Lu Gan
- Molecular Biology top 10%
- Plant Science top 5%
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 5%
- Surgery
- Co-authors
- Michael R. HaydenMartina MetzlerPeter S. McPhersonJacynthe PhilieValérie Legendre‐GuilleminRoshni R. SingarajaJing MaCuiyun Li
- Topics
- Chromosomal and Genetic Variations (6 papers)Genetic Neurodegenerative Diseases (4 papers)Plant Surface Properties and Treatments (4 papers)
- Cited by
- Cell BiologyPhysical Therapy, Sports Therapy and RehabilitationCellular and Molecular Neuroscience
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lu Gan
65 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Molecular Biology 890
- Plant Science 419
- Cellular and Molecular Neuroscience 257
- Cell Biology 254
- Surgery 197
Countries citing papers authored by Lu Gan
This map shows the geographic impact of Lu Gan'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 Lu Gan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Gan more than expected).
Fields of papers citing papers by Lu Gan
This network shows the impact of papers produced by Lu Gan. 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 Lu Gan. The network helps show where Lu Gan may publish in the future.
Co-authorship network of co-authors of Lu Gan
This figure shows the co-authorship network connecting the top 25 collaborators of Lu Gan. A scholar is included among the top collaborators of Lu Gan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lu Gan. Lu Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 13 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 21 | |
| 13 | 15 | |
| 14 | 22 | |
| 15 | 16 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 29 | |
| 19 | The effect of genome duplication on seed germination and seedling growth of rice under salt stress | 18 |
| 20 | 86 |
About Lu Gan
Lu Gan is a scholar working on Biochemistry, Plant Science and Molecular Biology, having authored 71 papers that have together received 2.0k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (6 papers), Genetic Neurodegenerative Diseases (4 papers) and Plant Surface Properties and Treatments (4 papers). The work is most often cited by research in Cell Biology (254 citations), Physical Therapy, Sports Therapy and Rehabilitation (63 citations) and Cellular and Molecular Neuroscience (257 citations). Lu Gan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Michael R. Hayden, Martina Metzler, Peter S. McPherson, Jacynthe Philie, Valérie Legendre‐Guillemin, Roshni R. Singaraja, Jing Ma, Cuiyun Li, Xiaoying Shang and Jiayu Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.