Nansu Zong
- Molecular Biology
- Artificial Intelligence top 10%
- Computational Theory and Mathematics top 5%
- Health Information Management top 2%
- Information Systems top 10%
- Co-authors
- Victoria NgoHyeoneui KimOlivier HarismendyAndrew WenHongfang LiuGuoqian JiangMing HuangHong‐Gee Kim
- Topics
- Biomedical Text Mining and Ontologies (19 papers)Bioinformatics and Genomic Networks (8 papers)Semantic Web and Ontologies (8 papers)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Nansu Zong
43 papers receiving 625 citations
Peers
Comparison fields: 5 of 101
- Molecular Biology 322
- Artificial Intelligence 201
- Computational Theory and Mathematics 162
- Health Information Management 98
- Information Systems 75
Countries citing papers authored by Nansu Zong
This map shows the geographic impact of Nansu Zong'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 Nansu Zong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nansu Zong more than expected).
Fields of papers citing papers by Nansu Zong
This network shows the impact of papers produced by Nansu Zong. 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 Nansu Zong. The network helps show where Nansu Zong may publish in the future.
Co-authorship network of co-authors of Nansu Zong
This figure shows the co-authorship network connecting the top 25 collaborators of Nansu Zong. A scholar is included among the top collaborators of Nansu Zong 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 Nansu Zong. Nansu Zong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 30 | |
| 7 | 19 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 17 | |
| 11 | 16 | |
| 12 | 17 | |
| 13 | 8 | |
| 14 | 10 | |
| 15 | 3 | |
| 16 | 45 | |
| 17 | 3 | |
| 18 | 60 | |
| 19 | 13 | |
| 20 | 55 |
About Nansu Zong
Nansu Zong is a scholar working on Health Information Management, Health Informatics and Artificial Intelligence, having authored 46 papers that have together received 644 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (19 papers), Bioinformatics and Genomic Networks (8 papers) and Semantic Web and Ontologies (8 papers). The work is most often cited by research in Health Information Management (98 citations), Health Informatics (25 citations) and Computational Theory and Mathematics (162 citations). Nansu Zong has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Victoria Ngo, Hyeoneui Kim, Olivier Harismendy, Andrew Wen, Hongfang Liu, Guoqian Jiang, Ming Huang, Hong‐Gee Kim, Deepak Sharma and Sunyang Fu. Their work appears in journals such as Nature Genetics, Journal of Clinical Oncology 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.