Lu Gan
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Mitochondrial Function and Pathology
- Circular RNAs in diseases
Papers in
-
- Mitochondrial Function and Pathology 8
- Circular RNAs in diseases 8
-
- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 7
- Co-authors
- Jing Si (31 shared papers)Jie‐Ping Wan (2 shared papers)Yunyun Liu (2 shared papers)Chao Sun (16 shared papers)Cuixia Di (15 shared papers)Rong Zhou (14 shared papers)Aihong Mao (10 shared papers)Hong Zhang (18 shared papers)
- Journals
- Journal of Cellular Physiology (7 papers)Artificial Cells Nanomedicine and Biotechnology (3 papers)Chemical Communications (3 papers)Life Sciences (3 papers)Journal of Natural Products (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Lu Gan
139 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 157
- Cancer Research 375
- Molecular Biology 1.2k
- Biochemistry 116
- Cellular and Molecular Neuroscience 245
- Organic Chemistry 334
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-authors
The 25 scholars most cited alongside Lu Gan, 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 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 158 | |
| 2 | 2017 | 114 | |
| 3 | 2000 | 109 | |
| 4 | 2005 | 105 | |
| 5 | 2001 | 71 | |
| 6 | 2017 | 65 | |
| 7 | 2014 | 63 | |
| 8 | 2016 | 63 | |
| 9 | 2013 | 60 | |
| 10 | 2018 | 58 | |
| 11 | 2018 | 57 | |
| 12 | 2021 | 53 | |
| 13 | 2019 | 52 | |
| 14 | 2021 | 49 | |
| 15 | 2014 | 49 | |
| 16 | 2022 | 43 | |
| 17 | 2015 | 41 | |
| 18 | 2009 | 41 | |
| 19 | 2002 | 41 | |
| 20 | 2019 | 40 |
About Lu Gan
Lu Gan is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Organic Chemistry and Pulmonary and Respiratory Medicine, having authored 144 papers that have together received 2.9k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Mitochondrial Function and Pathology (8 papers), Circular RNAs in diseases (8 papers), Ophthalmology and Eye Disorders (7 papers), Cancer-related molecular mechanisms research (7 papers), Effects of Radiation Exposure (7 papers), Sulfur Compounds in Biology (6 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Cancer Research (375 citations), Molecular Biology (1.2k citations), Biochemistry (116 citations), Cellular and Molecular Neuroscience (245 citations) and Organic Chemistry (334 citations). Lu Gan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jing Si, Jie‐Ping Wan, Yunyun Liu, Chao Sun, Cuixia Di, Rong Zhou, Aihong Mao, Hong Zhang, John T. L. Thong and Qiuyue Zhao. Their work appears in journals such as Journal of Cellular Physiology, Artificial Cells Nanomedicine and Biotechnology, Chemical Communications, Life Sciences and Journal of Natural Products.
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.