Frank Kauff

13.6k citations
33 papers · 5.7k indexed · 1 hit paper · h-index 25

Impact in

Papers in

Frank Kauff

33 papers receiving 5.6k citations

Hit Papers

Biopython: freely available Python tools for computational molecular biology and bioinformatics 2009 · 3.5k citations
3.5k200920262014202010002.0k3.0k

Peers

Frank Kauff
Comparison fields: 5 of 173
  • Cell Biology 1.1k
  • Ecology, Evolution, Behavior and Systematics 1.2k
  • Molecular Biology 3.4k
  • Plant Science 1.8k
  • Ecology 699
Replace Jörg Schultz with:
Jörg Schultz Germany
François Chevenet France
John Maslen United Kingdom
David Binns United Kingdom
Sebastien Pesseat United Kingdom
Tobias Müller Germany
Maxim Scheremetjew United Kingdom
Karen Clark United States
Salvador Capella-Gutiérrez Spain
Haim Ashkenazy Israel
Frank Kauff relative to Jörg Schultz Germany Jörg Schultz's profile →
Citations per field
00.5×10×15×20×25×
Jörg Schultz · 1×
Citations per year

Countries citing papers authored by Frank Kauff

Since Specialization
Citations

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

Fields of papers citing papers by Frank Kauff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201414
2 201478
3 201436
4 201368
5 2013103
6 201357
7 201332
8 201233
9 20123
10 201111
11 201132
12 201147
13 201179
14 2009149
15 200964
16 200846
17
Walking the thin line between Russula and Lactarius: the dilemma of Russula subsect. Ochricompactae.
200890
18 2006120
19 2006160
20 200030

About Frank Kauff

Frank Kauff is a scholar working on Ecology, Evolution, Behavior and Systematics, Cell Biology, Plant Science, Molecular Biology and Pharmacology, having authored 33 papers that have together received 5.7k indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (18 papers), Lichen and fungal ecology (16 papers), Plant Pathogens and Fungal Diseases (11 papers), Genomics and Phylogenetic Studies (7 papers), Mitochondrial Function and Pathology (4 papers), Botany and Plant Ecology Studies (4 papers), Yeasts and Rust Fungi Studies (3 papers) and Plant and Fungal Species Descriptions (3 papers). The work is most often cited by research in Cell Biology (1.1k citations), Ecology, Evolution, Behavior and Systematics (1.2k citations), Molecular Biology (3.4k citations), Plant Science (1.8k citations) and Ecology (699 citations). Frank Kauff has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Cymon J. Cox, Bartek Wilczyński, Peter Cock, Jeffrey T. Chang, Brad Chapman, Michiel de Hoon, Iddo Friedberg, Andrew Dalke, Tiago Antão and Thomas Hamelryck. Their work appears in journals such as Fungal Diversity, Mycologia, Systematic Biology, Bioinformatics and Molecular Phylogenetics and Evolution.

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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