Jin Fu
Impact in
- Pollution top 5%
- Heavy metals in environment
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
Papers in
- Pollution 14
- Wastewater Treatment and Nitrogen Removal 8
- Heavy metals in environment 6
- Co-authors
- Yanshan Cui (2 shared papers)Alfred Mugambi Mariga (1 shared paper)Qiuhui Hu (1 shared paper)Ning Ma (1 shared paper)Xinyang Sun (1 shared paper)Xiaochang Liu (1 shared paper)Xuefeng Zhu (1 shared paper)Zhihong Xin (1 shared paper)
- Journals
- PLoS ONE (3 papers)Scientific Reports (2 papers)BMC Neuroscience (2 papers)Multiple Sclerosis and Related Disorders (2 papers)Stem Cell Research & Therapy (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Jin Fu
71 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 124
- Pollution 259
- Developmental Neuroscience 65
- Health, Toxicology and Mutagenesis 213
- Pharmacology 159
- Genetics 94
Countries citing papers authored by Jin Fu
This map shows the geographic impact of Jin Fu'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 Jin Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Fu more than expected).
Fields of papers citing papers by Jin Fu
This network shows the impact of papers produced by Jin Fu. 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 Jin Fu. The network helps show where Jin Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Fu, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 231 | |
| 2 | 2013 | 100 | |
| 3 | 2011 | 58 | |
| 4 | 2010 | 55 | |
| 5 | 2010 | 49 | |
| 6 | 2012 | 49 | |
| 7 | 2022 | 49 | |
| 8 | 2017 | 48 | |
| 9 | 2014 | 47 | |
| 10 | 2016 | 44 | |
| 11 | 2018 | 39 | |
| 12 | 2022 | 36 | |
| 13 | 2020 | 31 | |
| 14 | 2018 | 29 | |
| 15 | [Correlation between polymorphism of IL-4 and IL-10 gene promoter and childhood asthma and their impact upon cytokine expression]. | 2002 | 29 |
| 16 | 2018 | 24 | |
| 17 | 2022 | 22 | |
| 18 | 2013 | 22 | |
| 19 | 2018 | 22 | |
| 20 | 2023 | 21 |
About Jin Fu
Jin Fu is a scholar working on Pollution, Molecular Biology, Epidemiology, Immunology and Health, Toxicology and Mutagenesis, having authored 77 papers that have together received 1.3k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (8 papers), Neurogenesis and neuroplasticity mechanisms (6 papers), Microbial Fuel Cells and Bioremediation (6 papers), Mesenchymal stem cell research (6 papers), Heavy metals in environment (6 papers), Respiratory viral infections research (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers) and MicroRNA in disease regulation (5 papers). The work is most often cited by research in Pollution (259 citations), Developmental Neuroscience (65 citations), Health, Toxicology and Mutagenesis (213 citations), Pharmacology (159 citations) and Genetics (94 citations). Jin Fu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yanshan Cui, Alfred Mugambi Mariga, Qiuhui Hu, Ning Ma, Xinyang Sun, Xiaochang Liu, Xuefeng Zhu, Zhihong Xin, Wenjian Yang and Yong Fang. Their work appears in journals such as PLoS ONE, Scientific Reports, BMC Neuroscience, Multiple Sclerosis and Related Disorders and Stem Cell Research & Therapy.
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.