Ling Lu
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 10%
- Peptidase Inhibition and Analysis
- Cancer Cells and Metastasis
Papers in
- Hematology 12
- Multiple Myeloma Research and Treatments 9
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- Cell Adhesion Molecules Research 8
- Co-authors
- Claudia Fischbach (10 shared papers)J blake Bartlett (7 shared papers)Peter H Schafer (6 shared papers)George W. Muller (5 shared papers)Linghua Zhang (5 shared papers)David Stirling (4 shared papers)Sizhu Wu (8 shared papers)Lei Wu (5 shared papers)
- Journals
- Blood (4 papers)Oncology Reports (2 papers)Frontiers in Pharmacology (2 papers)Journal of Biological Chemistry (2 papers)Microvascular Research (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ling Lu
61 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 125
- Hematology 451
- Oncology 438
- Genetics 142
- Cancer Research 186
- Immunology and Allergy 66
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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 243 | |
| 2 | 2008 | 197 | |
| 3 | 2015 | 190 | |
| 4 | 2020 | 156 | |
| 5 | 2019 | 125 | |
| 6 | 2019 | 79 | |
| 7 | 2019 | 68 | |
| 8 | 2021 | 65 | |
| 9 | 2016 | 62 | |
| 10 | 2022 | 52 | |
| 11 | 2010 | 51 | |
| 12 | 2016 | 50 | |
| 13 | 2021 | 48 | |
| 14 | 2014 | 46 | |
| 15 | 2020 | 42 | |
| 16 | 2020 | 34 | |
| 17 | 2014 | 33 | |
| 18 | 2022 | 33 | |
| 19 | 2019 | 26 | |
| 20 | 2018 | 26 |
About Ling Lu
Ling Lu is a scholar working on Hematology, Immunology and Allergy, Oncology, Cell Biology and Molecular Biology, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (9 papers), Multiple Myeloma Research and Treatments (9 papers), Cell Adhesion Molecules Research (8 papers), Cellular Mechanics and Interactions (6 papers), Cancer Cells and Metastasis (5 papers), Free Radicals and Antioxidants (4 papers), Ubiquitin and proteasome pathways (3 papers) and Polymer Nanocomposites and Properties (3 papers). The work is most often cited by research in Hematology (451 citations), Oncology (438 citations), Genetics (142 citations), Cancer Research (186 citations) and Immunology and Allergy (66 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 H Schafer, George W. Muller, Linghua Zhang, David Stirling, Sizhu Wu, Lei Wu, Xiuying Zhao and Angus George Dalgleish. Their work appears in journals such as Blood, Oncology Reports, Frontiers in Pharmacology, Journal of Biological Chemistry and Microvascular Research.
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.