Dan Lu

50 papers receiving 2k citations

Peers

Dan Lu
Comparison fields: 5 of 101
  • Radiology, Nuclear Medicine and Imaging 725
  • Oncology 382
  • Pediatrics, Perinatology and Child Health 142
  • Statistics and Probability 86
  • Immunology 125
Replace Árpád Illés with:
Árpád Illés Hungary
Suhasini Iyer United States
Rakesh Popat United Kingdom
Julie M. Bullock United States
Thomas S. Lin United States
W. David McGuinn United States
Changxi Wang China
Ying Qiang Guo China
Sriram Subramaniam United States
Dan Lu relative to Árpád Illés Hungary Árpád Illés's profile →
Citations per field
00.5×2×3.5×
Árpád Illés · 1×
Citations per year

Countries citing papers authored by Dan Lu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dan Lu Line = papers co-authored together Dan Lu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012219
2 2005163
3 2012135
4 2004113
5 2021111
6 2005103
7
Inhibition of vascular endothelial growth factor-induced receptor activation with anti-kinase insert domain-containing receptor single-chain antibodies from a phage display library.
199896
8 201474
9 202462
10 202161
11 200457
12 201954
13 202152
14 201451
15 199945
16
Complete inhibition of vascular endothelial growth factor (VEGF) activities with a bifunctional diabody directed against both VEGF kinase receptors, fms-like tyrosine kinase receptor and kinase insert domain-containing receptor.
200145
17 201145
18 201645
19 201441
20 200336

About Dan Lu

Dan Lu is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology, Pediatrics, Perinatology and Child Health, Pharmacology and Pathology and Forensic Medicine, having authored 50 papers that have together received 2.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (18 papers), HER2/EGFR in Cancer Research (11 papers), Pharmaceutical studies and practices (5 papers), Angiogenesis and VEGF in Cancer (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Cancer Treatment and Pharmacology (3 papers), Protein Hydrolysis and Bioactive Peptides (3 papers) and Environmental Changes in China (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (725 citations), Oncology (382 citations), Pediatrics, Perinatology and Child Health (142 citations), Statistics and Probability (86 citations) and Immunology (125 citations). Dan Lu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Zhenping Zhu, Peter Böhlen, Sandhya Girish, Larry Witte, Xenia Jimenez, Amita Joshi, Haifan Zhang, Joo‐Hee Yi, Manish Gupta and Chunze Li. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Clinical Pharmacokinetics, Blood, CPT Pharmacometrics & Systems Pharmacology and Journal of Biological Chemistry.

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.

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