Alexander Junge

19.5k citations
11 papers · 12.0k indexed · 1 hit paper · h-index 10

Alexander Junge

11 papers receiving 11.9k citations

Hit Papers

STRING v11: protein–protein association networks with inc...11.7k20182026202020232.5k5.0k7.5k10.0k

Peers

Alexander Junge
Comparison fields: 5 of 164
  • Cancer Research 1.9k
  • Molecular Biology 7.2k
  • Biological Psychiatry 184
  • Immunology 1.4k
  • Pharmacology 498
Replace Bin Zhou with:
Bin Zhou China
Alberto Santos Denmark
Katerina Nastou Greece
Yingyao Zhou United States
Rebecca Kirsch Denmark
Tao Fang China
Andrea Franceschini Switzerland
Lars Pache United States
Olga Tanaseichuk United States
Sumit K. Chanda United States
Alexander Junge relative to Bin Zhou China Bin Zhou's profile →
Citations per field
00.5×1.5×2.1×
Bin Zhou · 1×
Citations per year

Countries citing papers authored by Alexander Junge

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Alexander Junge Line = papers co-authored together Alexander Junge links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 202315
2 202259
3 201915
4 201913
5
STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasetsbreakdown →
201811663
6 201712
7 201780
8 201722
9 2016100
10 20155
11 201447

About Alexander Junge

Alexander Junge is a scholar working on Horticulture, Endocrinology and Molecular Biology, having authored 11 papers that have together received 12.0k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), RNA modifications and cancer (3 papers), Bioinformatics and Genomic Networks (3 papers), Genomics and Phylogenetic Studies (2 papers), RNA Research and Splicing (2 papers), Genomics and Rare Diseases (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Cancer Research (1.9k citations), Molecular Biology (7.2k citations) and Biological Psychiatry (184 citations). Alexander Junge has collaborated with scholars based in Denmark, Switzerland and Germany. Frequent co-authors include Lars Juhl Jensen, Christian von Mering, Annika L. Gable, Milan Simonovic, David Lyon, Stefan Wyder, Peer Bork, Jaime Huerta‐Cepas, Nadezhda T. Doncheva and Damian Szklarczyk. Their work appears in journals such as Bioinformatics, Database, Gene, BMC Systems Biology and Ecology 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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