Hanbing Ning
Impact in
- Aging top 10%
-
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Circular RNAs in diseases 2
- Cancer-related gene regulation 2
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 3
- Co-authors
- Tingting Li (1 shared paper)Shuai Lv (6 shared papers)Denis Firsanov (1 shared paper)Gregory Tombline (1 shared paper)Julia Ablaeva (1 shared paper)Andrei Seluanov (1 shared paper)Vera Gorbunova (1 shared paper)Masaki Takasugi (1 shared paper)
- Journals
- Nature Communications (1 paper)Biochemical and Biophysical Research Communications (1 paper)Cancer Biology & Therapy (1 paper)Phytotherapy Research (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Hanbing Ning
25 papers receiving 511 citations
Peers
Comparison fields: 5 of 82
- Aging 19
- Cancer Research 124
- Hepatology 31
- Geriatrics and Gerontology 11
- Molecular Biology 219
Countries citing papers authored by Hanbing Ning
This map shows the geographic impact of Hanbing Ning'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 Hanbing Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanbing Ning more than expected).
Fields of papers citing papers by Hanbing Ning
This network shows the impact of papers produced by Hanbing Ning. 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 Hanbing Ning. The network helps show where Hanbing Ning may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanbing Ning, 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 | 2020 | 84 | |
| 2 | 2007 | 58 | |
| 3 | 2021 | 47 | |
| 4 | 2018 | 47 | |
| 5 | 2020 | 35 | |
| 6 | 2023 | 34 | |
| 7 | 2006 | 34 | |
| 8 | 2021 | 23 | |
| 9 | 2024 | 17 | |
| 10 | 2022 | 17 | |
| 11 | 2016 | 17 | |
| 12 | 2020 | 16 | |
| 13 | 2018 | 15 | |
| 14 | 2015 | 15 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2020 | 7 | |
| 19 | 2021 | 6 | |
| 20 | 2020 | 3 |
About Hanbing Ning
Hanbing Ning is a scholar working on Molecular Biology, Cancer Research, Surgery, Epidemiology and Physiology, having authored 25 papers that have together received 516 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (4 papers), Digestive system and related health (3 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (2 papers), Cancer-related gene regulation (2 papers), Cancer Research and Treatments (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Aging (19 citations), Cancer Research (124 citations), Hepatology (31 citations), Geriatrics and Gerontology (11 citations) and Molecular Biology (219 citations). Hanbing Ning has collaborated with scholars based in China and United States. Frequent co-authors include Tingting Li, Shuai Lv, Denis Firsanov, Gregory Tombline, Julia Ablaeva, Andrei Seluanov, Vera Gorbunova, Masaki Takasugi, Yingxia Li and Lihua Xing. Their work appears in journals such as Nature Communications, Biochemical and Biophysical Research Communications, Cancer Biology & Therapy, Phytotherapy Research and The International Journal of Biochemistry & 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.