Peer Bork
- Molecular Biology top 0.01%
- Genomics and Phylogenetic Studies 171
- RNA and protein synthesis mechanisms 99
- Bioinformatics and Genomic Networks 90
- Gut microbiota and health 53
- Machine Learning in Bioinformatics 43
- RNA Research and Splicing 41
- Protein Structure and Dynamics 39
- Endocrinology top 0.05%
- Cancer Research top 0.02%
- Ecology top 0.01%
- Microbial Community Ecology and Physiology 41
- Aging top 0.1%
- Co-authors
- Ivica LetunićLars Juhl JensenChristian von MeringDamian SzklarczykMichael KuhnJaime Huerta‐CepasMilan SimonovicTobias Doerks
- Journals
- Nucleic Acids Research (65 papers)Bioinformatics (24 papers)Trends in Biochemical Sciences (24 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Peer Bork
518 papers receiving 144.0k citations
Hit Papers
Peers
Comparison fields: 5 of 223
- Molecular Biology 97.1k
- Endocrinology 3.4k
- Cancer Research 9.5k
- Ecology 15.9k
- Aging 1.0k
Countries citing papers authored by Peer Bork
This map shows the geographic impact of Peer Bork'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 Peer Bork with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peer Bork more than expected).
Fields of papers citing papers by Peer Bork
This network shows the impact of papers produced by Peer Bork. 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 Peer Bork. The network helps show where Peer Bork may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peer Bork, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | The STRING database in 2025: protein networks with directionality of regulationbreakdown → | 2024 | 93 |
| 3 | 2024 | 14 | |
| 4 | 2022 | 85 | |
| 5 | Polarization of microbial communities between competitive and cooperative metabolismbreakdown → | 2021 | 208 |
| 6 | 2020 | 67 | |
| 7 | Diversity within species: interpreting strains in microbiomesbreakdown → | 2020 | 256 |
| 8 | 2020 | 116 | |
| 9 | 2019 | 28 | |
| 10 | 2015 | 127 | |
| 11 | Metabolic dependencies drive species co-occurrence in diverse microbial communitiesbreakdown → | 2015 | 601 |
| 12 | 2014 | 81 | |
| 13 | 2014 | 68 | |
| 14 | A side effect resource to capture phenotypic effects of drugsbreakdown → | 2010 | 704 |
| 15 | 2010 | 137 | |
| 16 | 2009 | 139 | |
| 17 | 2009 | 324 | |
| 18 | 2008 | 9 | |
| 19 | 2007 | 307 | |
| 20 | 2005 | 65 |
About Peer Bork
Peer Bork is a scholar working on Molecular Biology, Ecology and Genetics, having authored 524 papers that have together received 145.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (171 papers), RNA and protein synthesis mechanisms (99 papers), Bioinformatics and Genomic Networks (90 papers), Gut microbiota and health (53 papers), Machine Learning in Bioinformatics (43 papers), Microbial Community Ecology and Physiology (41 papers), RNA Research and Splicing (41 papers) and Protein Structure and Dynamics (39 papers). The work is most often cited by research in Molecular Biology (97.1k citations), Endocrinology (3.4k citations) and Cancer Research (9.5k citations). Peer Bork has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Ivica Letunić, Lars Juhl Jensen, Christian von Mering, Damian Szklarczyk, Michael Kuhn, Jaime Huerta‐Cepas, Milan Simonovic, Tobias Doerks, Nadezhda T. Doncheva and Stefan Wyder. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Trends in Biochemical Sciences, FEBS Letters and Molecular Systems Biology.
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.