Gengming Niu
Impact in
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- Macrophage Migration Inhibitory Factor
- Immune Cell Function and Interaction
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- Nuclear Receptors and Signaling
Papers in
- Oncology 10
- Pancreatic and Hepatic Oncology Research 3
- Peptidase Inhibition and Analysis 3
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- Nuclear Receptors and Signaling 7
- Co-authors
- Chongwei Ke (17 shared papers)Zhiqing Hu (12 shared papers)Jun Ren (8 shared papers)Jie Xia (5 shared papers)Dezheng Zhao (6 shared papers)Huiyan Zeng (6 shared papers)Zhiqiang Wang (1 shared paper)Yun Xing (1 shared paper)
- Journals
- The FASEB Journal (3 papers)Microvascular Research (3 papers)Journal of Cancer (2 papers)Frontiers in Bioengineering and Biotechnology (1 paper)BioMed Research International (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Gengming Niu
30 papers receiving 434 citations
Peers
Comparison fields: 5 of 72
- Immunology 100
- Cellular and Molecular Neuroscience 82
- Cancer Research 61
- Oncology 88
- Molecular Biology 148
Countries citing papers authored by Gengming Niu
This map shows the geographic impact of Gengming 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 Gengming Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gengming Niu more than expected).
Fields of papers citing papers by Gengming Niu
This network shows the impact of papers produced by Gengming 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 Gengming Niu. The network helps show where Gengming Niu may publish in the future.
Co-authors
The 25 scholars most cited alongside Gengming 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 82 | |
| 2 | 2014 | 37 | |
| 3 | 2014 | 32 | |
| 4 | 2023 | 31 | |
| 5 | 2018 | 27 | |
| 6 | 2020 | 20 | |
| 7 | 2018 | 20 | |
| 8 | 2020 | 19 | |
| 9 | 2014 | 18 | |
| 10 | 2016 | 16 | |
| 11 | 2018 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2022 | 13 | |
| 14 | 2024 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2017 | 9 | |
| 17 | 2019 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2016 | 7 | |
| 20 | 2019 | 7 |
About Gengming Niu
Gengming Niu is a scholar working on Oncology, Cellular and Molecular Neuroscience, Immunology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 31 papers that have together received 439 indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (7 papers), Macrophage Migration Inhibitory Factor (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Ferroptosis and cancer prognosis (2 papers), Silk-based biomaterials and applications (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Immunology (100 citations), Cellular and Molecular Neuroscience (82 citations), Cancer Research (61 citations), Oncology (88 citations) and Molecular Biology (148 citations). Gengming Niu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Chongwei Ke, Zhiqing Hu, Jun Ren, Jie Xia, Dezheng Zhao, Huiyan Zeng, Zhiqiang Wang, Yun Xing, Jiawei Gu and Zhou Lu. Their work appears in journals such as The FASEB Journal, Microvascular Research, Journal of Cancer, Frontiers in Bioengineering and Biotechnology and BioMed Research International.
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.