Kang Ning

12.8k total citations · 1 hit paper
376 papers, 7.9k citations indexed

About

Kang Ning is a scholar working on Molecular Biology, Ecology and Plant Science. According to data from OpenAlex, Kang Ning has authored 376 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 205 papers in Molecular Biology, 43 papers in Ecology and 36 papers in Plant Science. Recurrent topics in Kang Ning's work include Genomics and Phylogenetic Studies (54 papers), Gut microbiota and health (52 papers) and Microbial Community Ecology and Physiology (35 papers). Kang Ning is often cited by papers focused on Genomics and Phylogenetic Studies (54 papers), Gut microbiota and health (52 papers) and Microbial Community Ecology and Physiology (35 papers). Kang Ning collaborates with scholars based in China, United States and Singapore. Kang Ning's co-authors include Hong Bai, Runzhi Zhang, Xue Zhu, Jian Xu, Xiaoquan Su, Alexey I. Nesvizhskii, Maozhen Han, Wai Yie Leong, Mingyue Cheng and Pengshuo Yang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kang Ning

358 papers receiving 7.7k citations

Hit Papers

Network Pharmacology Data... 2019 2026 2021 2023 2019 250 500 750
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.

  1. Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment
    2019 882 citations Kang Ning et al. profile →

Author Peers

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

Author Last Decade Papers Cites
Kang Ning 4.2k 845 745 462 438 376 7.9k
Bin Wang 8.1k 1.9× 1.1k 1.3× 300 0.4× 384 0.8× 390 0.9× 583 13.8k
Masanori Arita 6.7k 1.6× 1.5k 1.8× 562 0.8× 257 0.6× 292 0.7× 154 9.3k
Liang Wang 3.0k 0.7× 501 0.6× 364 0.5× 293 0.6× 228 0.5× 433 7.2k
Siqian He 6.1k 1.5× 834 1.0× 195 0.3× 1.1k 2.5× 573 1.3× 14 12.4k
Jia Wang 7.7k 1.8× 2.2k 2.6× 330 0.4× 451 1.0× 524 1.2× 1.0k 19.8k
Jane He 3.9k 0.9× 1.2k 1.4× 443 0.6× 425 0.9× 199 0.5× 9 7.2k
Helen Cook 6.1k 1.5× 1.5k 1.8× 1.4k 1.9× 277 0.6× 156 0.4× 14 10.9k
Leonid Zaslavsky 6.8k 1.6× 1.5k 1.8× 1.7k 2.3× 672 1.5× 350 0.8× 23 12.6k
Duo Li 4.8k 1.1× 939 1.1× 787 1.1× 317 0.7× 365 0.8× 645 16.9k
Hsueh‐Wei Chang 3.5k 0.8× 494 0.6× 170 0.2× 328 0.7× 531 1.2× 283 7.1k

Countries citing papers authored by Kang Ning

Since Specialization
Citations

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

Fields of papers citing papers by Kang Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Ning

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Ning. A scholar is included among the top collaborators of Kang Ning 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 Kang Ning. Kang Ning 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.
Yao, Shuai, et al.. (2025). Deciphering the biosynthetic potential of microbial genomes using a BGC language processing neural network model. Nucleic Acids Research. 53(7). 7 indexed citations
2.
Ning, Kang, et al.. (2025). Intra-tumor microbiome-based tumor survival indices predict immune interaction and drug sensitivity on pan-cancer scale. mSystems. 10(7). e0031225–e0031225. 1 indexed citations
3.
4.
Li, Yan, et al.. (2024). Perturbed saliva microbiome is gender-specific in patients with oral lichen planus. Microbial Pathogenesis. 197. 107066–107066. 1 indexed citations
5.
Li, Zhou, Junhao Li, Kang Ning, et al.. (2024). Performance-based inverse structural design of complex gradient triply periodic minimal surface structures based on a deep learning approach. Materials Today Communications. 40. 109424–109424. 6 indexed citations
6.
Cheng, Mingyue, Shuai Luo, Chuanqi Jiang, et al.. (2024). A genome and gene catalog of the aquatic microbiomes of the Tibetan Plateau. Nature Communications. 15(1). 1438–1438. 26 indexed citations
7.
Cheng, Mingyue, et al.. (2024). Hidden Links Between Skin Microbiome and Skin Imaging Phenome. Genomics Proteomics & Bioinformatics. 22(4). 2 indexed citations
8.
9.
Hao, Siyuan, Kang Ning, Min Xiong, et al.. (2023). SARS‐CoV‐2 infection of polarized human airway epithelium induces necroptosis that causes airway epithelial barrier dysfunction. Journal of Medical Virology. 95(9). e29076–e29076. 10 indexed citations
10.
Chong, Hui, et al.. (2023). Tracing human life trajectory using gut microbial communities by context-aware deep learning. Briefings in Bioinformatics. 24(1). 3 indexed citations
11.
Wu, Xinyang, Peipei Zhang, Shuting Chen, et al.. (2023). A molecular toolkit to boost functional genomic studies in transformation-recalcitrant vegetable legumes. Horticulture Research. 10(5). uhad064–uhad064. 5 indexed citations
12.
Li, Yitong, Yue Li, Lei Chen, et al.. (2023). Reciprocal interaction between mitochondrial fission and mitophagy in postoperative delayed neurocognitive recovery in aged rats. CNS Neuroscience & Therapeutics. 29(11). 3322–3338. 13 indexed citations
13.
Ning, Kang, Zekun Wang, Fang Cheng, Ziying Yan, & Jianming Qiu. (2022). The small nonstructural protein NP1 of human bocavirus 1 directly interacts with Ku70 and RPA70 and facilitates viral DNA replication. PLoS Pathogens. 18(6). e1010578–e1010578. 15 indexed citations
14.
Hu, Ping, Yi Ye, Yi Wang, et al.. (2021). Association of Gut Microbiota during Early Pregnancy with Risk of Incident Gestational Diabetes Mellitus. The Journal of Clinical Endocrinology & Metabolism. 106(10). e4128–e4141. 36 indexed citations
15.
Wang, Lixiao, Maozhen Han, Xi Li, et al.. (2021). Mechanisms of niche‐neutrality balancing can drive the assembling of microbial community. Molecular Ecology. 30(6). 1492–1504. 33 indexed citations
16.
Hao, Siyuan, et al.. (2020). Long-Term Modeling of SARS-CoV-2 Infection of In Vitro Cultured Polarized Human Airway Epithelium. mBio. 11(6). 70 indexed citations
17.
Han, Maozhen, Kun Yang, Pengshuo Yang, et al.. (2020). Stratification of athletes’ gut microbiota: the multifaceted hubs associated with dietary factors, physical characteristics and performance. Gut Microbes. 12(1). 1842991–1842991. 72 indexed citations
18.
Wang, Lixiao, et al.. (2019). Niche and Neutrality Work Differently in Microbial Communities in Fluidic and Non-fluidic Ecosystems. Microbial Ecology. 79(3). 527–538. 15 indexed citations
19.
20.
Song, Baoxing, Xiaoquan Su, Jian Xu, & Kang Ning. (2012). Song, B., Su, X., Xu, J., Ning, K. (2012). MetaSee: An Interactive and Extendable Visualization Toolbox for Metagenomic Sample Analysis and Comparison. PLoS One, 7(11), e48998. doi: 10.1371/journal.pone.0048998. 7 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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