Xiaoni Kong
Impact in
- Hepatology top 1%
- Liver physiology and pathology
- Liver Disease and Transplantation
- Immunology top 2%
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
- Epidemiology 38
- Liver Disease Diagnosis and Treatment 35
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- RNA modifications and cancer 7
- Co-authors
- Bin Gao (10 shared papers)Hua Wang (6 shared papers)Dechun Feng (9 shared papers)Shyam Biswal (4 shared papers)Rajesh K. Thimmulappa (4 shared papers)Hailong Wu (20 shared papers)Qiang Xia (15 shared papers)Yankai Wen (12 shared papers)
- Journals
- International Journal of Biological Sciences (12 papers)Hepatology (7 papers)Frontiers in Pharmacology (5 papers)Liver Research (5 papers)Cell Death and Disease (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaoni Kong
109 papers receiving 4.4k citations
Peers
Comparison fields: 5 of 118
- Hepatology 902
- Immunology 952
- Pharmacology 351
- Epidemiology 1.3k
- Cancer Research 515
Countries citing papers authored by Xiaoni Kong
This map shows the geographic impact of Xiaoni 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 Xiaoni Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoni Kong more than expected).
Fields of papers citing papers by Xiaoni Kong
This network shows the impact of papers produced by Xiaoni 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 Xiaoni Kong. The network helps show where Xiaoni Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoni 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 114 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 352 | |
| 2 | 2008 | 306 | |
| 3 | 2011 | 263 | |
| 4 | 2011 | 210 | |
| 5 | 2019 | 208 | |
| 6 | 2011 | 178 | |
| 7 | 2010 | 165 | |
| 8 | 2019 | 157 | |
| 9 | 2014 | 138 | |
| 10 | 2017 | 133 | |
| 11 | 2012 | 127 | |
| 12 | 2007 | 114 | |
| 13 | 2017 | 106 | |
| 14 | 2012 | 94 | |
| 15 | 2016 | 90 | |
| 16 | 2012 | 87 | |
| 17 | 2013 | 86 | |
| 18 | 2020 | 72 | |
| 19 | 2014 | 70 | |
| 20 | 2009 | 69 |
About Xiaoni Kong
Xiaoni Kong is a scholar working on Epidemiology, Molecular Biology, Hepatology, Immunology and Surgery, having authored 114 papers that have together received 4.4k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (35 papers), Liver physiology and pathology (17 papers), Drug-Induced Hepatotoxicity and Protection (12 papers), Liver Disease and Transplantation (10 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers), Cancer-related molecular mechanisms research (8 papers), RNA modifications and cancer (7 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Hepatology (902 citations), Immunology (952 citations), Pharmacology (351 citations), Epidemiology (1.3k citations) and Cancer Research (515 citations). Xiaoni Kong has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Bin Gao, Hua Wang, Dechun Feng, Shyam Biswal, Rajesh K. Thimmulappa, Hailong Wu, Qiang Xia, Yankai Wen, Seogsong Jeong and Ponvijay Kombairaju. Their work appears in journals such as International Journal of Biological Sciences, Hepatology, Frontiers in Pharmacology, Liver Research and Cell Death and Disease.
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.