Li Fu
Impact in
- Microbiology top 0.2%
- Reproductive tract infections research
- Rheumatology top 2%
- Pelvic floor disorders treatments
Papers in
-
- Reproductive tract infections research 5
- Co-authors
- Pawel GajerJacques RavelLarry J. ForneyRebecca M. BrotmanJoyce M. SakamotoSara S. K. KoenigXia ZhouZhanshan Ma
- Journals
- Journal of Soils and Sediments (2 papers)mBio (2 papers)Wetlands (1 paper)npj Computational Materials (1 paper)The ISME Journal (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Li Fu
40 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Microbiology 1.1k
- Rheumatology 372
- Epidemiology 764
- Molecular Biology 782
- Immunology 177
Countries citing papers authored by Li Fu
This map shows the geographic impact of Li 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 Li Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Fu more than expected).
Fields of papers citing papers by Li Fu
This network shows the impact of papers produced by Li 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 Li Fu. The network helps show where Li Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Li 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 20 | |
| 7 | 2022 | 63 | |
| 8 | 2021 | 91 | |
| 9 | 2020 | 5 | |
| 10 | 2020 | 33 | |
| 11 | 2019 | 30 | |
| 12 | 2018 | 4 | |
| 13 | 2017 | 6 | |
| 14 | 2015 | 12 | |
| 15 | 2014 | 15 | |
| 16 | 2013 | 226 | |
| 17 | 2011 | 41 | |
| 18 | 2010 | 21 | |
| 19 | Characteristic of spatial distribution and climate zone of natural grassland types in Qinghai | 2009 | 5 |
| 20 | Spatial distribution characteristics of natural grassland types and climate zones in Qinghai. | 2009 | 4 |
About Li Fu
Li Fu is a scholar working on Microbiology, Library and Information Sciences, Global and Planetary Change, Water Science and Technology and Industrial and Manufacturing Engineering, having authored 41 papers that have together received 2.0k indexed citations. Recurring topics across this work include Reproductive tract infections research (5 papers), Plant Water Relations and Carbon Dynamics (4 papers), Urinary Tract Infections Management (4 papers), Gut microbiota and health (3 papers), Hydrology and Watershed Management Studies (3 papers), Soil Carbon and Nitrogen Dynamics (3 papers), Water Quality Monitoring and Analysis (3 papers) and Tree-ring climate responses (2 papers). The work is most often cited by research in Microbiology (1.1k citations), Rheumatology (372 citations), Epidemiology (764 citations), Molecular Biology (782 citations) and Immunology (177 citations). Li Fu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Pawel Gajer, Jacques Ravel, Larry J. Forney, Rebecca M. Brotman, Joyce M. Sakamoto, Sara S. K. Koenig, Xia Zhou, Zhanshan Ma, Xue Zhong and Ursel M. E. Schütte. Their work appears in journals such as Journal of Soils and Sediments, mBio, Wetlands, npj Computational Materials and The ISME Journal.
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.