Christian Klukas

4.5k citations
56 papers · 3.1k indexed · h-index 28
Topics
Bioinformatics and Genomic Networks (16 papers)Microbial Metabolic Engineering and Bioproduction (16 papers)Smart Agriculture and AI (13 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics
Partner nations
GermanySpainChina

In The Last Decade

Christian Klukas

54 papers receiving 3.0k citations

Peers

Christian Klukas
Comparison fields: 5 of 142
  • Plant Science 1.9k
  • Molecular Biology 1.2k
  • Ecology 547
  • Genetics 417
  • Ecology, Evolution, Behavior and Systematics 182
Replace Stijn Dhondt with:
Stijn Dhondt Belgium
Darren M. Wells United Kingdom
Hui Feng China
Malia Gehan United States
Wanneng Yang China
James C. Schnable United States
Yuchun Pan China
Noah Fahlgren United States
John H. Doonan United Kingdom
Henning Redestig Germany
Christian Klukas relative to Stijn Dhondt Belgium Stijn Dhondt's profile →
Citations per field
00.5×1.5×2.1×
Stijn Dhondt · 1×
Citations per year

Countries citing papers authored by Christian Klukas

Since Specialization
Citations

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

Fields of papers citing papers by Christian Klukas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Klukas

This figure shows the co-authorship network connecting the top 25 collaborators of Christian Klukas. A scholar is included among the top collaborators of Christian Klukas 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 Christian Klukas. Christian Klukas 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 3
2 4
3 9
4 27
5 42
6 62
7 132
8 94
9 226
10 195
11 112
12 80
13 26
14 75
15 122
16 9
17 37
18 22
19 36
20 12

About Christian Klukas

Christian Klukas is a scholar working on Plant Science, Ecological Modeling and Analytical Chemistry, having authored 56 papers that have together received 3.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (16 papers), Microbial Metabolic Engineering and Bioproduction (16 papers) and Smart Agriculture and AI (13 papers). The work is most often cited by research in Plant Science (1.9k citations), Ecology (547 citations) and Analytical Chemistry (172 citations). Christian Klukas has collaborated with scholars based in Germany, Spain and China. Frequent co-authors include Falk Schreiber, Dijun Chen, Björn H. Junker, Jean-Michel Pape, Ming Chen, Thomas Altmann, Astrid Junker, Kerstin Neumann, Benjamin Kilian and Swetlana Friedel. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

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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