Kang Ning
Impact in
- Periodontics top 1%
- Molecular Biology top 1%
- Gut microbiota and health
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
- Metabolomics and Mass Spectrometry Studies
Papers in
-
- Gut microbiota and health 47
- Genomics and Phylogenetic Studies 43
- Bioinformatics and Genomic Networks 22
- Metabolomics and Mass Spectrometry Studies 19
- Machine Learning in Bioinformatics 14
- Gene expression and cancer classification 13
- Ecology 38
- Microbial Community Ecology and Physiology 30
- Co-authors
- Hong Bai (7 shared papers)Runzhi Zhang (4 shared papers)Xue Zhu (16 shared papers)Jian Xu (27 shared papers)Xiaoquan Su (30 shared papers)Maozhen Han (22 shared papers)Alexey I. Nesvizhskii (4 shared papers)Wai Yie Leong (20 shared papers)
- Journals
- Scientific Reports (16 papers)PLoS ONE (10 papers)Genomics Proteomics & Bioinformatics (8 papers)BMC Bioinformatics (8 papers)Bioinformatics (7 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Kang Ning
361 papers receiving 7.9k citations
Kang Ning's Hit Papers
Peers
Comparison fields: 5 of 198
- Periodontics 240
- Molecular Biology 3.8k
- Complementary and alternative medicine 357
- Pharmacology 322
- Molecular Medicine 161
Countries citing papers authored by Kang Ning
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
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-authors
The 25 scholars most cited alongside Kang Ning, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 373 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Network Pharmacology Databases for Traditional Chinese Medicine: Review and Assessment Hit paper breakdown → | 2019 | 908 |
| 2 | 2014 | 314 | |
| 3 | 2011 | 290 | |
| 4 | 2020 | 207 | |
| 5 | 2017 | 164 | |
| 6 | 2008 | 121 | |
| 7 | 2016 | 118 | |
| 8 | 2014 | 115 | |
| 9 | 2021 | 113 | |
| 10 | 2019 | 110 | |
| 11 | 2012 | 109 | |
| 12 | 2019 | 108 | |
| 13 | 2017 | 95 | |
| 14 | 2014 | 84 | |
| 15 | 2012 | 82 | |
| 16 | 2021 | 82 | |
| 17 | 2014 | 82 | |
| 18 | 2020 | 74 | |
| 19 | 2020 | 71 | |
| 20 | 2015 | 66 |
About Kang Ning
Kang Ning is a scholar working on Molecular Biology, Ecology, Plant Science, Artificial Intelligence and Immunology, having authored 373 papers that have together received 8.1k indexed citations. Recurring topics across this work include Gut microbiota and health (47 papers), Genomics and Phylogenetic Studies (43 papers), Microbial Community Ecology and Physiology (30 papers), Bioinformatics and Genomic Networks (22 papers), Metabolomics and Mass Spectrometry Studies (19 papers), Plant Molecular Biology Research (14 papers), Machine Learning in Bioinformatics (14 papers) and Gene expression and cancer classification (13 papers). The work is most often cited by research in Periodontics (240 citations), Molecular Biology (3.8k citations), Complementary and alternative medicine (357 citations), Pharmacology (322 citations) and Molecular Medicine (161 citations). Kang Ning has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Hong Bai, Runzhi Zhang, Xue Zhu, Jian Xu, Xiaoquan Su, Maozhen Han, Alexey I. Nesvizhskii, Wai Yie Leong, Mingyue Cheng and Pengshuo Yang. Their work appears in journals such as Scientific Reports, PLoS ONE, Genomics Proteomics & Bioinformatics, BMC Bioinformatics and Bioinformatics.
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.