Robert Lutz

40 papers receiving 635 citations

Peers

Robert Lutz
Comparison fields: 5 of 126
  • Theoretical Computer Science 22
  • Mathematical Physics 111
  • Geometry and Topology 99
  • Human Factors and Ergonomics 15
  • Applied Mathematics 52
Replace Laurent Pujo-Menjouet with:
Laurent Pujo-Menjouet France
Shanshan Tang China
Frank Fleischer Germany
Tomotada Ohtsuki Japan
N. Ayache France
Christoph Brüne Netherlands
Masaki Fukui Japan
Sang‐Mok Choo South Korea
Leili Shahriyari United States
Rina Anno United States
Robert Lutz relative to Laurent Pujo-Menjouet France Laurent Pujo-Menjouet's profile →
Citations per field
00.5×5.8×
Laurent Pujo-Menjouet · 1×
Citations per year

Countries citing papers authored by Robert Lutz

Since Specialization
Citations

This map shows the geographic impact of Robert 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 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 Lutz more than expected).

Fields of papers citing papers by Robert Lutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Robert Lutz, 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 Robert Lutz Line = papers co-authored together Robert Lutz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199871
2 198163
3 199854
4 197754
5 199149
6 199547
7 201835
8 200533
9
p23rab2, a ras-like GTPase with a -GGGCC C-terminus, is isoprenylated but not detectably carboxymethylated in NIH3T3 cells.
199230
10 201930
11 198129
12 197922
13 201717
14 200616
15 201414
16 201513
17 200213
18 200113
19 199712
20
Efficacy of IMGN901 (huN901-DM1) in combination with bortezomib and lenalidomide against multiple myeloma cells in preclinical studies
200811

About Robert Lutz

Robert Lutz is a scholar working on Oncology, Mathematical Physics, Molecular Biology, Computer Science Applications and Surgery, having authored 43 papers that have together received 710 indexed citations. Recurring topics across this work include Mathematical and Theoretical Analysis (6 papers), Teaching and Learning Programming (6 papers), Cancer Treatment and Pharmacology (3 papers), HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Computability, Logic, AI Algorithms (3 papers), Open Education and E-Learning (3 papers) and Innovative Teaching Methods (2 papers). The work is most often cited by research in Theoretical Computer Science (22 citations), Mathematical Physics (111 citations), Geometry and Topology (99 citations), Human Factors and Ergonomics (15 citations) and Applied Mathematics (52 citations). Robert Lutz has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Michel Goze, G. Chinnadurai, T. Subramanian, Carol A. Vater, Erik J. Uhlmann, N Rupp, Ian G. Macara, Michael Sinensky, Chungwen Wei and F. Jung. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, Annales de l’institut Fourier and Journal of Biomechanics.

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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