Min Ni
- Plant Science top 0.5%
- Plant Molecular Biology Research 31
- Light effects on plants 20
- Plant nutrient uptake and metabolism 9
- Molecular Biology top 2%
- Photosynthetic Processes and Mechanisms 19
- Insect Resistance and Genetics 13
- Fungal and yeast genetics research 9
- Pharmacology top 1%
- Insect Science top 1%
- Cell Biology top 2%
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- Wastewater Treatment and Nitrogen Removal 15
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- Neurobiology and Insect Physiology Research 9
- Co-authors
- Peter H. QuailJames M. TeppermanJae‐Hyuk YuXiaojun KangJoseph HeitmanGerhard H. BrausÖzgür BayramOliver Valerius
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Min Ni
114 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Plant Science 3.7k
- Molecular Biology 3.3k
- Pharmacology 785
- Insect Science 482
- Cell Biology 599
Countries citing papers authored by Min Ni
This map shows the geographic impact of Min Ni'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 Min Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Ni more than expected).
Fields of papers citing papers by Min Ni
This network shows the impact of papers produced by Min Ni. 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 Min Ni. The network helps show where Min Ni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Min Ni, 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 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 17 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 12 | |
| 7 | 2023 | 14 | |
| 8 | 2019 | 53 | |
| 9 | 2017 | 21 | |
| 10 | 2015 | 11 | |
| 11 | 2015 | 20 | |
| 12 | 2015 | 48 | |
| 13 | 2015 | 96 | |
| 14 | Study on SNPs of the FSHβ Gene and its Association with Litter Sizes of Tianfu Goat | 2010 | 1 |
| 15 | 2010 | 102 | |
| 16 | 2009 | 19 | |
| 17 | VelB/VeA/LaeA Complex Coordinates Light Signal with Fungal Development and Secondary Metabolismbreakdown → | 2008 | 698 |
| 18 | 2007 | 14 | |
| 19 | 2006 | 69 | |
| 20 | 1999 | 372 |
About Min Ni
Min Ni is a scholar working on Pollution, Plant Science, Insect Science, Industrial and Manufacturing Engineering and Molecular Biology, having authored 117 papers that have together received 5.8k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (31 papers), Light effects on plants (20 papers), Photosynthetic Processes and Mechanisms (19 papers), Wastewater Treatment and Nitrogen Removal (15 papers), Insect Resistance and Genetics (13 papers), Neurobiology and Insect Physiology Research (9 papers), Fungal and yeast genetics research (9 papers) and Plant nutrient uptake and metabolism (9 papers). The work is most often cited by research in Plant Science (3.7k citations), Molecular Biology (3.3k citations), Pharmacology (785 citations), Insect Science (482 citations) and Cell Biology (599 citations). Min Ni has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Peter H. Quail, James M. Tepperman, Jae‐Hyuk Yu, Xiaojun Kang, Joseph Heitman, Gerhard H. Braus, Özgür Bayram, Oliver Valerius, Yun Zhou and Nak‐Jung Kwon. Their work appears in journals such as The Plant Cell, PLoS ONE, Biological Trace Element Research, Pesticide Biochemistry and Physiology and Molecular Plant.
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.