Bing Ni
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 2%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
-
- Protist diversity and phylogeny 15
- vaccines and immunoinformatics approaches 14
- Immunology 89
- Immune Cell Function and Interaction 39
- Immunotherapy and Immune Responses 38
- T-cell and B-cell Immunology 27
- Co-authors
- Yuzhang Wu (95 shared papers)Zhiqiang Tian (32 shared papers)Yi Tian (28 shared papers)Weiping Fan (4 shared papers)Bo Lei (3 shared papers)Keji Zhao (9 shared papers)Huaizhi Wang (15 shared papers)Weiwu Gao (18 shared papers)
- Journals
- Frontiers in Immunology (8 papers)Scientific Reports (7 papers)Immunological Investigations (6 papers)BMC Immunology (4 papers)Oncotarget (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bing Ni
267 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 156
- Cancer Research 1.0k
- Immunology 1.4k
- Molecular Biology 2.7k
- Hepatology 216
- Oncology 634
Countries citing papers authored by Bing Ni
This map shows the geographic impact of Bing Ni'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 Bing Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Ni more than expected).
Fields of papers citing papers by Bing Ni
This network shows the impact of papers produced by Bing Ni. 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 Bing Ni. The network helps show where Bing Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Ni, 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 278 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 269 | |
| 2 | 2019 | 268 | |
| 3 | 2014 | 183 | |
| 4 | 2016 | 142 | |
| 5 | 2019 | 141 | |
| 6 | 2012 | 135 | |
| 7 | 2021 | 133 | |
| 8 | 2018 | 127 | |
| 9 | 2013 | 126 | |
| 10 | 2006 | 97 | |
| 11 | 2021 | 84 | |
| 12 | 2015 | 83 | |
| 13 | 2021 | 82 | |
| 14 | 2016 | 73 | |
| 15 | 2014 | 73 | |
| 16 | 2023 | 72 | |
| 17 | 2017 | 72 | |
| 18 | 2012 | 70 | |
| 19 | 2013 | 69 | |
| 20 | 2002 | 58 |
About Bing Ni
Bing Ni is a scholar working on Molecular Biology, Immunology, Cancer Research, Epidemiology and Oncology, having authored 278 papers that have together received 6.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (39 papers), Immunotherapy and Immune Responses (38 papers), T-cell and B-cell Immunology (27 papers), Cancer-related molecular mechanisms research (17 papers), Hepatitis B Virus Studies (16 papers), MicroRNA in disease regulation (16 papers), Protist diversity and phylogeny (15 papers) and vaccines and immunoinformatics approaches (14 papers). The work is most often cited by research in Cancer Research (1.0k citations), Immunology (1.4k citations), Molecular Biology (2.7k citations), Hepatology (216 citations) and Oncology (634 citations). Bing Ni has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuzhang Wu, Zhiqiang Tian, Yi Tian, Weiping Fan, Bo Lei, Keji Zhao, Huaizhi Wang, Weiwu Gao, Kairong Cui and Yan Tang. Their work appears in journals such as Frontiers in Immunology, Scientific Reports, Immunological Investigations, BMC Immunology and Oncotarget.
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.