Yi Guo
Impact in
- Biochemistry top 0.1%
- Lipid metabolism and biosynthesis
- Aging top 5%
Papers in
-
- Photosynthetic Processes and Mechanisms 12
- Plant Reproductive Biology 11
- Pollution 24
- Wastewater Treatment and Nitrogen Removal 14
- Pharmaceutical and Antibiotic Environmental Impacts 13
- Co-authors
- Robert V. Farese (4 shared papers)Tobias C. Walther (3 shared papers)Michael A. Welte (3 shared papers)Steven P. Gross (2 shared papers)Silvia Cermelli (1 shared paper)Kimberly R. Cordes (1 shared paper)Cuijun Zhang (5 shared papers)Yun Song (5 shared papers)
- Journals
- Journal of Hazardous Materials (10 papers)Chemical Engineering Journal (6 papers)PLANT PHYSIOLOGY (5 papers)The Science of The Total Environment (4 papers)Water Research (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yi Guo
65 papers receiving 3.6k citations
Yi Guo's Hit Papers
Peers
Comparison fields: 5 of 120
- Biochemistry 1.3k
- Aging 60
- Cell Biology 545
- Pollution 373
- Molecular Biology 1.9k
Countries citing papers authored by Yi Guo
This map shows the geographic impact of Yi Guo'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 Yi Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Guo more than expected).
Fields of papers citing papers by Yi Guo
This network shows the impact of papers produced by Yi Guo. 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 Yi Guo. The network helps show where Yi Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi Guo, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Functional genomic screen reveals genes involved in lipid-droplet formation and utilization Hit paper breakdown → | 2008 | 616 |
| 2 | 2011 | 413 | |
| 3 | 2006 | 408 | |
| 4 | 2009 | 318 | |
| 5 | 2008 | 183 | |
| 6 | 2020 | 146 | |
| 7 | 2015 | 125 | |
| 8 | 2013 | 125 | |
| 9 | 2020 | 96 | |
| 10 | 2011 | 95 | |
| 11 | 2003 | 80 | |
| 12 | 2017 | 72 | |
| 13 | 2015 | 72 | |
| 14 | 2006 | 57 | |
| 15 | 2005 | 56 | |
| 16 | 2011 | 52 | |
| 17 | 2021 | 50 | |
| 18 | 2016 | 42 | |
| 19 | 2022 | 39 | |
| 20 | 2011 | 38 |
About Yi Guo
Yi Guo is a scholar working on Molecular Biology, Pollution, Plant Science, Health, Toxicology and Mutagenesis and Environmental Chemistry, having authored 66 papers that have together received 3.6k indexed citations. Recurring topics across this work include Wastewater Treatment and Nitrogen Removal (14 papers), Pharmaceutical and Antibiotic Environmental Impacts (13 papers), Photosynthetic Processes and Mechanisms (12 papers), Water Treatment and Disinfection (12 papers), Plant Molecular Biology Research (11 papers), Plant Reproductive Biology (11 papers), Plant Stress Responses and Tolerance (11 papers) and Lipid metabolism and biosynthesis (5 papers). The work is most often cited by research in Biochemistry (1.3k citations), Aging (60 citations), Cell Biology (545 citations), Pollution (373 citations) and Molecular Biology (1.9k citations). Yi Guo has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Robert V. Farese, Tobias C. Walther, Michael A. Welte, Steven P. Gross, Silvia Cermelli, Kimberly R. Cordes, Cuijun Zhang, Yun Song, Peter Walter and Gohta Goshima. Their work appears in journals such as Journal of Hazardous Materials, Chemical Engineering Journal, PLANT PHYSIOLOGY, The Science of The Total Environment and Water Research.
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.