Ling Lu
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
Papers in
-
- Protein Degradation and Inhibitors 12
- Oncology 17
- Cancer Cells and Metastasis 6
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Claudia Fischbach (10 shared papers)J. Blake Bartlett (7 shared papers)Peter Schäfer (6 shared papers)Linghua Zhang (5 shared papers)George W. Muller (5 shared papers)David Stirling (4 shared papers)Lei Wu (5 shared papers)Sizhu Wu (8 shared papers)
- Journals
- Blood (6 papers)Annals of Translational Medicine (2 papers)Journal of Biological Chemistry (2 papers)Microvascular Research (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ling Lu
64 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 129
- Hematology 471
- Oncology 503
- Cancer Research 213
- Genetics 146
- Molecular Biology 823
Countries citing papers authored by Ling Lu
This map shows the geographic impact of Ling 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 Ling Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Lu more than expected).
Fields of papers citing papers by Ling Lu
This network shows the impact of papers produced by Ling 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 Ling Lu. The network helps show where Ling Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 225 | |
| 2 | 2008 | 183 | |
| 3 | 2015 | 154 | |
| 4 | 2020 | 137 | |
| 5 | 2019 | 113 | |
| 6 | 2019 | 64 | |
| 7 | 2019 | 62 | |
| 8 | 2021 | 58 | |
| 9 | 2016 | 57 | |
| 10 | 2010 | 48 | |
| 11 | 2022 | 46 | |
| 12 | 2014 | 44 | |
| 13 | 2021 | 42 | |
| 14 | 2016 | 40 | |
| 15 | 2020 | 39 | |
| 16 | 2014 | 31 | |
| 17 | 2020 | 29 | |
| 18 | 2019 | 25 | |
| 19 | 2018 | 24 | |
| 20 | 2022 | 23 |
About Ling Lu
Ling Lu is a scholar working on Molecular Biology, Oncology, Hematology, Cell Biology and Immunology and Allergy, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (12 papers), Protein Degradation and Inhibitors (12 papers), Cell Adhesion Molecules Research (8 papers), Cancer Cells and Metastasis (6 papers), Cellular Mechanics and Interactions (6 papers), Free Radicals and Antioxidants (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Polymer Nanocomposites and Properties (3 papers). The work is most often cited by research in Hematology (471 citations), Oncology (503 citations), Cancer Research (213 citations), Genetics (146 citations) and Molecular Biology (823 citations). Ling Lu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Claudia Fischbach, J. Blake Bartlett, Peter Schäfer, Linghua Zhang, George W. Muller, David Stirling, Lei Wu, Sizhu Wu, Angus Dalgleish and Xiuying Zhao. Their work appears in journals such as Blood, Annals of Translational Medicine, Journal of Biological Chemistry, Microvascular Research and Proceedings of the National Academy of Sciences.
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.