Matthias Kahm

726 citations
4 papers · 486 indexed · 1 hit paper · h-index 4
Topics
Fungal and yeast genetics research (2 papers)Microbial Metabolic Engineering and Bioproduction (1 paper)Optimal Experimental Design Methods (1 paper)
Journals
SHILAP Revista de lepidopterologíaPLoS Computational BiologyJournal of Statistical Software
Partner nations
GermanySpainNetherlands

In The Last Decade

Matthias Kahm

4 papers receiving 479 citations

Hit Papers

grofit: Fitting Biological Growth Curves withR20102026201520202010100200300

Peers

Matthias Kahm
Comparison fields: 5 of 100
  • Molecular Biology 215
  • Plant Science 84
  • Genetics 71
  • Food Science 66
  • Ecology 60
Replace Guido Hasenbrink with:
Guido Hasenbrink Germany
Muhd Danish‐Daniel Malaysia
Peter H. Calcott United States
Ivana Gudelj United Kingdom
R. S. Dalvi India
Mylène Toubiana France
Huangkai Zhang China
Karen S. Aitken Australia
Frederick S. Fry United States
Francismar Corrêa Marcelino‐Guimarães Brazil
Matthias Kahm relative to Guido Hasenbrink Germany Guido Hasenbrink's profile →
Citations per field
00.5×1.5×
Guido Hasenbrink · 1×
Citations per year

Countries citing papers authored by Matthias Kahm

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Kahm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Kahm

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 17
2 41
3
grofit: Fitting Biological Growth Curves with R
32
4
grofit: Fitting Biological Growth Curves withRbreakdown →
396

About Matthias Kahm

Matthias Kahm is a scholar working on Management Science and Operations Research, Plant Science and Molecular Biology, having authored 4 papers that have together received 486 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (2 papers), Microbial Metabolic Engineering and Bioproduction (1 paper) and Optimal Experimental Design Methods (1 paper). The work is most often cited by research in Endocrinology (22 citations), Aging (7 citations) and Physical and Theoretical Chemistry (33 citations). Matthias Kahm has collaborated with scholars based in Germany, Spain and Netherlands. Frequent co-authors include Maik Kschischo, Jost Ludwig, Guido Hasenbrink, Hella Lichtenberg‐Fraté, José Ramos, Lynne Yenush, Joaquı́n Ariño, Lina Barreto, Clara Navarrete and Samuel Drulhe. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS Computational Biology and Journal of Statistical Software.

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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