Christoph Wierling

4.5k citations
40 papers · 2.6k indexed · 1 hit paper · h-index 17
Topics
Gene Regulatory Network Analysis (16 papers)Bioinformatics and Genomic Networks (16 papers)Microbial Metabolic Engineering and Bioproduction (6 papers)

In The Last Decade

Christoph Wierling

37 papers receiving 2.6k citations

Hit Papers

Systems Biology19942026200420151994100200300400500

Peers

Christoph Wierling
Comparison fields: 5 of 153
  • Molecular Biology 2.0k
  • Genetics 318
  • Cancer Research 268
  • Computational Theory and Mathematics 185
  • Oncology 170
Replace Zhi‐Ping Liu with:
Zhi‐Ping Liu China
Neema Jamshidi United States
Lan K. Nguyen United States
Astrid Lægreid Norway
Mickaël Guedj France
Sol Efroni Israel
Dénes Türei Germany
Anatoly Kiyatkin United States
Aurélien Naldi France
Hamid Bolouri United States
Christoph Wierling relative to Zhi‐Ping Liu China Zhi‐Ping Liu's profile →
Citations per field
00.5×1.5×2.0×
Zhi‐Ping Liu · 1×
Citations per year

Countries citing papers authored by Christoph Wierling

Since Specialization
Citations

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

Fields of papers citing papers by Christoph Wierling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christoph Wierling

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 4
3 19
4 0
5 0
6 84
7 17
8 13
9 13
10 39
11 10
12 10
13 63
14 131
15 19
16 2
17 13
18 6
19 411
20 39

About Christoph Wierling

Christoph Wierling is a scholar working on Modeling and Simulation, Cancer Research and Molecular Biology, having authored 40 papers that have together received 2.6k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (16 papers), Bioinformatics and Genomic Networks (16 papers) and Microbial Metabolic Engineering and Bioproduction (6 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Cancer Research (268 citations) and Biophysics (73 citations). Christoph Wierling has collaborated with scholars based in Germany, Austria and United Kingdom. Frequent co-authors include Hans Lehrach, Ralf Herwig, Wolfram Liebermeister, Edda Klipp, Atanas Kamburov, Axel Kowald, Edda Klipp, Hendrik Hache, Bodo Lange and James Adjaye. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Journal of Clinical Oncology.

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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