Kan V. Lu
Impact in
- Genetics top 0.5%
- Glioma Diagnosis and Treatment
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
Papers in
-
- Cell Adhesion Molecules Research 5
-
- Cancer, Hypoxia, and Metabolism 3
- Protease and Inhibitor Mechanisms 3
- Co-authors
- Gabriele Bergers (7 shared papers)Scott R. VandenBerg (3 shared papers)Paul S. Mischel (6 shared papers)Timothy Francis Cloughesy (6 shared papers)Ruth Ganß (2 shared papers)Rose Du (2 shared papers)Claudia Katharina Petritsch (2 shared papers)Zena Werb (1 shared paper)
- Journals
- Journal of Stroke and Cerebrovascular Diseases (3 papers)Cancer Research (3 papers)Laboratory Investigation (2 papers)CrystEngComm (2 papers)Cancer Cell (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Kan V. Lu
45 papers receiving 5.3k citations
Kan V. Lu's Hit Papers
Peers
Comparison fields: 5 of 133
- Genetics 1.4k
- Cancer Research 1.4k
- Oncology 1.2k
- Molecular Biology 2.4k
- Hepatology 233
Countries citing papers authored by Kan V. Lu
This map shows the geographic impact of Kan V. 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 V. 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 V. Lu more than expected).
Fields of papers citing papers by Kan V. Lu
This network shows the impact of papers produced by Kan V. 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 V. Lu. The network helps show where Kan V. Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Kan V. 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Molecular Determinants of the Response of Glioblastomas to EGFR Kinase Inhibitors Hit paper breakdown → | 2005 | 1193 |
| 2 | HIF1α Induces the Recruitment of Bone Marrow-Derived Vascular Modulatory Cells to Regulate Tumor Angiogenesis and Invasion Hit paper breakdown → | 2008 | 979 |
| 3 | 2006 | 522 | |
| 4 | 2012 | 473 | |
| 5 | 2003 | 223 | |
| 6 | 2006 | 202 | |
| 7 | 2015 | 189 | |
| 8 | 2013 | 180 | |
| 9 | 2009 | 133 | |
| 10 | 2012 | 118 | |
| 11 | 2018 | 118 | |
| 12 | 2013 | 116 | |
| 13 | 2005 | 108 | |
| 14 | 2003 | 107 | |
| 15 | 2008 | 106 | |
| 16 | 2015 | 78 | |
| 17 | 2017 | 70 | |
| 18 | 2002 | 58 | |
| 19 | 2018 | 53 | |
| 20 | 1998 | 49 |
About Kan V. Lu
Kan V. Lu is a scholar working on Immunology and Allergy, Cancer Research, Oncology, Genetics and Nephrology, having authored 46 papers that have together received 5.5k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (5 papers), Angiogenesis and VEGF in Cancer (5 papers), Luminescence Properties of Advanced Materials (4 papers), Glioma Diagnosis and Treatment (4 papers), Solid State Laser Technologies (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Protease and Inhibitor Mechanisms (3 papers). The work is most often cited by research in Genetics (1.4k citations), Cancer Research (1.4k citations), Oncology (1.2k citations), Molecular Biology (2.4k citations) and Hepatology (233 citations). Kan V. Lu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Gabriele Bergers, Scott R. VandenBerg, Paul S. Mischel, Timothy Francis Cloughesy, Ruth Ganß, Rose Du, Claudia Katharina Petritsch, Zena Werb, Emmanuelle A. Passegue and Randall S. Johnson. Their work appears in journals such as Journal of Stroke and Cerebrovascular Diseases, Cancer Research, Laboratory Investigation, CrystEngComm and Cancer Cell.
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.