Bingning Dong
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 5
- CRISPR and Genetic Engineering 4
- Ubiquitin and proteasome pathways 3
- Cancer-related gene regulation 2
- Oncology 7
- Drug Transport and Resistance Mechanisms 5
- Co-authors
- David D. Moore (21 shared papers)Wendong Huang (7 shared papers)Mohammed Qatanani (2 shared papers)Xiongfei Huang (2 shared papers)Jun Liu (1 shared paper)Jun Zhang (1 shared paper)Ke Ma (1 shared paper)Feng Yang (10 shared papers)
- Journals
- Hepatology (8 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Clinical Investigation (3 papers)Nature Communications (2 papers)Biology (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Bingning Dong
30 papers receiving 2.1k citations
Bingning Dong's Hit Papers
Peers
Comparison fields: 5 of 94
- Hepatology 264
- Pharmacology 219
- Cancer Research 293
- Oncology 486
- Epidemiology 494
Countries citing papers authored by Bingning Dong
This map shows the geographic impact of Bingning Dong'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 Bingning Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingning Dong more than expected).
Fields of papers citing papers by Bingning Dong
This network shows the impact of papers produced by Bingning Dong. 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 Bingning Dong. The network helps show where Bingning Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Bingning Dong, 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 | Nuclear Receptor-Dependent Bile Acid Signaling Is Required for Normal Liver Regeneration Hit paper breakdown → | 2006 | 502 |
| 2 | 2009 | 215 | |
| 3 | 2015 | 213 | |
| 4 | 2016 | 158 | |
| 5 | 2019 | 153 | |
| 6 | 2017 | 90 | |
| 7 | Molecular mechanisms in MASLD/MASH-related HCC Hit paper breakdown → | 2024 | 80 |
| 8 | 2015 | 75 | |
| 9 | 2019 | 70 | |
| 10 | 2008 | 66 | |
| 11 | 2019 | 54 | |
| 12 | 2012 | 49 | |
| 13 | 2015 | 48 | |
| 14 | 2021 | 44 | |
| 15 | 2020 | 44 | |
| 16 | 2021 | 37 | |
| 17 | 2022 | 37 | |
| 18 | 2009 | 35 | |
| 19 | 2021 | 23 | |
| 20 | 2019 | 18 |
About Bingning Dong
Bingning Dong is a scholar working on Molecular Biology, Oncology, Surgery, Epidemiology and Hepatology, having authored 30 papers that have together received 2.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Drug Transport and Resistance Mechanisms (5 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), CRISPR and Genetic Engineering (4 papers), Ubiquitin and proteasome pathways (3 papers), Prostate Cancer Treatment and Research (3 papers), Liver physiology and pathology (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Hepatology (264 citations), Pharmacology (219 citations), Cancer Research (293 citations), Oncology (486 citations) and Epidemiology (494 citations). Bingning Dong has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include David D. Moore, Wendong Huang, Mohammed Qatanani, Xiongfei Huang, Jun Liu, Jun Zhang, Ke Ma, Feng Yang, Liang Zhang and Xiaobo Wang. Their work appears in journals such as Hepatology, Proceedings of the National Academy of Sciences, Journal of Clinical Investigation, Nature Communications and 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.