Xiaohui Kong
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Circadian rhythm and melatonin
Papers in
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- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
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- Pluripotent Stem Cells Research 1
- Co-authors
- Nelson H. Knudsen (1 shared paper)Haiming Wei (2 shared papers)Nora Kory (1 shared paper)Ryan Alexander (1 shared paper)Xiaobo Li (1 shared paper)Chih‐Hao Lee (1 shared paper)David Jacobi (1 shared paper)Zhigang Tian (2 shared papers)
- Journals
- Stem Cell Research (3 papers)Blood (2 papers)Journal of Clinical Investigation (2 papers)The Journal of Immunology (2 papers)Nature Communications (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Xiaohui Kong
22 papers receiving 626 citations
Peers
Comparison fields: 5 of 79
- Aging 62
- Endocrine and Autonomic Systems 208
- Physiology 173
- Immunology 130
- Hepatology 35
Countries citing papers authored by Xiaohui Kong
This map shows the geographic impact of Xiaohui 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 Xiaohui Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohui Kong more than expected).
Fields of papers citing papers by Xiaohui Kong
This network shows the impact of papers produced by Xiaohui 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 Xiaohui Kong. The network helps show where Xiaohui Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohui Kong, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 309 | |
| 2 | 2014 | 91 | |
| 3 | 2008 | 43 | |
| 4 | 2020 | 36 | |
| 5 | 2013 | 35 | |
| 6 | 2020 | 27 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 10 | |
| 10 | 2021 | 8 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 6 | |
| 13 | [The first imported measles case associated with genotype D4 measles virus in China]. | 2010 | 6 |
| 14 | 2024 | 5 | |
| 15 | 2016 | 5 | |
| 16 | 2023 | 3 | |
| 17 | 2023 | 3 | |
| 18 | Study of viral etiology of acute lower respiratory tract infection in children | 2009 | 2 |
| 19 | 2023 | 2 | |
| 20 | 2024 | 1 |
About Xiaohui Kong
Xiaohui Kong is a scholar working on Immunology, Molecular Biology, Epidemiology, Hematology and Surgery, having authored 25 papers that have together received 629 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers), Respiratory viral infections research (3 papers), Cardiac electrophysiology and arrhythmias (1 paper), Pluripotent Stem Cells Research (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Aging (62 citations), Endocrine and Autonomic Systems (208 citations), Physiology (173 citations), Immunology (130 citations) and Hepatology (35 citations). Xiaohui Kong has collaborated with scholars based in China, United States and France. Frequent co-authors include Nelson H. Knudsen, Haiming Wei, Nora Kory, Ryan Alexander, Xiaobo Li, Chih‐Hao Lee, David Jacobi, Zhigang Tian, Rui Sun and Sihao Liu. Their work appears in journals such as Stem Cell Research, Blood, Journal of Clinical Investigation, The Journal of Immunology and Nature Communications.
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.