Bo Kong
Impact in
- Hepatology top 2%
- Liver Diseases and Immunity
- Oncology top 2%
- Drug Transport and Resistance Mechanisms
Papers in
-
- Fibroblast Growth Factor Research 16
- Epigenetics and DNA Methylation 5
- Oncology 33
- Drug Transport and Resistance Mechanisms 27
- Co-authors
- Grace L. Guo (57 shared papers)John Y.L. Chiang (3 shared papers)Li Wang (3 shared papers)Curtis D. Klaassen (2 shared papers)Youcai Zhang (1 shared paper)James P. Luyendyk (4 shared papers)Ossama Tawfik (4 shared papers)Daniel Rizzolo (9 shared papers)
- Journals
- Hepatology (9 papers)Toxicology and Applied Pharmacology (6 papers)PLoS ONE (5 papers)Toxicological Sciences (5 papers)Nature Communications (4 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Bo Kong
96 papers receiving 3.3k citations
Bo Kong's Hit Papers
Peers
Comparison fields: 5 of 117
- Hepatology 412
- Oncology 1.1k
- Epidemiology 1.1k
- Pharmacology 202
- Surgery 766
Countries citing papers authored by Bo Kong
This map shows the geographic impact of Bo 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 Bo Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bo Kong more than expected).
Fields of papers citing papers by Bo Kong
This network shows the impact of papers produced by Bo 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 Bo Kong. The network helps show where Bo Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Bo 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mechanism of tissue-specific farnesoid X receptor in suppressing the expression of genes in bile-acid synthesis in mice Hit paper breakdown → | 2012 | 389 |
| 2 | 2010 | 197 | |
| 3 | 2009 | 170 | |
| 4 | 2008 | 162 | |
| 5 | 2018 | 148 | |
| 6 | 2014 | 111 | |
| 7 | 2014 | 103 | |
| 8 | 2014 | 88 | |
| 9 | 2021 | 73 | |
| 10 | 2012 | 73 | |
| 11 | 2019 | 65 | |
| 12 | 2017 | 62 | |
| 13 | 2019 | 60 | |
| 14 | 2018 | 60 | |
| 15 | 2019 | 58 | |
| 16 | 2020 | 57 | |
| 17 | 2018 | 53 | |
| 18 | 2013 | 52 | |
| 19 | 2014 | 49 | |
| 20 | 2014 | 49 |
About Bo Kong
Bo Kong is a scholar working on Molecular Biology, Oncology, Epidemiology, Surgery and Hepatology, having authored 102 papers that have together received 3.3k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (27 papers), Fibroblast Growth Factor Research (16 papers), Liver Disease Diagnosis and Treatment (14 papers), Cholesterol and Lipid Metabolism (7 papers), Pediatric Hepatobiliary Diseases and Treatments (6 papers), Trace Elements in Health (6 papers), Liver physiology and pathology (5 papers) and Epigenetics and DNA Methylation (5 papers). The work is most often cited by research in Hepatology (412 citations), Oncology (1.1k citations), Epidemiology (1.1k citations), Pharmacology (202 citations) and Surgery (766 citations). Bo Kong has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Grace L. Guo, John Y.L. Chiang, Li Wang, Curtis D. Klaassen, Youcai Zhang, James P. Luyendyk, Ossama Tawfik, Daniel Rizzolo, Ann Thomas and Jessica A. Williams. Their work appears in journals such as Hepatology, Toxicology and Applied Pharmacology, PLoS ONE, Toxicological Sciences 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.