Robert J. Lutz
- Oncology top 0.5%
- HER2/EGFR in Cancer Research 24
- CAR-T cell therapy research 8
- Peptidase Inhibition and Analysis 7
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- Monoclonal and Polyclonal Antibodies Research 29
- Retinal and Macular Surgery 7
- Molecular Biology top 1%
- Cell death mechanisms and regulation 8
- Ophthalmology top 1%
- Retinal Diseases and Treatments 7
- Immunology top 2%
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- Multiple Myeloma Research and Treatments 7
- Co-authors
- Thomas W. ChittendenRobert L. DedrickWalter A. BlättlerJohn M. LambertMichael SinenskyToshinori ItoShigeomi ShimizuMasashi Narita
- Journals
- Nature (1 paper)Proceedings of the National Academy of Sciences (5 papers)Journal of Biological Chemistry (6 papers)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Robert J. Lutz
113 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Oncology 3.2k
- Radiology, Nuclear Medicine and Imaging 2.4k
- Molecular Biology 4.2k
- Ophthalmology 517
- Immunology 988
Countries citing papers authored by Robert J. Lutz
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
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
The 25 scholars most cited alongside Robert J. Lutz, 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 | 2025 | 0 | |
| 2 | 2023 | 1 | |
| 3 | An Application of Linear Programming In Performance Evaluation | 2017 | 1 |
| 4 | 2015 | 160 | |
| 5 | 2015 | 41 | |
| 6 | 2010 | 194 | |
| 7 | 2010 | 38 | |
| 8 | 2009 | 52 | |
| 9 | 2006 | 421 | |
| 10 | 2006 | 51 | |
| 11 | HuC242-DM4, an antibody-maytansinoid conjugate with superior preclinical activity in human CanAg-positive tumor xenograft models in SCID mice | 2005 | 5 |
| 12 | 2005 | 54 | |
| 13 | 2005 | 95 | |
| 14 | 2004 | 35 | |
| 15 | 2000 | 194 | |
| 16 | 1995 | 6 | |
| 17 | 1994 | 77 | |
| 18 | 1988 | 10 | |
| 19 | 1987 | 12 | |
| 20 | 1979 | 143 |
About Robert J. Lutz
Robert J. Lutz is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Ophthalmology, having authored 116 papers that have together received 8.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (29 papers), HER2/EGFR in Cancer Research (24 papers), Cell death mechanisms and regulation (8 papers), CAR-T cell therapy research (8 papers), Retinal Diseases and Treatments (7 papers), Retinal and Macular Surgery (7 papers), Multiple Myeloma Research and Treatments (7 papers) and Peptidase Inhibition and Analysis (7 papers). The work is most often cited by research in Oncology (3.2k citations), Radiology, Nuclear Medicine and Imaging (2.4k citations) and Molecular Biology (4.2k citations). Robert J. Lutz has collaborated with scholars based in United States, Germany and Netherlands. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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.