Kai Feng

4.7k total citations · 2 hit papers
80 papers, 3.5k citations indexed

About

Kai Feng is a scholar working on Ecology, Molecular Biology and Plant Science. According to data from OpenAlex, Kai Feng has authored 80 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Ecology, 45 papers in Molecular Biology and 15 papers in Plant Science. Recurrent topics in Kai Feng's work include Microbial Community Ecology and Physiology (44 papers), Gut microbiota and health (20 papers) and Genomics and Phylogenetic Studies (12 papers). Kai Feng is often cited by papers focused on Microbial Community Ecology and Physiology (44 papers), Gut microbiota and health (20 papers) and Genomics and Phylogenetic Studies (12 papers). Kai Feng collaborates with scholars based in China, United States and Germany. Kai Feng's co-authors include Ye Deng, Zhaojing Zhang, Huaqun Yin, Weiwei Cai, Shang Wang, Meiying Xu, Shuzhen Li, Songsong Gu, Zhili He and Qing He and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Kai Feng

78 papers receiving 3.5k citations

Hit Papers

Biodiversity and species ... 2017 2026 2020 2023 2017 2022 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kai Feng 1.6k 1.0k 958 765 720 80 3.5k
Yi‐Huei Jiang 1.8k 1.1× 1.2k 1.2× 749 0.8× 522 0.7× 630 0.9× 7 3.4k
Linwei Wu 2.4k 1.5× 1.4k 1.4× 855 0.9× 966 1.3× 796 1.1× 50 4.2k
Xue Guo 1.9k 1.2× 1.0k 1.0× 756 0.8× 733 1.0× 594 0.8× 96 4.2k
Xuesong Luo 1.1k 0.7× 1.1k 1.1× 581 0.6× 760 1.0× 554 0.8× 103 2.9k
Junpeng Rui 1.4k 0.9× 998 1.0× 686 0.7× 826 1.1× 503 0.7× 51 3.2k
Hyun S. Gweon 1.5k 0.9× 876 0.9× 1.0k 1.1× 1.1k 1.5× 460 0.6× 42 3.4k
Stephanie A. Eichorst 1.6k 1.0× 905 0.9× 833 0.9× 1.0k 1.3× 350 0.5× 33 3.0k
Jie Wang 1.4k 0.8× 820 0.8× 1.5k 1.5× 1.4k 1.8× 374 0.5× 192 4.0k
Flemming Ekelund 2.1k 1.3× 1.3k 1.3× 1.3k 1.3× 1.1k 1.4× 878 1.2× 101 4.3k
Zhou Jason Shi 2.6k 1.6× 2.4k 2.3× 1.1k 1.1× 976 1.3× 713 1.0× 35 5.4k

Countries citing papers authored by Kai Feng

Since Specialization
Citations

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

Fields of papers citing papers by Kai Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Feng. A scholar is included among the top collaborators of Kai Feng 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 Kai Feng. Kai Feng 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.
Gu, Songsong, Zhonghua Liu, Wenjun Xiao, et al.. (2025). Comparative Study on Soil Microbial Community Structure and Diversity in Five Tea (Camellia sinensis) Cultivars. International Journal of Agriculture and Biology. 22(6). 1553–1559.
2.
3.
Zhu, Xuefeng, Kai Feng, Hongtu Xie, et al.. (2024). Microbial necromass contribution to soil carbon storage via community assembly processes. The Science of The Total Environment. 951. 175749–175749. 9 indexed citations
4.
Wei, Ziyan, Cheng‐Ying Jiang, Ye Deng, et al.. (2024). Deep insights into the assembly mechanisms, co-occurrence patterns, and functional roles of microbial community in wastewater treatment plants. Environmental Research. 263(Pt 1). 120029–120029. 3 indexed citations
5.
Feng, Kai, Ashley J. Ansari, Na Zhang, Yongzhen Peng, & Xiaoye Song. (2024). Biochar addition to mitigate oil inhibition in anaerobic digestion of food wastewater: Microbial insights from biochemical methane potential tests. Environmental Technology & Innovation. 37. 104000–104000. 4 indexed citations
6.
Wang, Linlin, Xiongfeng Du, Kai Feng, et al.. (2023). Fungi and cercozoa regulate methane-associated prokaryotes in wetland methane emissions. Frontiers in Microbiology. 13. 1076610–1076610. 7 indexed citations
7.
Gu, Songsong, Xueli Zhou, Hao Yu, et al.. (2023). Microbial and chemical fertilizers for restoring degraded alpine grassland. Biology and Fertility of Soils. 59(8). 911–926. 11 indexed citations
8.
Shi, Ke, Bin Liang, Kai Feng, et al.. (2023). Electrostimulation triggers an increase in cross-niche microbial associations toward enhancing organic nitrogen wastewater treatment. Journal of Environmental Management. 331. 117301–117301. 9 indexed citations
9.
Feng, Kai, Yan Chen, Ruibo Sun, et al.. (2023). Responses of root architecture and the rhizosphere microbiome assembly of maize (Zea mays L.) to a soil texture gradient. Soil Biology and Biochemistry. 181. 109026–109026. 16 indexed citations
10.
Zhang, Zheng, Jiang Li, Hongjun Li, et al.. (2023). Environmental DNA metabarcoding reveals the influence of human activities on microeukaryotic plankton along the Chinese coastline. Water Research. 233. 119730–119730. 31 indexed citations
11.
Feng, Kai, Ziyan Wei, Yueni Wu, et al.. (2022). Evaluation and redesign of the primers for detecting nitrogen cycling genes in environments. Methods in Ecology and Evolution. 13(9). 1976–1989. 15 indexed citations
12.
Liu, Nana, Huifeng Hu, Wenhong Ma, et al.. (2022). Relationships Between Soil Microbial Diversities Across an Aridity Gradient in Temperate Grasslands. Microbial Ecology. 85(3). 1013–1027. 16 indexed citations
13.
Chen, Yongliang, Xue Yang, Wei Fu, et al.. (2022). Conversion of natural grassland to cropland alters microbial community assembly across northern China. Environmental Microbiology. 24(12). 5630–5642. 14 indexed citations
14.
Sun, Baoyu, Baohua Xie, Kai Feng, et al.. (2021). Warming reshaped the microbial hierarchical interactions. Global Change Biology. 27(24). 6331–6347. 149 indexed citations
15.
Feng, Kai, Anna Maria Fiore‐Donno, Kenneth Dumack, et al.. (2021). On the phenology of protists: recurrent patterns reveal seasonal variation of protistan (Rhizaria: Cercozoa and Endomyxa) communities in tree canopies. FEMS Microbiology Ecology. 97(7). 10 indexed citations
16.
Chen, Jie, Kai Feng, S. Emilia Hannula, et al.. (2021). Interkingdom plant-microbial ecological networks under selective and clear cutting of tropical rainforest. Forest Ecology and Management. 491. 119182–119182. 13 indexed citations
17.
Zhang, Zhaojing, Ye Deng, Kai Feng, et al.. (2019). Deterministic Assembly and Diversity Gradient Altered the Biofilm Community Performances of Bioreactors. Environmental Science & Technology. 53(3). 1315–1324. 154 indexed citations
18.
Feng, Kai, et al.. (2016). Mesozoic gold mineralization in the Jiaodong and Korean peninsulas. 32(10). 3238. 41 indexed citations
19.
Feng, Kai, Xin Song, Fei Tan, et al.. (2012). Topological anaylysis and prediction of aging genes in Mus musculus. 2268–2271. 2 indexed citations
20.
Feng, Kai & Zhisheng Xu. (2006). Visualization-Based Disaster Digital Simulation Reconstruction Theory and Case Study(III):-A Series of Models for Disaster Digital Simulation. 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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