Chaodi Kang

726 total citations · 1 hit paper
8 papers, 565 citations indexed

About

Chaodi Kang is a scholar working on Animal Science and Zoology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Chaodi Kang has authored 8 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Animal Science and Zoology, 5 papers in Molecular Biology and 4 papers in Biomedical Engineering. Recurrent topics in Chaodi Kang's work include Meat and Animal Product Quality (6 papers), Identification and Quantification in Food (5 papers) and Advanced Chemical Sensor Technologies (4 papers). Chaodi Kang is often cited by papers focused on Meat and Animal Product Quality (6 papers), Identification and Quantification in Food (5 papers) and Advanced Chemical Sensor Technologies (4 papers). Chaodi Kang collaborates with scholars based in China. Chaodi Kang's co-authors include Dianbo Zhao, Yanhong Bai, Qisen Xiang, Liyuan Niu, Yingying Li, Yingying Zhang, Ke Li, Wentao Zhao, Wenping Guo and Jin Gu and has published in prestigious journals such as Food Chemistry, LWT and Food Control.

In The Last Decade

Chaodi Kang

7 papers receiving 555 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.

Screening of specific quantitative peptides of beef by LC–MS/MS coupled with OPLS-DA

2022 150 citations Chaodi Kang, Yingying Zhang et al. Food Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chaodi Kang China	7	222	180	138	136	131	8	565
Ki Ho Baek South Korea	14	135 0.6×	117 0.7×	239 1.7×	170 1.3×	87 0.7×	37	518
F.Y. Ekinci Türkiye	11	150 0.7×	206 1.1×	95 0.7×	299 2.2×	133 1.0×	28	596
Fábio O. Borges Brazil	7	247 1.1×	115 0.6×	116 0.8×	231 1.7×	191 1.5×	8	573
Barun Yadav Canada	9	296 1.3×	84 0.5×	59 0.4×	132 1.0×	195 1.5×	11	549
Tomislava Vukušić Croatia	14	194 0.9×	84 0.5×	62 0.4×	199 1.5×	263 2.0×	26	619
Annalisa Segat Italy	9	368 1.7×	252 1.4×	220 1.6×	377 2.8×	283 2.2×	11	930
Rosane Souza Cavalcante Brazil	8	183 0.8×	134 0.7×	40 0.3×	128 0.9×	188 1.4×	9	556
Anika Singh Canada	7	161 0.7×	82 0.5×	67 0.5×	162 1.2×	165 1.3×	10	499
Ximena Yépez United States	8	195 0.9×	64 0.4×	42 0.3×	101 0.7×	85 0.6×	8	381
Zifan Wan United States	13	546 2.5×	173 1.0×	124 0.9×	269 2.0×	310 2.4×	22	1.0k

Countries citing papers authored by Chaodi Kang

Since Specialization

Citations

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

Fields of papers citing papers by Chaodi Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaodi Kang

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

All Works

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8 of 8 papers shown

1.

Zhang, Yingying, Chaodi Kang, Mengyao Liu, et al.. (2025). Visualization-Based Rapid Screening and Quantitative Analysis of Target Peptides for Meat Authentication. Foods. 14(17). 3048–3048.

2.

Kang, Chaodi, Yingying Zhang, Wentao Zhao, et al.. (2022). Screening of specific quantitative peptides of beef by LC–MS/MS coupled with OPLS-DA. Food Chemistry. 387. 132932–132932. 150 indexed citations breakdown →

3.

Zhang, Yingying, Mengyao Liu, Shouwei Wang, et al.. (2021). Identification and quantification of fox meat in meat products by liquid chromatography–tandem mass spectrometry. Food Chemistry. 372. 131336–131336. 24 indexed citations

4.

Zhang, Mingyue, Yingying Li, Yingying Zhang, et al.. (2021). Rapid LC-MS/MS method for the detection of seven animal species in meat products. Food Chemistry. 371. 131075–131075. 46 indexed citations

5.

Li, Yingying, Yingying Zhang, Chaodi Kang, et al.. (2020). Assessment of carbonic anhydrase 3 as a marker for meat authenticity and performance of LC-MS/MS for pork content. Food Chemistry. 342. 128240–128240. 26 indexed citations

6.

Kang, Chaodi, Qisen Xiang, Dianbo Zhao, et al.. (2019). Inactivation of Pseudomonas deceptionensis CM2 on chicken breasts using plasma-activated water. Journal of Food Science and Technology. 56(11). 4938–4945. 62 indexed citations

7.

Xiang, Qisen, Chaodi Kang, Dianbo Zhao, et al.. (2018). Influence of organic matters on the inactivation efficacy of plasma-activated water against E. coli O157:H7 and S. aureus. Food Control. 99. 28–33. 78 indexed citations

8.

Xiang, Qisen, Chaodi Kang, Liyuan Niu, et al.. (2018). Antibacterial activity and a membrane damage mechanism of plasma-activated water against Pseudomonas deceptionensis CM2. LWT. 96. 395–401. 179 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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