Kui Su
Impact in
- Immunology top 10%
- Complement system in diseases
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Extracellular vesicles in disease 4
- Receptor Mechanisms and Signaling 3
- Cell death mechanisms and regulation 3
- RNA Interference and Gene Delivery 2
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- Phagocytosis and Immune Regulation 4
- interferon and immune responses 3
- Co-authors
- Zhizhen Zeng (8 shared papers)Yi Li (3 shared papers)Ping Fan (5 shared papers)Henry M. Sarau (1 shared paper)Derk J. Bergsma (1 shared paper)Anthony J. Jurewicz (1 shared paper)Chandrika Kumar (1 shared paper)James J. Foley (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (6 papers)Genomics (2 papers)APOPTOSIS (2 papers)Cancers (2 papers)DNA and Cell Biology (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Kui Su
28 papers receiving 858 citations
Peers
Comparison fields: 5 of 104
- Immunology 250
- Cancer Research 130
- Physiology 33
- Molecular Biology 459
- Immunology and Allergy 31
Countries citing papers authored by Kui Su
This map shows the geographic impact of Kui Su'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 Kui Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kui Su more than expected).
Fields of papers citing papers by Kui Su
This network shows the impact of papers produced by Kui Su. 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 Kui Su. The network helps show where Kui Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Kui Su, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 225 | |
| 2 | 1997 | 69 | |
| 3 | 2019 | 59 | |
| 4 | 1997 | 59 | |
| 5 | 1998 | 53 | |
| 6 | 2001 | 47 | |
| 7 | 1998 | 40 | |
| 8 | Somatic mutation of TSSC5, a novel imprinted gene from human chromosome 11p15.5. | 1998 | 39 |
| 9 | 2022 | 34 | |
| 10 | 2020 | 33 | |
| 11 | 1997 | 28 | |
| 12 | 2016 | 24 | |
| 13 | 1998 | 24 | |
| 14 | 1997 | 21 | |
| 15 | 2022 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2000 | 14 | |
| 18 | 2021 | 12 | |
| 19 | 2022 | 12 | |
| 20 | 2022 | 11 |
About Kui Su
Kui Su is a scholar working on Molecular Biology, Immunology, Genetics, Cancer Research and Oncology, having authored 30 papers that have together received 881 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (4 papers), Phagocytosis and Immune Regulation (4 papers), interferon and immune responses (3 papers), Receptor Mechanisms and Signaling (3 papers), Cancer-related molecular mechanisms research (3 papers), Cell death mechanisms and regulation (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Immunology (250 citations), Cancer Research (130 citations), Physiology (33 citations), Molecular Biology (459 citations) and Immunology and Allergy (31 citations). Kui Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhizhen Zeng, Yi Li, Ping Fan, Henry M. Sarau, Derk J. Bergsma, Anthony J. Jurewicz, Chandrika Kumar, James J. Foley, Catherine Ellis and Robert Hertzberg. Their work appears in journals such as Biochemical and Biophysical Research Communications, Genomics, APOPTOSIS, Cancers and DNA and Cell Biology.
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.