Na Mi
Impact in
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism
- Lysosomal Storage Disorders Research
- Epidemiology top 2%
- Autophagy in Disease and Therapy
Papers in
-
- Plant responses to elevated CO2 5
- Co-authors
- Li Yu (3 shared papers)Dale W. Hailey (1 shared paper)Gonzalo A. Mardones (1 shared paper)Michael J. Lenardo (1 shared paper)Yueguang Rong (1 shared paper)Ying Zhao (1 shared paper)Christina McPhee (1 shared paper)Fengyi Wan (1 shared paper)
- Journals
- Journal of Agricultural and Food Chemistry (7 papers)Water (4 papers)Environmental Science & Technology (4 papers)The Science of The Total Environment (4 papers)Food Science & Nutrition (2 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Na Mi
113 papers receiving 4.0k citations
Na Mi's Hit Papers
Peers
Comparison fields: 5 of 156
- Physiology 316
- Epidemiology 1.1k
- Cell Biology 504
- Water Science and Technology 349
- Environmental Chemistry 229
Countries citing papers authored by Na Mi
This map shows the geographic impact of Na Mi'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 Na Mi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Na Mi more than expected).
Fields of papers citing papers by Na Mi
This network shows the impact of papers produced by Na Mi. 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 Na Mi. The network helps show where Na Mi may publish in the future.
Co-authors
The 25 scholars most cited alongside Na Mi, 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Termination of autophagy and reformation of lysosomes regulated by mTOR Hit paper breakdown → | 2010 | 1223 |
| 2 | 2008 | 187 | |
| 3 | 2012 | 177 | |
| 4 | 2015 | 108 | |
| 5 | 2009 | 103 | |
| 6 | 2009 | 102 | |
| 7 | 2015 | 101 | |
| 8 | 2009 | 101 | |
| 9 | 2015 | 99 | |
| 10 | 2021 | 89 | |
| 11 | 2015 | 69 | |
| 12 | 2020 | 67 | |
| 13 | 2018 | 66 | |
| 14 | 2020 | 66 | |
| 15 | 2007 | 58 | |
| 16 | 2020 | 56 | |
| 17 | 2010 | 55 | |
| 18 | 2010 | 54 | |
| 19 | 2021 | 53 | |
| 20 | 2015 | 52 |
About Na Mi
Na Mi is a scholar working on Molecular Biology, Plant Science, Epidemiology, Ecology, Evolution, Behavior and Systematics and Atmospheric Science, having authored 121 papers that have together received 4.0k indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (12 papers), Autophagy in Disease and Therapy (9 papers), Climate change impacts on agriculture (7 papers), Synthesis and biological activity (7 papers), Per- and polyfluoroalkyl substances research (7 papers), Fungal Plant Pathogen Control (6 papers), Plant responses to elevated CO2 (5 papers) and Atmospheric chemistry and aerosols (5 papers). The work is most often cited by research in Physiology (316 citations), Epidemiology (1.1k citations), Cell Biology (504 citations), Water Science and Technology (349 citations) and Environmental Chemistry (229 citations). Na Mi has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Li Yu, Dale W. Hailey, Gonzalo A. Mardones, Michael J. Lenardo, Yueguang Rong, Ying Zhao, Christina McPhee, Fengyi Wan, Lixin Zheng and Viola Oorschot. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Water, Environmental Science & Technology, The Science of The Total Environment and Food Science & Nutrition.
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.