Jim Lu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
Papers in
-
- Circular RNAs in diseases 7
- RNA Research and Splicing 4
-
- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 10
- Co-authors
- Aifang Zhong (14 shared papers)Li-Yi Zhang (13 shared papers)Wei Niu (11 shared papers)Xinyang Sun (8 shared papers)Wanshuai Li (10 shared papers)Lin Zhao (6 shared papers)Huimin Fan (7 shared papers)Mingjun He (8 shared papers)
- Journals
- The Prostate (3 papers)Journal of Psychiatric Research (2 papers)American Journal of Medical Genetics Part B Neuropsychiatric Genetics (2 papers)Biomarkers in Medicine (2 papers)Gastroenterology (1 paper)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Jim Lu
26 papers receiving 890 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 542
- Biological Psychiatry 88
- Developmental Neuroscience 55
- Behavioral Neuroscience 34
- Molecular Biology 637
Countries citing papers authored by Jim Lu
This map shows the geographic impact of Jim Lu'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 Jim Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jim Lu more than expected).
Fields of papers citing papers by Jim Lu
This network shows the impact of papers produced by Jim Lu. 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 Jim Lu. The network helps show where Jim Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jim Lu, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 116 | |
| 2 | 2015 | 113 | |
| 3 | 2014 | 108 | |
| 4 | 2014 | 85 | |
| 5 | 2014 | 75 | |
| 6 | 2015 | 71 | |
| 7 | 2015 | 65 | |
| 8 | 2016 | 42 | |
| 9 | 2015 | 34 | |
| 10 | 2017 | 32 | |
| 11 | 2016 | 29 | |
| 12 | 2016 | 21 | |
| 13 | 2017 | 18 | |
| 14 | 2022 | 13 | |
| 15 | 2017 | 11 | |
| 16 | 2005 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2017 | 10 | |
| 19 | 2011 | 10 | |
| 20 | 2014 | 10 |
About Jim Lu
Jim Lu is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Epidemiology and Oncology, having authored 27 papers that have together received 907 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (10 papers), Circular RNAs in diseases (7 papers), RNA Research and Splicing (4 papers), Prostate Cancer Treatment and Research (4 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Diet, Metabolism, and Disease (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (542 citations), Biological Psychiatry (88 citations), Developmental Neuroscience (55 citations), Behavioral Neuroscience (34 citations) and Molecular Biology (637 citations). Jim Lu has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Aifang Zhong, Li-Yi Zhang, Wei Niu, Xinyang Sun, Wanshuai Li, Lin Zhao, Huimin Fan, Mingjun He, Shengdong Chen and Zhongmin Guo. Their work appears in journals such as The Prostate, Journal of Psychiatric Research, American Journal of Medical Genetics Part B Neuropsychiatric Genetics, Biomarkers in Medicine and Gastroenterology.
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.