Fredrik Tegenfeldt
- Molecular Biology top 10%
- Genetics top 5%
- Plant Science top 5%
- Insect Science top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Co-authors
- Evgenia V. KriventsevaEvgeny M. ZdobnovDmitry KuznetsovFelipe A. SimãoMosè ManniRobert M. WaterhouseRenata O. DiasJia Li
- Topics
- Genomics and Phylogenetic Studies (8 papers)Machine Learning in Bioinformatics (2 papers)Microbial Community Ecology and Physiology (2 papers)
- Journals
- Nucleic Acids Research
- Partner nations
- Switzerland
In The Last Decade
Fredrik Tegenfeldt
8 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Molecular Biology 1.1k
- Genetics 558
- Plant Science 448
- Insect Science 315
- Ecology, Evolution, Behavior and Systematics 296
Countries citing papers authored by Fredrik Tegenfeldt
This map shows the geographic impact of Fredrik Tegenfeldt'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 Fredrik Tegenfeldt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fredrik Tegenfeldt more than expected).
Fields of papers citing papers by Fredrik Tegenfeldt
This network shows the impact of papers produced by Fredrik Tegenfeldt. 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 Fredrik Tegenfeldt. The network helps show where Fredrik Tegenfeldt may publish in the future.
Co-authorship network of co-authors of Fredrik Tegenfeldt
This figure shows the co-authorship network connecting the top 25 collaborators of Fredrik Tegenfeldt. A scholar is included among the top collaborators of Fredrik Tegenfeldt 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 Fredrik Tegenfeldt. Fredrik Tegenfeldt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | OrthoDB v11: annotation of orthologs in the widest sampling of organismal diversitybreakdown → | 223 |
| 3 | 107 | |
| 4 | OrthoDB v10: sampling the diversity of animal, plant, fungal, protist, bacterial and viral genomes for evolutionary and functional annotations of orthologsbreakdown → | 601 |
| 5 | OrthoDB v9.1: cataloging evolutionary and functional annotations for animal, fungal, plant, archaeal, bacterial and viral orthologsbreakdown → | 311 |
| 6 | 213 | |
| 7 | 275 | |
| 8 | 109 |
About Fredrik Tegenfeldt
Fredrik Tegenfeldt is a scholar working on Clinical Biochemistry, Pharmacology and Ecology, having authored 8 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Machine Learning in Bioinformatics (2 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Insect Science (315 citations), Genetics (558 citations) and Molecular Biology (1.1k citations). Fredrik Tegenfeldt has collaborated with scholars based in Switzerland. Frequent co-authors include Evgenia V. Kriventseva, Evgeny M. Zdobnov, Dmitry Kuznetsov, Felipe A. Simão, Mosè Manni, Robert M. Waterhouse, Renata O. Dias, Jia Li, Mathieu Seppey and Panagiotis Ioannidis. Their work appears in journals such as Nucleic Acids Research.
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.