Lu He
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
-
- Hearing, Cochlea, Tinnitus, Genetics 11
-
- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 4
- Co-authors
- Michael Vincent Swain (1 shared paper)Jian Hong (11 shared papers)Nianzong Hou (2 shared papers)Yong Yu (1 shared paper)Mingzhe Li (1 shared paper)Bing Xie (1 shared paper)Lin Wang (1 shared paper)Xiaodong Sun (1 shared paper)
- Journals
- Neuroscience (3 papers)Cell Death and Disease (3 papers)Journal of Cellular and Molecular Medicine (2 papers)Journal of Visualized Experiments (2 papers)Medical Oncology (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Lu He
92 papers receiving 2.4k citations
Lu He's Hit Papers
Peers
Comparison fields: 5 of 159
- Cancer Research 262
- Sensory Systems 78
- Orthodontics 65
- Hepatology 91
- Molecular Biology 734
Countries citing papers authored by Lu He
This map shows the geographic impact of Lu He'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 He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu He more than expected).
Fields of papers citing papers by Lu He
This network shows the impact of papers produced by Lu He. 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 He. The network helps show where Lu He may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu He, 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 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost Hit paper breakdown → | 2020 | 375 |
| 2 | 2022 | 112 | |
| 3 | 2019 | 100 | |
| 4 | 2007 | 94 | |
| 5 | 2018 | 85 | |
| 6 | 2013 | 83 | |
| 7 | 2013 | 81 | |
| 8 | 2018 | 76 | |
| 9 | 2018 | 62 | |
| 10 | 2021 | 61 | |
| 11 | 2020 | 59 | |
| 12 | 2008 | 56 | |
| 13 | 2019 | 54 | |
| 14 | 2008 | 53 | |
| 15 | 2019 | 52 | |
| 16 | 2018 | 51 | |
| 17 | 2013 | 43 | |
| 18 | 2020 | 36 | |
| 19 | 2018 | 36 | |
| 20 | 2016 | 34 |
About Lu He
Lu He is a scholar working on Sensory Systems, Cancer Research, Neurology, Molecular Biology and Otorhinolaryngology, having authored 95 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hearing, Cochlea, Tinnitus, Genetics (11 papers), Advancements in Battery Materials (6 papers), Advanced Battery Materials and Technologies (5 papers), Cancer-related molecular mechanisms research (5 papers), Advanced Battery Technologies Research (5 papers), RNA Research and Splicing (5 papers), Liver physiology and pathology (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (262 citations), Sensory Systems (78 citations), Orthodontics (65 citations), Hepatology (91 citations) and Molecular Biology (734 citations). Lu He has collaborated with scholars based in China, United States and France. Frequent co-authors include Michael Vincent Swain, Jian Hong, Nianzong Hou, Yong Yu, Mingzhe Li, Bing Xie, Lin Wang, Xiaodong Sun, Kai Wang and Rumin Zhang. Their work appears in journals such as Neuroscience, Cell Death and Disease, Journal of Cellular and Molecular Medicine, Journal of Visualized Experiments and Medical Oncology.
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.