Pan Lu
Impact in
- Developmental Neuroscience top 10%
- Reproductive Medicine top 10%
- Endometriosis Research and Treatment
Papers in
-
- Natural Language Processing Techniques 4
- Topic Modeling 3
- Co-authors
- Di Wu (2 shared papers)Li Peng (1 shared paper)Wei Jiang (1 shared paper)Xue Mi (1 shared paper)Xiangwei Lv (3 shared papers)Jingzhong Ye (1 shared paper)Raza Ullah (1 shared paper)Shah Fahad (1 shared paper)
- Journals
- Medicine (2 papers)Energy (2 papers)Cellular Physiology and Biochemistry (2 papers)Journal of Rare Earths (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesThailand
In The Last Decade
Pan Lu
70 papers receiving 889 citations
Peers
Comparison fields: 5 of 163
- Developmental Neuroscience 62
- Reproductive Medicine 59
- Critical Care and Intensive Care Medicine 32
- Health Informatics 9
- Obstetrics and Gynecology 43
Countries citing papers authored by Pan Lu
This map shows the geographic impact of Pan 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 Pan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pan Lu more than expected).
Fields of papers citing papers by Pan Lu
This network shows the impact of papers produced by Pan 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 Pan Lu. The network helps show where Pan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pan 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 104 | |
| 2 | 2018 | 83 | |
| 3 | 2018 | 67 | |
| 4 | 2014 | 46 | |
| 5 | 2016 | 31 | |
| 6 | 2022 | 28 | |
| 7 | 2023 | 27 | |
| 8 | 2020 | 26 | |
| 9 | 2018 | 24 | |
| 10 | 2019 | 24 | |
| 11 | 2021 | 24 | |
| 12 | 2019 | 24 | |
| 13 | 2022 | 23 | |
| 14 | 2020 | 22 | |
| 15 | 2024 | 22 | |
| 16 | 2018 | 20 | |
| 17 | 2022 | 19 | |
| 18 | 2023 | 18 | |
| 19 | 2018 | 16 | |
| 20 | 2023 | 16 |
About Pan Lu
Pan Lu is a scholar working on Artificial Intelligence, Molecular Biology, Developmental Neuroscience, Mechanical Engineering and Cancer Research, having authored 73 papers that have together received 899 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (4 papers), Anesthesia and Neurotoxicity Research (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Topic Modeling (3 papers), Cancer-related molecular mechanisms research (3 papers), MicroRNA in disease regulation (3 papers), Autophagy in Disease and Therapy (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Developmental Neuroscience (62 citations), Reproductive Medicine (59 citations), Critical Care and Intensive Care Medicine (32 citations), Health Informatics (9 citations) and Obstetrics and Gynecology (43 citations). Pan Lu has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Di Wu, Li Peng, Wei Jiang, Xue Mi, Xiangwei Lv, Jingzhong Ye, Raza Ullah, Shah Fahad, Ashfaq Ahmad Shah and Tongtong Xu. Their work appears in journals such as Medicine, Energy, Cellular Physiology and Biochemistry, Journal of Rare Earths and Frontiers in Cellular and Infection Microbiology.
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.