Alexander Junge
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 0.5%
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- Biomedical Text Mining and Ontologies 4
- Bioinformatics and Genomic Networks 3
- RNA modifications and cancer 2
- RNA Research and Splicing 2
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- Topic Modeling 2
- Co-authors
- Lars Juhl Jensen (4 shared papers)Christian von Mering (2 shared papers)Jaime Huerta‐Cepas (1 shared paper)Nadezhda T. Doncheva (1 shared paper)Damian Szklarczyk (1 shared paper)Annika L. Gable (1 shared paper)Peer Bork (1 shared paper)David Lyon (1 shared paper)
- Journals
- Database (2 papers)Bioinformatics (2 papers)BMC Systems Biology (1 paper)Gene (1 paper)Frontiers in Plant Science (1 paper)
- Partner nations
- DenmarkGermanySwitzerland
In The Last Decade
Alexander Junge
11 papers receiving 12.3k citations
Alexander Junge's Hit Papers
Peers
Comparison fields: 5 of 160
- Cancer Research 1.4k
- Molecular Biology 6.1k
- Biological Psychiatry 147
- Immunology 1.1k
- Aging 76
Countries citing papers authored by Alexander Junge
This map shows the geographic impact of Alexander Junge'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 Alexander Junge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Junge more than expected).
Fields of papers citing papers by Alexander Junge
This network shows the impact of papers produced by Alexander Junge. 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 Alexander Junge. The network helps show where Alexander Junge may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Junge, 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 | STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets Hit paper breakdown → | 2018 | 11989 |
| 2 | 2016 | 100 | |
| 3 | 2017 | 80 | |
| 4 | 2022 | 74 | |
| 5 | 2014 | 47 | |
| 6 | 2017 | 22 | |
| 7 | 2023 | 19 | |
| 8 | 2019 | 17 | |
| 9 | 2019 | 14 | |
| 10 | 2017 | 12 | |
| 11 | 2015 | 5 | |
| 12 | 2025 | 0 |
About Alexander Junge
Alexander Junge is a scholar working on Molecular Biology, Artificial Intelligence, Plant Science, Cancer Research and Horticulture, having authored 12 papers that have together received 12.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Bioinformatics and Genomic Networks (3 papers), Topic Modeling (2 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Horticultural and Viticultural Research (1 paper), Genomics and Rare Diseases (1 paper) and Plant and Fungal Interactions Research (1 paper). The work is most often cited by research in Cancer Research (1.4k citations), Molecular Biology (6.1k citations), Biological Psychiatry (147 citations), Immunology (1.1k citations) and Aging (76 citations). Alexander Junge has collaborated with scholars based in Denmark, Germany and Switzerland. Frequent co-authors include Lars Juhl Jensen, Christian von Mering, Jaime Huerta‐Cepas, Nadezhda T. Doncheva, Damian Szklarczyk, Annika L. Gable, Peer Bork, David Lyon, Stefan Wyder and Milan Simonovic. Their work appears in journals such as Database, Bioinformatics, BMC Systems Biology, Gene and Frontiers in Plant Science.
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.