Kai Kai

778 total citations · 1 hit paper
17 papers, 574 citations indexed

About

Kai Kai is a scholar working on Food Science, Plant Science and Nutrition and Dietetics. According to data from OpenAlex, Kai Kai has authored 17 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Food Science, 7 papers in Plant Science and 5 papers in Nutrition and Dietetics. Recurrent topics in Kai Kai's work include Food composition and properties (3 papers), Plant-Microbe Interactions and Immunity (3 papers) and Proteins in Food Systems (3 papers). Kai Kai is often cited by papers focused on Food composition and properties (3 papers), Plant-Microbe Interactions and Immunity (3 papers) and Proteins in Food Systems (3 papers). Kai Kai collaborates with scholars based in China, United States and Finland. Kai Kai's co-authors include Alissa A. Nolden, Amanda J. Kinchla, David Julian McClements, Jiakai Lu, Maija Greis, Danfeng Zhang, Wei Shi, Yongsheng Liu, Yingwang Ye and Lutz Großmann and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Applied Catalysis A General and Journal of Food Science.

In The Last Decade

Kai Kai

16 papers receiving 557 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Functional Performance of Plant Proteins

2022 240 citations Kai Kai, Maija Greis et al. Foods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kai Kai China	10	313	247	133	109	88	17	574
Serena Muccilli Italy	13	287 0.9×	291 1.2×	110 0.8×	171 1.6×	104 1.2×	18	595
Song Jiang China	15	272 0.9×	313 1.3×	282 2.1×	86 0.8×	134 1.5×	28	647
Flávio Fonseca Veras Brazil	14	229 0.7×	222 0.9×	40 0.3×	186 1.7×	44 0.5×	38	506
Mustafa Gürses Türkiye	13	282 0.9×	188 0.8×	140 1.1×	94 0.9×	44 0.5×	34	491
Jiahui Zhang China	10	307 1.0×	153 0.6×	111 0.8×	146 1.3×	23 0.3×	30	610
Pedro M. Oliveira Ireland	8	216 0.7×	225 0.9×	129 1.0×	65 0.6×	80 0.9×	10	451
Anastasia E. Kapetanakou Greece	14	361 1.2×	156 0.6×	79 0.6×	87 0.8×	50 0.6×	27	625
Clara Montesinos‐Herrero Spain	12	182 0.6×	390 1.6×	86 0.6×	61 0.6×	228 2.6×	31	631
Stephanie Bader‐Mittermaier Germany	14	379 1.2×	177 0.7×	232 1.7×	136 1.2×	17 0.2×	34	675
Saikun Pan China	17	201 0.6×	211 0.9×	71 0.5×	251 2.3×	22 0.3×	37	678

Countries citing papers authored by Kai Kai

Since Specialization

Citations

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

Fields of papers citing papers by Kai Kai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Kai

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Kai. A scholar is included among the top collaborators of Kai Kai 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 Kai. Kai Kai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Jiang, Chunlei, et al.. (2026). Flame Retardancy and Hydrophobicity of Cotton Fibers via the Treatment of the Phosphorus‐Silicon Modified Cottonseed Meal. Journal of Applied Polymer Science. 143(14).

Kai, Kai, Gregory R. Ziegler, Helene Hopfer, & John E. Hayes. (2024). What Is Chalky? Investigating Consumer Language and Perception of Fine Particles in Beverages Containing Pea and Potato Starch. Foods. 13(12). 1852–1852. 3 indexed citations

Kai, Kai, Gregory R. Ziegler, & John E. Hayes. (2024). Sugar reduction in chocolate compound by replacement with flours containing small insoluble starch granules. Journal of Food Science. 89(3). 1701–1710. 1 indexed citations

Kai, Kai, Aarthi Madhavan, Nicole M. Etter, Helene Hopfer, & John E. Hayes. (2023). Texture term usage and hedonic ratings in two age‐diverse cohorts of Americans. Journal of Texture Studies. 54(6). 860–871. 2 indexed citations

Kai, Kai, Maija Greis, Jiakai Lu, et al.. (2022). Functional Performance of Plant Proteins. Foods. 11(4). 594–594. 240 indexed citations breakdown →

Kai, Kai, Lutz Großmann, Alissa A. Nolden, David Julian McClements, & Amanda J. Kinchla. (2022). Functional and physical properties of commercial pulse proteins compared to soy derived protein. Future Foods. 6. 100155–100155. 66 indexed citations

Kai, Kai, Rui Wang, Zhitao Ma, et al.. (2021). Chlorogenic acid induces ROS-dependent apoptosis in Fusarium fujikuroi and decreases the postharvest rot of cherry tomato. World Journal of Microbiology and Biotechnology. 37(6). 93–93. 32 indexed citations

Kai, Kai. (2021). The Comparison of Functional and Physical Properties of Commercial Pulse Proteins to Soy Protein. Scholarworks (University of Massachusetts Amherst). 2 indexed citations

Panchal, Balaji, Qiaojing Zhao, Zheng Zhu, et al.. (2021). Novel synthesized microporous ionic polymer applications in transesterification of Jatropha curcas seed oil with short Chain alcohol. Applied Catalysis A General. 625. 118335–118335. 9 indexed citations

10.

Kai, Kai, et al.. (2020). Curcumin triggers the immunity response in kiwifruit against Botrytis cinerea. Scientia Horticulturae. 274. 109685–109685. 12 indexed citations

11.

Zhang, Danfeng, et al.. (2020). Effect of chlorogenic acid on controlling kiwifruit postharvest decay caused by Diaporthe sp.. LWT. 132. 109805–109805. 43 indexed citations

12.

Kai, Kai, et al.. (2019). Curcumin Induces Oxidative Stress in Botrytis cinerea, Resulting in a Reduction in Gray Mold Decay in Kiwifruit. Journal of Agricultural and Food Chemistry. 67(28). 7968–7976. 56 indexed citations

13.

Kai, Kai, et al.. (2019). Curcumin inhibits gray mold development in kiwifruit by targeting mitogen-activated protein kinase (MAPK) cascades in Botrytis cinerea. Postharvest Biology and Technology. 151. 152–159. 31 indexed citations

14.

Kai, Kai, et al.. (2019). Extraction and Purification of Anthocyanins from Sorbus Pohuashanensis Fruits. Current Topics in Nutraceutical Research. 18(4). 319–324. 2 indexed citations

15.

Kai, Kai, et al.. (2019). Curcumin inhibits Diaporthe phaseolorum and reduces postharvest decay in kiwifruit. Scientia Horticulturae. 259. 108860–108860. 31 indexed citations

16.

Li, Yulin, Xiaofu Wang, Kai Kai, et al.. (2018). The effect of low and high molecular weight chitosan on the control of gray mold (Botrytis cinerea) on kiwifruit and host response. Scientia Horticulturae. 246. 700–709. 41 indexed citations

17.

Kai, Kai, et al.. (2017). Water Inrush Mechanism Caused by Fault Activation Based on Stress Evolution of Surrounding Rock of Key Aquifer. Journal of Engineering Science and Technology Review. 10(6). 179–185. 3 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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