Robert J. Lutz

11.1k total citations · 3 hit papers
116 papers, 8.7k citations indexed

About

Robert J. Lutz is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Robert J. Lutz has authored 116 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Radiology, Nuclear Medicine and Imaging, 44 papers in Oncology and 33 papers in Molecular Biology. Recurrent topics in Robert J. Lutz's work include Monoclonal and Polyclonal Antibodies Research (29 papers), HER2/EGFR in Cancer Research (24 papers) and Cell death mechanisms and regulation (8 papers). Robert J. Lutz is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (29 papers), HER2/EGFR in Cancer Research (24 papers) and Cell death mechanisms and regulation (8 papers). Robert J. Lutz collaborates with scholars based in United States, Germany and Netherlands. Robert J. Lutz's co-authors include Thomas W. Chittenden, Robert L. Dedrick, Walter A. Blättler, John M. Lambert, Michael Sinensky, Toshinori Ito, Shigeomi Shimizu, Masashi Narita, Hikaru Matsuda and Yoshihide Tsujimoto and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Robert J. Lutz

113 papers receiving 8.4k citations

Hit Papers

Targeting HER2-Positive Breast Cancer with Trastuz... 1995 2026 2005 2015 2008 1998 1995 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert J. Lutz United States 42 4.2k 3.2k 2.4k 988 648 116 8.7k
Alice L. Yu United States 56 6.1k 1.4× 2.8k 0.9× 815 0.3× 2.1k 2.1× 915 1.4× 297 11.9k
Paul Nathan United Kingdom 46 3.6k 0.8× 3.8k 1.2× 818 0.3× 1.1k 1.1× 524 0.8× 272 7.9k
Pier Giorgio Natali Italy 61 5.3k 1.2× 3.1k 1.0× 1.7k 0.7× 2.6k 2.6× 473 0.7× 260 11.3k
Dennis E. Hallahan United States 66 6.5k 1.5× 3.2k 1.0× 2.8k 1.1× 1.3k 1.3× 668 1.0× 267 13.3k
Shinichi Kitada United States 59 7.6k 1.8× 3.2k 1.0× 656 0.3× 2.8k 2.8× 731 1.1× 114 11.9k
Didier Decaudin France 39 3.6k 0.9× 1.8k 0.6× 363 0.1× 1.2k 1.2× 375 0.6× 148 7.0k
Robert C. Rees United Kingdom 39 2.2k 0.5× 1.9k 0.6× 391 0.2× 2.2k 2.3× 401 0.6× 222 5.7k
Christian C. Haudenschild United States 59 4.0k 0.9× 907 0.3× 1.2k 0.5× 1.2k 1.2× 638 1.0× 145 12.1k
Mayumi Ono Japan 61 7.4k 1.7× 4.0k 1.3× 606 0.2× 1.7k 1.8× 379 0.6× 214 12.1k
Theo M. Luider Netherlands 48 4.8k 1.1× 958 0.3× 415 0.2× 941 1.0× 490 0.8× 268 8.1k

Countries citing papers authored by Robert J. Lutz

Since Specialization
Citations

This map shows the geographic impact of Robert J. Lutz'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 Robert J. Lutz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert J. Lutz more than expected).

Fields of papers citing papers by Robert J. Lutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert J. Lutz. 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 Robert J. Lutz. The network helps show where Robert J. Lutz may publish in the future.

Co-authorship network of co-authors of Robert J. Lutz

This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. Lutz. A scholar is included among the top collaborators of Robert J. Lutz 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 Robert J. Lutz. Robert J. Lutz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Lutz, Robert J., et al.. (2017). An Application of Linear Programming In Performance Evaluation. The Academy of Educational Leadership Journal. 21(1). 1. 1 indexed citations
4.
Ab, Olga, Kathleen R. Whiteman, Laura M. Bartle, et al.. (2015). IMGN853, a Folate Receptor-α (FRα)–Targeting Antibody–Drug Conjugate, Exhibits Potent Targeted Antitumor Activity against FRα-Expressing Tumors. Molecular Cancer Therapeutics. 14(7). 1605–1613. 160 indexed citations
5.
Lutz, Robert J.. (2015). Targeting the folate receptor for the treatment of ovarian cancer. Translational Cancer Research. 4(1). 118–126. 41 indexed citations
6.
Kovtun, Yelena, Charlene A. Audette, Michele Mayo, et al.. (2010). Antibody-Maytansinoid Conjugates Designed to Bypass Multidrug Resistance. Cancer Research. 70(6). 2528–2537. 194 indexed citations
7.
Amaral, Juan, et al.. (2010). Sustained Subconjunctival Protein Delivery Using a Thermosetting Gel Delivery System. Journal of Ocular Pharmacology and Therapeutics. 26(1). 55–64. 38 indexed citations
8.
Lutz, Robert J. & Kathleen R. Whiteman. (2009). Antibody-maytansinoid conjugates for the treatment of myeloma. mAbs. 1(6). 548–551. 52 indexed citations
9.
Erickson, Hans K., Peter U. Park, Wayne C. Widdison, et al.. (2006). Antibody-Maytansinoid Conjugates Are Activated in Targeted Cancer Cells by Lysosomal Degradation and Linker-Dependent Intracellular Processing. Cancer Research. 66(8). 4426–4433. 421 indexed citations
10.
Kim, Hyuncheol, Karl G. Csaky, Peng Yuan, et al.. (2006). SAFETY AND PHARMACOKINETICS OF A PRESERVATIVE-FREE TRIAMCINOLONE ACETONIDE FORMULATION FOR INTRAVITREAL ADMINISTRATION. Retina. 26(5). 523–530. 51 indexed citations
11.
Lutz, Robert J., Hongsheng Xie, Wayne C. Widdison, et al.. (2005). HuC242-DM4, an antibody-maytansinoid conjugate with superior preclinical activity in human CanAg-positive tumor xenograft models in SCID mice. Cancer Research. 65. 334–335. 5 indexed citations
12.
Kim, Hyuncheol, Martin J. Lizak, Ginger Tansey, et al.. (2005). Study of Ocular Transport of Drugs Released from an Intravitreal Implant Using Magnetic Resonance Imaging. Annals of Biomedical Engineering. 33(2). 150–164. 54 indexed citations
13.
Park, Juyoung, Peter M. Bungay, Robert J. Lutz, et al.. (2005). Evaluation of coupled convective–diffusive transport of drugs administered by intravitreal injection and controlled release implant. Journal of Controlled Release. 105(3). 279–295. 95 indexed citations
14.
Yim, Peter J., Juan R. Cebral, Robert J. Lutz, et al.. (2004). Estimation of the differential pressure at renal artery stenoses. Magnetic Resonance in Medicine. 51(5). 969–977. 35 indexed citations
15.
Zhou, Xiaomai, Yimao Liu, Gillian Payne, Robert J. Lutz, & Thomas W. Chittenden. (2000). Growth Factors Inactivate the Cell Death Promoter BAD by Phosphorylation of Its BH3 Domain on Ser155. Journal of Biological Chemistry. 275(32). 25046–25051. 194 indexed citations
16.
Lutz, Robert J., Alan H. Epstein, Jack Cook, & Robert L. Dedrick. (1995). Anin VitroFlow Model to Study Streaming during Pelvic Intra-arterial Drug Infusions. Gynecologic Oncology. 59(2). 288–296. 6 indexed citations
17.
Lossef, Steven V., et al.. (1994). Comparison of Mechanical Deformation Properties of Metallic Stents with Use of Stress-Strain Analysis. Journal of Vascular and Interventional Radiology. 5(2). 341–349. 77 indexed citations
18.
Lutz, Robert J. & Donald L. Miller. (1988). Mixing studies during hepatic artery infusion in an in vitro model. Cancer. 62(6). 1066–1073. 10 indexed citations
19.
Lutz, Robert J. & Robert L. Dedrick. (1987). Implications of pharmacokinetic modeling in risk assessment analysis.. Environmental Health Perspectives. 76. 97–106. 12 indexed citations
20.
Himmelstein, Kenneth J. & Robert J. Lutz. (1979). A review of the applications of physiologically based pharmacokinetic modeling. Journal of Pharmacokinetics and Biopharmaceutics. 7(2). 127–145. 143 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.

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