Christian Lanz

33 papers receiving 1.2k citations

Peers

Christian Lanz
Comparison fields: 5 of 114
  • Parasitology 87
  • Pharmacology 152
  • Cancer Research 133
  • Toxicology 30
  • Molecular Biology 596
Replace Mitsutoshi Tsukimoto with:
Mitsutoshi Tsukimoto Japan
Bruno D’Agostino Italy
Virendra K. Sharma United States
Andrew K. Ottens United States
Zoltán Németh United States
Peter Findeisen Germany
Ji‐Hoon Kang South Korea
Yael Rosenberg‐Hasson United States
Xiaobo Liu China
Christian Lanz relative to Mitsutoshi Tsukimoto Japan Mitsutoshi Tsukimoto's profile →
Citations per field
00.5×7.3×
Mitsutoshi Tsukimoto · 1×
Citations per year

Countries citing papers authored by Christian Lanz

Since Specialization
Citations

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

Fields of papers citing papers by Christian Lanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011224
2 200193
3 200986
4 201185
5 201668
6 200862
7 200060
8 200253
9 200447
10 200941
11 200736
12 201534
13 200333
14 201331
15 200331
16 200629
17 200628
18 201426
19
Assessing Femur and Pelvis Injury Risk in Car-Pedestrian Collisions: Comparison of Full Body PMTO Impacts, and a Human Body Finite Element Model
200523
20 200821

About Christian Lanz

Christian Lanz is a scholar working on Molecular Biology, Cognitive Neuroscience, Pharmacology, Biomedical Engineering and Surgery, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Glycosylation and Glycoproteins Research (5 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Pancreatic function and diabetes (4 papers), Metabolism and Genetic Disorders (4 papers), Alcohol Consumption and Health Effects (4 papers), Cannabis and Cannabinoid Research (3 papers) and Effects of Radiation Exposure (2 papers). The work is most often cited by research in Parasitology (87 citations), Pharmacology (152 citations), Cancer Research (133 citations), Toxicology (30 citations) and Molecular Biology (596 citations). Christian Lanz has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Wolfgang Thormann, Jeffrey R. Idle, Frank J. Gonzalez, Andrew D. Patterson, Kristopher W. Krausz, Jean‐François Dufour, Rudolf Brenneisen, Diren Beyoğlu, Olivier Maurhofer and Thomas Pabst. Their work appears in journals such as Journal of Chromatography A, Electrophoresis, Journal of Separation Science, Radiation Research and Cancer Research.

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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