Shugeng Wu, Guoyao Wu, Guanghai Qi, Xugang Luo and Shuxun Yu and has published in prestigious journals such as Nature Communications, Journal of Hazardous Materials and Journal of Agricultural and Food Chemistry.

In The Last Decade

Feng Ji

47 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Ji China 23 746 332 239 229 217 49 1.7k
Shengguo Zhao China 34 437 0.6× 77 0.2× 453 1.9× 111 0.5× 1.3k 6.0× 123 3.3k
Klaus Fischer Germany 20 468 0.6× 58 0.2× 147 0.6× 81 0.4× 142 0.7× 56 1.5k
Muhammad Mohsin Pakistan 23 107 0.1× 156 0.5× 31 0.1× 51 0.2× 152 0.7× 75 1.5k
Xindi Liao China 28 176 0.2× 116 0.3× 51 0.2× 46 0.2× 485 2.2× 94 2.1k
Mariusz Korczyński Poland 20 356 0.5× 123 0.4× 89 0.4× 21 0.1× 104 0.5× 77 1.0k
Zhengshun Wen China 22 150 0.2× 62 0.2× 159 0.7× 40 0.2× 480 2.2× 51 1.4k
Yinbao Wu China 25 206 0.3× 104 0.3× 35 0.1× 25 0.1× 387 1.8× 82 1.7k
Soliman M. Soliman Egypt 19 297 0.4× 46 0.1× 41 0.2× 28 0.1× 185 0.9× 70 1.5k
Oluwadara Alegbeleye Brazil 13 180 0.2× 114 0.3× 66 0.3× 14 0.1× 320 1.5× 30 1.8k
Alain Doyen Canada 33 406 0.5× 439 1.3× 415 1.7× 11 0.0× 1.2k 5.5× 128 3.2k

Countries citing papers authored by Feng Ji

Since Specialization
Citations

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

Fields of papers citing papers by Feng Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Ji. A scholar is included among the top collaborators of Feng Ji 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 Feng Ji. Feng Ji 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.
Ji, Feng, et al.. (2025). The effects of sputtering powers on the structural, optical and electrical properties of β-Ga2O3 thin films prepared by magnetron sputtering. Physica B Condensed Matter. 713. 417322–417322. 1 indexed citations
2.
Yang, Shuzhen, Shanshan Ma, Feng Ji, et al.. (2025). A basal body microtubule singlet-to-doublet transition in Plasmodium male gametogenesis. Nature Communications. 16(1). 9150–9150.
3.
Zhang, Hanbing, Zheng Huang, Feng Ji, et al.. (2025). Effect of the new fixed-time artificial insemination technology based on novel hormone preparations in gilts. Animal Reproduction Science. 280. 107971–107971.
4.
Liao, Shengfa F., et al.. (2024). Swine Gastrointestinal Microbiota and the Effects of Dietary Amino Acids on Its Composition and Metabolism. International Journal of Molecular Sciences. 25(2). 1237–1237. 16 indexed citations
6.
Ji, Feng, et al.. (2022). Influence of dietary phosphorus concentrations on the performance of rearing pigeons (Columba livia), and bone properties of squabs. Poultry Science. 101(4). 101744–101744. 17 indexed citations
7.
Hao, Xuefang, Weiwei Gai, Feng Ji, et al.. (2022). Bovine serum albumin-based biomimetic gene complexes with specificity facilitate rapid re-endothelialization for anti-restenosis. Acta Biomaterialia. 142. 221–241. 11 indexed citations
8.
Ji, Feng, Dongyan Zhang, Yuxin Shao, et al.. (2020). Changes in the diversity and composition of gut microbiota in pigeon squabs infected with Trichomonas gallinae. Scientific Reports. 10(1). 19978–19978. 36 indexed citations
9.
Ji, Feng, Chenyu Zhao, Bin Wang, et al.. (2018). The role of 5‐hydroxymethylcytosine in mitochondria after ischemic stroke. Journal of Neuroscience Research. 96(10). 1717–1726. 31 indexed citations
10.
Ji, Feng, et al.. (2016). The piglets as an experimental model for elucidating effects of Availa-Zn-170 on growth performance, blood profile and nutrient digestibility.. Biomedical Research-tokyo. 27(2). 0. 1 indexed citations
11.
Ji, Feng, et al.. (2016). Chlorination of parabens: reaction kinetics and transformation product identification. Environmental Science and Pollution Research. 23(22). 23081–23091. 22 indexed citations
12.
Wang, Jing, Hui Yue, Zhenkun Xia, et al.. (2012). Effect of dietary choline supplementation under different flavin-containing monooxygenase 3 genotypes on trimethylamine metabolism in laying hens. Poultry Science. 91(9). 2221–2228. 9 indexed citations
13.
Xu, Ling, Feng Ji, Hui Yue, et al.. (2011). Plasma variables, meat quality, and glycolytic potential in broilers stunned with different carbon dioxide concentrations. Poultry Science. 90(8). 1831–1836. 13 indexed citations
14.
Qi, Xiaolong, et al.. (2011). Effects of dietary conjugated linoleic acids on lipid metabolism and antioxidant capacity in laying hens. Archives of Animal Nutrition. 65(5). 354–365. 33 indexed citations
15.
Xu, Ling, L. Zhang, Hui Yue, et al.. (2011). Effect of electrical stunning current and frequency on meat quality, plasma parameters, and glycolytic potential in broilers. Poultry Science. 90(8). 1823–1830. 35 indexed citations
16.
Kil, Dong Yong, Feng Ji, R. B. Hinson, et al.. (2010). Net energy of soybean oil and choice white grease in diets fed to growing and finishing pigs1. Journal of Animal Science. 89(2). 448–459. 49 indexed citations
17.
Kim, Sung Woo, E. van Heugten, Feng Ji, Chien‐Hung Lee, & R. D. Mateo. (2009). Fermented soybean meal as a vegetable protein source for nursery pigs: I. Effects on growth performance of nursery pigs. Journal of Animal Science. 88(1). 214–224. 102 indexed citations
18.
Hu, Zhenhu, Hui Chen, Feng Ji, & Shoujun Yuan. (2009). Removal of Congo Red from aqueous solution by cattail root. Journal of Hazardous Materials. 173(1-3). 292–297. 236 indexed citations
19.
Ji, Feng, John J. McGlone, & Sung Woo Kim. (2006). Effects of dietary humic substances on pig growth performance, carcass characteristics, and ammonia emission1. Journal of Animal Science. 84(9). 2482–2490. 77 indexed citations
20.
Ji, Feng, Xugang Luo, Lin Lü, B. Liu, & Shuxun Yu. (2006). Effects of manganese source and calcium on manganese uptake by in vitro everted gut sacs of broilers' intestinal segments. Poultry Science. 85(7). 1217–1225. 44 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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