Yun Kong
- Molecular Biology top 5%
- Organic Chemistry top 5%
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biotechnology top 5%
- Co-authors
- Henrik ClausenEric BennettHans H. WandallSergey Y. VakhrushevSteven B. LeveryUlla MandelMalene Bech Vester-ChristensenCatharina Steentoft
- Topics
- Glycosylation and Glycoproteins Research (22 papers)Carbohydrate Chemistry and Synthesis (9 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)
- Journals
- Chemical ReviewsProceedings of the National Academy of SciencesAngewandte Chemie International Edition
- Partner nations
- ChinaDenmarkUnited States
In The Last Decade
Yun Kong
24 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.7k
- Organic Chemistry 540
- Immunology 515
- Radiology, Nuclear Medicine and Imaging 218
- Biotechnology 187
Countries citing papers authored by Yun Kong
This map shows the geographic impact of Yun Kong'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 Yun Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Kong more than expected).
Fields of papers citing papers by Yun Kong
This network shows the impact of papers produced by Yun Kong. 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 Yun Kong. The network helps show where Yun Kong may publish in the future.
Co-authorship network of co-authors of Yun Kong
This figure shows the co-authorship network connecting the top 25 collaborators of Yun Kong. A scholar is included among the top collaborators of Yun Kong 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 Yun Kong. Yun Kong 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 | 3 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 2 | |
| 7 | 16 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 5 | |
| 11 | 9 | |
| 12 | 3 | |
| 13 | 16 | |
| 14 | 75 | |
| 15 | 90 | |
| 16 | 42 | |
| 17 | 78 | |
| 18 | Precision mapping of the human O‐GalNAc glycoproteome through SimpleCell technologybreakdown → | 1091 |
| 19 | 104 | |
| 20 | 7 |
About Yun Kong
Yun Kong is a scholar working on Endocrinology, Immunology and Molecular Biology, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (22 papers), Carbohydrate Chemistry and Synthesis (9 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). The work is most often cited by research in Immunology (515 citations), Molecular Biology (1.7k citations) and Biotechnology (187 citations). Yun Kong has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Henrik Clausen, Eric Bennett, Hans H. Wandall, Sergey Y. Vakhrushev, Steven B. Levery, Ulla Mandel, Malene Bech Vester-Christensen, Catharina Steentoft, Hiren J. Joshi and Nis Borbye‐Lorenzen. Their work appears in journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.
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.