Dan Lu
Impact in
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- Growth Hormone and Insulin-like Growth Factors
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- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 4
- CAR-T cell therapy research 2
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- Glycosylation and Glycoproteins Research 3
- Angiogenesis and VEGF in Cancer 2
- Co-authors
- Zhenping Zhu (5 shared papers)Dale L. Ludwig (4 shared papers)Xenia Jimenez (3 shared papers)Larry Witte (3 shared papers)Daniel J. Hicklin (3 shared papers)Rajiv Bassi (3 shared papers)Marie C. Prewett (2 shared papers)DANIEL SANTIAGO PEREIRA (2 shared papers)
- Journals
- Blood (1 paper)Bioconjugate Chemistry (1 paper)International Journal of Biological Sciences (1 paper)Journal of Virology (1 paper)Molecular Therapy (1 paper)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Dan Lu
14 papers receiving 689 citations
Peers
Comparison fields: 5 of 60
- Endocrinology, Diabetes and Metabolism 174
- Cancer Research 122
- Hepatology 63
- Oncology 176
- Molecular Biology 429
Countries citing papers authored by Dan Lu
This map shows the geographic impact of Dan 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 Dan Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Lu more than expected).
Fields of papers citing papers by Dan Lu
This network shows the impact of papers produced by Dan 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 Dan Lu. The network helps show where Dan Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan 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
| # | Work | ||
|---|---|---|---|
| 1 | A fully human monoclonal antibody to the insulin-like growth factor I receptor blocks ligand-dependent signaling and inhibits human tumor growth in vivo. | 2003 | 315 |
| 2 | 2006 | 105 | |
| 3 | 2006 | 82 | |
| 4 | 2005 | 56 | |
| 5 | 2004 | 43 | |
| 6 | 2018 | 35 | |
| 7 | 2009 | 33 | |
| 8 | 2012 | 33 | |
| 9 | 2022 | 11 | |
| 10 | 2013 | 10 | |
| 11 | 2020 | 6 | |
| 12 | 2017 | 4 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 1 |
About Dan Lu
Dan Lu is a scholar working on Oncology, Molecular Biology, Immunology, Genetics and Epidemiology, having authored 14 papers that have together received 735 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (3 papers), CAR-T cell therapy research (2 papers), Hepatitis B Virus Studies (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Immune Cell Function and Interaction (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Silicon Carbide Semiconductor Technologies (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (174 citations), Cancer Research (122 citations), Hepatology (63 citations), Oncology (176 citations) and Molecular Biology (429 citations). Dan Lu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Zhenping Zhu, Dale L. Ludwig, Xenia Jimenez, Larry Witte, Daniel J. Hicklin, Rajiv Bassi, Marie C. Prewett, DANIEL SANTIAGO PEREIRA, Peter Böhlen and Paul H. Kussie. Their work appears in journals such as Blood, Bioconjugate Chemistry, International Journal of Biological Sciences, Journal of Virology and Molecular Therapy.
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.