Fulei Nie
Impact in
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- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Plant Gene Expression Analysis
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- Plant Molecular Biology Research
Papers in
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- RNA and protein synthesis mechanisms 8
- Machine Learning in Bioinformatics 5
- Genomics and Phylogenetic Studies 5
- RNA modifications and cancer 4
- vaccines and immunoinformatics approaches 3
- Photosynthetic Processes and Mechanisms 2
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- Plant Molecular Biology Research 2
- Co-authors
- Wei Chen (12 shared papers)Hao Lin (2 shared papers)Hao Lv (1 shared paper)Qiang Tang (8 shared papers)Pengmian Feng (3 shared papers)Xiaoming Song (7 shared papers)Juanjuan Kang (3 shared papers)Qi Zhao (2 shared papers)
- Journals
- Horticulture Research (3 papers)Computational and Structural Biotechnology Journal (2 papers)Briefings in Bioinformatics (2 papers)Molecular Therapy (1 paper)Methods (1 paper)
- Partner nations
- ChinaDenmarkUnited States
In The Last Decade
Fulei Nie
17 papers receiving 610 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 515
- Plant Science 154
- Computational Theory and Mathematics 57
- Cancer Research 49
- Microbiology 16
Countries citing papers authored by Fulei Nie
This map shows the geographic impact of Fulei Nie'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 Fulei Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fulei Nie more than expected).
Fields of papers citing papers by Fulei Nie
This network shows the impact of papers produced by Fulei Nie. 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 Fulei Nie. The network helps show where Fulei Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Fulei Nie, 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 | 2019 | 173 | |
| 2 | 2021 | 92 | |
| 3 | 2022 | 49 | |
| 4 | 2021 | 46 | |
| 5 | 2019 | 42 | |
| 6 | 2020 | 36 | |
| 7 | 2013 | 36 | |
| 8 | 2024 | 21 | |
| 9 | 2022 | 19 | |
| 10 | 2020 | 19 | |
| 11 | 2015 | 16 | |
| 12 | 2024 | 16 | |
| 13 | 2022 | 12 | |
| 14 | 2022 | 11 | |
| 15 | 2019 | 11 | |
| 16 | 2020 | 10 | |
| 17 | 2021 | 6 | |
| 18 | 2021 | 0 |
About Fulei Nie
Fulei Nie is a scholar working on Molecular Biology, Plant Science, Cancer Research, Radiology, Nuclear Medicine and Imaging and Ecology, having authored 18 papers that have together received 615 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Machine Learning in Bioinformatics (5 papers), Genomics and Phylogenetic Studies (5 papers), RNA modifications and cancer (4 papers), vaccines and immunoinformatics approaches (3 papers), Cancer-related molecular mechanisms research (3 papers), Plant Molecular Biology Research (2 papers) and Photosynthetic Processes and Mechanisms (2 papers). The work is most often cited by research in Molecular Biology (515 citations), Plant Science (154 citations), Computational Theory and Mathematics (57 citations), Cancer Research (49 citations) and Microbiology (16 citations). Fulei Nie has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Wei Chen, Hao Lin, Hao Lv, Qiang Tang, Pengmian Feng, Xiaoming Song, Juanjuan Kang, Qi Zhao, Tong Yu and Jian Huang. Their work appears in journals such as Horticulture Research, Computational and Structural Biotechnology Journal, Briefings in Bioinformatics, Molecular Therapy and Methods.
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.