S. Lorenz

416 citations
16 papers · 309 · h-index 9

Impact in

Papers in

    • RNA and protein synthesis mechanisms 6
    • RNA modifications and cancer 4
    • Cancer therapeutics and mechanisms 2
    • DNA Repair Mechanisms 2
    • RNA Research and Splicing 2
    • Fibromyalgia and Chronic Fatigue Syndrome Research 4

S. Lorenz

16 papers receiving 296 citations

Peers

S. Lorenz
Comparison fields: 5 of 71
  • Psychiatry and Mental health 129
  • Neurology 69
  • Structural Biology 3
  • Molecular Biology 140
  • Cellular and Molecular Neuroscience 36
Replace Jun Arai with:
Jun Arai Japan
Jung Hwan Lee South Korea
Kiyokuni Miura Japan
Steve Barash United States
Li Cui China
Priscila M. Sacramento Brazil
Flemming Juul Hansen Denmark
J. I. Manson Australia
Sevim Şahin Türkiye
Hiroaki Yasui Japan
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Citations per field
00.5×2.6×
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Citations per year

Countries citing papers authored by S. Lorenz

Since Specialization
Citations

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

Fields of papers citing papers by S. Lorenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 202054
2 199452
3 202146
4 202038
5 201338
6 202114
7 198313
8 201511
9 200010
10 19967
11
[Memory performance of Parkinson patients with and without sleep apnea syndrome].
19967
12
Neutron scattering measurements with the label triangulation method on the 50 S subunit of E. coli ribosomes.
19766
13 19934
14
[Action of riboflavin and luminoflavin on growing tumor cells].
19684
15
Binding of aminoacyl tRNA to ribosomes: a function of 5S-RNA.
19743
16 19622

About S. Lorenz

S. Lorenz is a scholar working on Molecular Biology, Psychiatry and Mental health, Cellular and Molecular Neuroscience, Oncology and Materials Chemistry, having authored 16 papers that have together received 309 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), RNA modifications and cancer (4 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Cancer therapeutics and mechanisms (2 papers), DNA Repair Mechanisms (2 papers), RNA Research and Splicing (2 papers), Enzyme Structure and Function (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Psychiatry and Mental health (129 citations), Neurology (69 citations), Structural Biology (3 citations), Molecular Biology (140 citations) and Cellular and Molecular Neuroscience (36 citations). S. Lorenz has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Patricia Grabowski, Carmen Scheibenbogen, Franziska Sotzny, Volker A. Erdmann, Jelka Hartwig, Sandra Bauer, Keith S. Wilson, T. Schneider, Jens P. Fürste and Rolf Bald. Their work appears in journals such as FEBS Letters, Frontiers in Immunology, Cytometry Part A, ESC Heart Failure and Journal of Clinical Medicine.

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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