Kun Ling
Impact in
- Cell Biology top 0.5%
- Cellular transport and secretion
- Microtubule and mitosis dynamics
- Cellular Mechanics and Interactions
- Immunology and Allergy top 1%
- Cell Adhesion Molecules Research
Papers in
-
- Hedgehog Signaling Pathway Studies 8
- Renal and related cancers 7
- Protein Kinase Regulation and GTPase Signaling 7
- Genetics 28
- Genetic and Kidney Cyst Diseases 28
- Genetic Syndromes and Imprinting 7
- Co-authors
- Richard A. Anderson (14 shared papers)Jinghua Hu (31 shared papers)Qing Wei (15 shared papers)Ari J. Firestone (3 shared papers)Yuxia Zhang (11 shared papers)Yue Sun (5 shared papers)Matthew W. Bunce (1 shared paper)Yujie Li (5 shared papers)
- Journals
- Nature Communications (8 papers)The Journal of Cell Biology (7 papers)Journal of Biological Chemistry (5 papers)Scientific Reports (3 papers)Oncotarget (2 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Kun Ling
75 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 110
- Cell Biology 1.4k
- Immunology and Allergy 403
- Molecular Biology 2.1k
- Genetics 859
- Aging 44
Countries citing papers authored by Kun Ling
This map shows the geographic impact of Kun Ling'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 Kun Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Ling more than expected).
Fields of papers citing papers by Kun Ling
This network shows the impact of papers produced by Kun Ling. 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 Kun Ling. The network helps show where Kun Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Ling, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 392 | |
| 2 | 2010 | 203 | |
| 3 | 2012 | 170 | |
| 4 | 2007 | 138 | |
| 5 | 2003 | 131 | |
| 6 | 2010 | 130 | |
| 7 | 2006 | 125 | |
| 8 | 2012 | 95 | |
| 9 | 2013 | 92 | |
| 10 | 2007 | 83 | |
| 11 | 2006 | 79 | |
| 12 | 1999 | 74 | |
| 13 | 1999 | 74 | |
| 14 | 2007 | 70 | |
| 15 | 2016 | 69 | |
| 16 | 2021 | 66 | |
| 17 | 2018 | 61 | |
| 18 | 2003 | 59 | |
| 19 | 2015 | 56 | |
| 20 | 2015 | 55 |
About Kun Ling
Kun Ling is a scholar working on Molecular Biology, Genetics, Cell Biology, Immunology and Allergy and Immunology, having authored 77 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (28 papers), Microtubule and mitosis dynamics (11 papers), Cellular transport and secretion (10 papers), Cell Adhesion Molecules Research (9 papers), Hedgehog Signaling Pathway Studies (8 papers), Renal and related cancers (7 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Genetic Syndromes and Imprinting (7 papers). The work is most often cited by research in Cell Biology (1.4k citations), Immunology and Allergy (403 citations), Molecular Biology (2.1k citations), Genetics (859 citations) and Aging (44 citations). Kun Ling has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Richard A. Anderson, Jinghua Hu, Qing Wei, Ari J. Firestone, Yuxia Zhang, Yue Sun, Matthew W. Bunce, Yujie Li, Shawn F. Bairstow and Matthew P. Wagoner. Their work appears in journals such as Nature Communications, The Journal of Cell Biology, Journal of Biological Chemistry, Scientific Reports and Oncotarget.
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.