Bing Niu
Impact in
- Immunology and Allergy top 5%
- Food Allergy and Anaphylaxis Research
- Agronomy and Crop Science top 10%
- Animal Disease Management and Epidemiology
Papers in
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- Identification and Quantification in Food 8
-
- Computational Drug Discovery Methods 13
- Co-authors
- Qin Chen (57 shared papers)Xin Cao (10 shared papers)Xiaodong Sun (16 shared papers)Ruirui Liang (10 shared papers)Sijing Xia (6 shared papers)Xiaojun Deng (15 shared papers)Xiaosheng Qu (10 shared papers)Yi Lu (4 shared papers)
- Journals
- BioMed Research International (4 papers)Journal of Applied Microbiology (3 papers)Current Topics in Medicinal Chemistry (3 papers)BMC Veterinary Research (3 papers)Frontiers in Veterinary Science (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Bing Niu
108 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 168
- Immunology and Allergy 101
- Agronomy and Crop Science 91
- Computational Theory and Mathematics 127
- Food Science 141
- Molecular Biology 483
Countries citing papers authored by Bing Niu
This map shows the geographic impact of Bing Niu'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 Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Niu more than expected).
Fields of papers citing papers by Bing Niu
This network shows the impact of papers produced by Bing Niu. 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 Niu. The network helps show where Bing Niu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing Niu, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 92 | |
| 2 | 2019 | 73 | |
| 3 | 2019 | 65 | |
| 4 | 2020 | 45 | |
| 5 | 2022 | 45 | |
| 6 | 2021 | 39 | |
| 7 | 2019 | 38 | |
| 8 | 2018 | 37 | |
| 9 | 2021 | 37 | |
| 10 | 2017 | 33 | |
| 11 | 2018 | 33 | |
| 12 | 2019 | 31 | |
| 13 | 2022 | 31 | |
| 14 | 2018 | 28 | |
| 15 | 2019 | 27 | |
| 16 | 2017 | 27 | |
| 17 | 2021 | 24 | |
| 18 | 2018 | 24 | |
| 19 | 2017 | 24 | |
| 20 | 2017 | 24 |
About Bing Niu
Bing Niu is a scholar working on Molecular Biology, Computational Theory and Mathematics, Agronomy and Crop Science, Immunology and Allergy and Food Science, having authored 110 papers that have together received 1.5k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (13 papers), Animal Disease Management and Epidemiology (10 papers), Food Allergy and Anaphylaxis Research (9 papers), Identification and Quantification in Food (8 papers), Viral Infections and Vectors (6 papers), Vector-Borne Animal Diseases (5 papers), Listeria monocytogenes in Food Safety (5 papers) and Cholinesterase and Neurodegenerative Diseases (5 papers). The work is most often cited by research in Immunology and Allergy (101 citations), Agronomy and Crop Science (91 citations), Computational Theory and Mathematics (127 citations), Food Science (141 citations) and Molecular Biology (483 citations). Bing Niu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qin Chen, Xin Cao, Xiaodong Sun, Ruirui Liang, Sijing Xia, Xiaojun Deng, Xiaosheng Qu, Yi Lu, Quanlin An and Qiang Su. Their work appears in journals such as BioMed Research International, Journal of Applied Microbiology, Current Topics in Medicinal Chemistry, BMC Veterinary Research and Frontiers in Veterinary Science.
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.