Dan Lu

2.7k total citations · 1 hit paper
63 papers, 1.9k citations indexed

About

Dan Lu is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Dan Lu has authored 63 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Oncology, 31 papers in Radiology, Nuclear Medicine and Imaging and 22 papers in Molecular Biology. Recurrent topics in Dan Lu's work include Monoclonal and Polyclonal Antibodies Research (31 papers), HER2/EGFR in Cancer Research (24 papers) and Glycosylation and Glycoproteins Research (7 papers). Dan Lu is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (31 papers), HER2/EGFR in Cancer Research (24 papers) and Glycosylation and Glycoproteins Research (7 papers). Dan Lu collaborates with scholars based in United States, China and France. Dan Lu's co-authors include Zhenping Zhu, Peter Böhlen, Sandhya Girish, Larry Witte, Xenia Jimenez, Amita Joshi, Haifan Zhang, Manish Gupta, Daniel J. Hicklin and Ian E. Krop and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Dan Lu

62 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Understanding the impact of cultivated land-use changes on China's grain production potential and policy implications: A perspective of non-agriculturalization, non-grainization, and marginalization

2024 46 citations Dan Lu, Kangchuan Su et al. Journal of Cleaner Production profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dan Lu United States	26	826	810	778	212	127	63	1.9k
Steven W. Martin United States	27	351 0.4×	1.1k 1.3×	1.1k 1.4×	352 1.7×	68 0.5×	106	3.0k
Tsutomu Shimura Japan	31	415 0.5×	439 0.5×	1.3k 1.7×	88 0.4×	108 0.9×	72	2.1k
Ki Moon Seong South Korea	21	244 0.3×	267 0.3×	842 1.1×	156 0.7×	36 0.3×	62	1.5k
Toshio Seyama Japan	24	277 0.3×	717 0.9×	1.1k 1.4×	187 0.9×	35 0.3×	86	2.1k
Diane Wang United States	25	111 0.1×	662 0.8×	728 0.9×	136 0.6×	100 0.8×	102	2.2k
Peng Xie China	25	326 0.4×	400 0.5×	577 0.7×	81 0.4×	35 0.3×	133	1.8k
Hiroshi Tanooka Japan	23	434 0.5×	404 0.5×	1.4k 1.8×	81 0.4×	67 0.5×	92	2.4k
Gabriel E. Pantelias Greece	30	474 0.6×	402 0.5×	1.9k 2.5×	54 0.3×	41 0.3×	80	2.6k
Stephen O. Brennan New Zealand	28	135 0.2×	380 0.5×	1.1k 1.4×	273 1.3×	39 0.3×	89	2.4k
Herbert Braselmann Germany	36	756 0.9×	581 0.7×	1.9k 2.4×	93 0.4×	144 1.1×	108	3.4k

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-authorship network of co-authors of Dan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Lu. A scholar is included among the top collaborators of Dan Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Lu. Dan Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Zhou, Yajuan, et al.. (2025). Impact of cropland use transformation on ecosystem carbon sinks in a typical agroforestry mixed region: An analysis from explicit and implicit perspectives. Environmental Impact Assessment Review. 115. 107979–107979. 5 indexed citations

Wei, Zhen, et al.. (2025). Uncovering the mechanistic basis of Rheum palmatum L. (rhubarb) in the treatment of chronic kidney disease: an integrative approach using network pharmacology, molecular docking, and experimental validation. Pharmaceutical Biology. 63(1). 582–606.

Lu, Dan, et al.. (2024). Patterns and drivers of terrace abandonment in China: Monitoring based on multi-source remote sensing data. Land Use Policy. 148. 107388–107388. 11 indexed citations

Lu, Dan, et al.. (2024). Understanding the impact of cultivated land-use changes on China's grain production potential and policy implications: A perspective of non-agriculturalization, non-grainization, and marginalization. Journal of Cleaner Production. 436. 140647–140647. 46 indexed citations breakdown →

Lu, Dan, et al.. (2023). Evaluation of the efficiency and drivers of complemented cropland in Southwest China over the past 30 years from the perspective of cropland abandonment. Journal of Environmental Management. 351. 119909–119909. 21 indexed citations

Lu, Dan, et al.. (2021). Effect of Enzymatic Hydrolysis on the Zinc Binding Capacity and in vitro Gastrointestinal Stability of Peptides Derived From Pumpkin (Cucurbita pepo L.) Seeds. Frontiers in Nutrition. 8. 647782–647782. 31 indexed citations

Wang, Dayong, Yage Chen, Shiyu Liu, et al.. (2019). PEST-containing nuclear protein regulates cell proliferation, migration, and invasion in lung adenocarcinoma. Oncogenesis. 8(3). 22–22. 20 indexed citations

Zhang, Guoyu, Dan Lu, Shaofeng Duan, et al.. (2018). Hydrogen Sulfide Alleviates Lipopolysaccharide‐Induced Diaphragm Dysfunction in Rats by Reducing Apoptosis and Inflammation through ROS/MAPK and TLR4/NF‐κB Signaling Pathways. Oxidative Medicine and Cellular Longevity. 2018(1). 9647809–9647809. 49 indexed citations

Chen, Yuan, Divya Samineni, Sophie Mukadam, et al.. (2014). Physiologically Based Pharmacokinetic Modeling as a Tool to Predict Drug Interactions for Antibody-Drug Conjugates. Clinical Pharmacokinetics. 54(1). 81–93. 32 indexed citations

10.

Girish, Sandhya, Manish Gupta, Bei Wang, et al.. (2012). Clinical pharmacology of trastuzumab emtansine (T-DM1): an antibody–drug conjugate in development for the treatment of HER2-positive cancer. Cancer Chemotherapy and Pharmacology. 69(5). 1229–1240. 198 indexed citations

11.

Lu, Dan, Howard A. Burris, Bei Wang, et al.. (2012). Drug Interaction Potential of Trastuzumab Emtansine (T-DM1) Combined with Pertuzumab in Patients With HER2-Positive Metastatic Breast Cancer. Current Drug Metabolism. 13(7). 911–922. 30 indexed citations

12.

Bai, Shuang, Karin Jorga, Xin Yan, et al.. (2012). A Guide to Rational Dosing of Monoclonal Antibodies. Clinical Pharmacokinetics. 51(2). 119–135. 127 indexed citations

13.

Kamath, Amrita V., Dan Lu, Priyanka Gupta, et al.. (2011). Preclinical pharmacokinetics of MFGR1877A, a human monoclonal antibody to FGFR3, and prediction of its efficacious clinical dose for the treatment of t(4;14)-positive multiple myeloma. Cancer Chemotherapy and Pharmacology. 69(4). 1071–1078. 21 indexed citations

14.

Kamath, Amrita V., Dan Lu, Priyanka Gupta, et al.. (2011). Preclinical pharmacokinetics of MEHD7945A, a novel EGFR/HER3 dual-action antibody, and prediction of its human pharmacokinetics and efficacious clinical dose. Cancer Chemotherapy and Pharmacology. 69(4). 1063–1069. 32 indexed citations

15.

Lu, Dan & Zhenping Zhu. (2008). Construction and Production of an IgG-Like Tetravalent Bispecific Antibody for Enhanced Therapeutic Efficacy. Methods in molecular biology. 525. 377–404. 6 indexed citations

16.

Liu, Jihua, Dan Lu, Jinping Liu, & Pingya Li. (2005). [Distribution and pharmacokinetics of 20S-ginsenoside Rg3 eyeointment in rabbit eye].. PubMed. 40(3). 258–61. 1 indexed citations

17.

Lu, Dan, Haifan Zhang, Henry Koo, et al.. (2005). A Fully Human Recombinant IgG-like Bispecific Antibody to Both the Epidermal Growth Factor Receptor and the Insulin-like Growth Factor Receptor for Enhanced Antitumor Activity. Journal of Biological Chemistry. 280(20). 19665–19672. 146 indexed citations

18.

Lu, Dan, Haifan Zhang, Dale L. Ludwig, et al.. (2004). Simultaneous Blockade of Both the Epidermal Growth Factor Receptor and the Insulin-like Growth Factor Receptor Signaling Pathways in Cancer Cells with a Fully Human Recombinant Bispecific Antibody. Journal of Biological Chemistry. 279(4). 2856–2865. 98 indexed citations

19.

Lu, Dan, Xenia Jimenez, Haifan Zhang, et al.. (2003). Di-diabody: a novel tetravalent bispecific antibody molecule by design. Journal of Immunological Methods. 279(1-2). 219–232. 31 indexed citations

20.

Lu, Dan, Xenia Jimenez, Haifan Zhang, et al.. (2002). Fab-scFv fusion protein: an efficient approach to production of bispecific antibody fragments. Journal of Immunological Methods. 267(2). 213–226. 27 indexed citations

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.

Explore authors with similar magnitude of impact