Kan Lu
Impact in
- Genetics top 1%
- Glioma Diagnosis and Treatment
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
-
- Angiogenesis and VEGF in Cancer 5
- Oncology 6
- Co-authors
- Gabriele Bergers (7 shared papers)Scott R. VandenBerg (3 shared papers)Timothy F. Cloughesy (6 shared papers)Paul S. Mischel (6 shared papers)Ruth Ganß (2 shared papers)Rose Du (2 shared papers)Claudia Petritsch (2 shared papers)Zena Werb (1 shared paper)
- Journals
- Cancer Research (2 papers)Cancer Cell (2 papers)Biochemical and Biophysical Research Communications (2 papers)CrystEngComm (2 papers)Laboratory Investigation (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Kan Lu
36 papers receiving 3.5k citations
Kan Lu's Hit Papers
Peers
Comparison fields: 5 of 124
- Genetics 727
- Cancer Research 981
- Oncology 793
- Immunology 519
- Molecular Biology 1.7k
Countries citing papers authored by Kan Lu
This map shows the geographic impact of Kan 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 Kan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kan Lu more than expected).
Fields of papers citing papers by Kan Lu
This network shows the impact of papers produced by Kan 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 Kan Lu. The network helps show where Kan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | HIF1α Induces the Recruitment of Bone Marrow-Derived Vascular Modulatory Cells to Regulate Tumor Angiogenesis and Invasion Hit paper breakdown → | 2008 | 961 |
| 2 | Analysis of oncogenic signaling networks in glioblastoma identifies ASPM as a molecular target Hit paper breakdown → | 2006 | 510 |
| 3 | 2012 | 441 | |
| 4 | 2003 | 225 | |
| 5 | 2006 | 191 | |
| 6 | 2013 | 168 | |
| 7 | 2012 | 115 | |
| 8 | 2005 | 110 | |
| 9 | 2013 | 108 | |
| 10 | 2003 | 106 | |
| 11 | 2008 | 104 | |
| 12 | 2017 | 65 | |
| 13 | 2002 | 58 | |
| 14 | 2018 | 53 | |
| 15 | 1998 | 49 | |
| 16 | 2011 | 45 | |
| 17 | 2008 | 44 | |
| 18 | 2003 | 40 | |
| 19 | 2017 | 34 | |
| 20 | 2019 | 34 |
About Kan Lu
Kan Lu is a scholar working on Molecular Biology, Oncology, Cancer Research, Materials Chemistry and Immunology and Allergy, having authored 38 papers that have together received 3.6k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (5 papers), Cell Adhesion Molecules Research (5 papers), Luminescence Properties of Advanced Materials (4 papers), Solid State Laser Technologies (4 papers), Protease and Inhibitor Mechanisms (3 papers), Glioma Diagnosis and Treatment (3 papers), Chronic Kidney Disease and Diabetes (2 papers) and Renal Transplantation Outcomes and Treatments (2 papers). The work is most often cited by research in Genetics (727 citations), Cancer Research (981 citations), Oncology (793 citations), Immunology (519 citations) and Molecular Biology (1.7k citations). Kan Lu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Gabriele Bergers, Scott R. VandenBerg, Timothy F. Cloughesy, Paul S. Mischel, Ruth Ganß, Rose Du, Claudia Petritsch, Zena Werb, Randall S. Johnson and Emmanuelle Passegué. Their work appears in journals such as Cancer Research, Cancer Cell, Biochemical and Biophysical Research Communications, CrystEngComm and Laboratory Investigation.
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.