Christoph Lengger

1.4k total citations
9 papers, 248 citations indexed

About

Christoph Lengger is a scholar working on Molecular Biology, Cancer Research and Rheumatology. According to data from OpenAlex, Christoph Lengger has authored 9 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Rheumatology. Recurrent topics in Christoph Lengger's work include Carcinogens and Genotoxicity Assessment (3 papers), DNA Repair Mechanisms (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Christoph Lengger is often cited by papers focused on Carcinogens and Genotoxicity Assessment (3 papers), DNA Repair Mechanisms (2 papers) and Biomedical Text Mining and Ontologies (2 papers). Christoph Lengger collaborates with scholars based in Germany, United Kingdom and Netherlands. Christoph Lengger's co-authors include G Schöch, Heinrich Topp, Martin Hrabě de Angelis, Valérie Gailus‐Durner, Helmut Fuchs, Birgit Rathkolb, Gordon P Otto, Eckhard Wolf, Markus Brielmeier and J. R. Needham and has published in prestigious journals such as Nucleic Acids Research, Analytical Biochemistry and Archives of Biochemistry and Biophysics.

In The Last Decade

Christoph Lengger

9 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christoph Lengger Germany 7 120 32 31 27 19 9 248
Frida Persson Sweden 8 208 1.7× 27 0.8× 40 1.3× 12 0.4× 7 0.4× 8 387
Brenda Alston‐Mills United States 11 147 1.2× 52 1.6× 28 0.9× 32 1.2× 41 2.2× 29 390
Balázs Bender Hungary 12 151 1.3× 39 1.2× 57 1.8× 17 0.6× 16 0.8× 15 333
Rudy Alvarado United States 7 160 1.3× 54 1.7× 18 0.6× 9 0.3× 7 0.4× 9 376
Makoto Sugawara Japan 10 125 1.0× 25 0.8× 5 0.2× 30 1.1× 10 0.5× 29 331
Sang-Je Park South Korea 10 205 1.7× 68 2.1× 10 0.3× 19 0.7× 17 0.9× 27 294
Angela Giovazzino Italy 10 50 0.4× 17 0.5× 16 0.5× 22 0.8× 29 1.5× 16 275
Tim Erkens Belgium 10 213 1.8× 100 3.1× 21 0.7× 78 2.9× 72 3.8× 20 404
Linlin Zhou China 10 79 0.7× 15 0.5× 15 0.5× 32 1.2× 20 1.1× 17 229
Letizia Paladino Italy 10 231 1.9× 16 0.5× 9 0.3× 51 1.9× 8 0.4× 23 354

Countries citing papers authored by Christoph Lengger

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Lengger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Lengger

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

All Works

9 of 9 papers shown
1.
Otto, Gordon P, Birgit Rathkolb, Christoph Lengger, et al.. (2016). Clinical Chemistry Reference Intervals for C57BL/6J, C57BL/6N, and C3HeB/FeJ Mice (Mus musculus).. PubMed. 55(4). 375–86. 90 indexed citations
2.
Burdett, Tony, Helen Parkinson, Nick Juty, et al.. (2016). Biomedbridges: Harmonisation Of Semantic Standards Supporting Use Cases From Wp7 And Wp10, Report. INFM-OAR (INFN Catania). 1 indexed citations
3.
Bild, Raffael, Florian Kohlmayer, Michael Brunner, et al.. (2014). Biomedbridges Security Architecture And Framework. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
4.
Morgan, Hugh W., Tim Beck, Andrew Blake, et al.. (2009). EuroPhenome: a repository for high-throughput mouse phenotyping data. Nucleic Acids Research. 38(suppl_1). D577–D585. 51 indexed citations
5.
Maier, Holger, et al.. (2008). MausDB: An open source application for phenotype data and mouse colony management in large-scale mouse phenotyping projects. BMC Bioinformatics. 9(1). 169–169. 8 indexed citations
6.
Brielmeier, Markus, et al.. (2006). Microbiological monitoring of laboratory mice and biocontainment in individually ventilated cages: a field study. Laboratory Animals. 40(3). 247–260. 45 indexed citations
7.
Topp, Heinrich, Sven Armbrust, Christoph Lengger, et al.. (2002). Renal excretion of 8-oxo-7,8-dihydro-2′-deoxyguanosine: degradation rates of RNA and metabolic rate in humans. Archives of Biochemistry and Biophysics. 402(1). 31–37. 7 indexed citations
8.
Lengger, Christoph, G Schöch, & Heinrich Topp. (2000). A High-Performance Liquid Chromatographic Method for the Determination of 8-Oxo-7,8-dihydro-2′-deoxyguanosine in Urine from Man and Rat. Analytical Biochemistry. 287(1). 65–72. 32 indexed citations
9.
Topp, Heinrich, et al.. (2000). Renal Excretion of 8-Oxo-7,8-dihydro-2′-deoxyguanosine in Wistar Rats with Increased O2 Consumption Due to Cold Stress. Archives of Biochemistry and Biophysics. 376(2). 328–332. 13 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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