Björn E. Langer

555 citations
7 papers · 269 · h-index 6

Impact in

Papers in

    • Genomics and Phylogenetic Studies 5
    • Genomics and Chromatin Dynamics 2
    • Retinal Development and Disorders 2
    • Machine Learning in Bioinformatics 1
    • Genome Rearrangement Algorithms 1

Björn E. Langer

7 papers receiving 269 citations

Peers

Björn E. Langer
Comparison fields: 5 of 67
  • Aging 6
  • Genetics 92
  • Ecology, Evolution, Behavior and Systematics 48
  • Paleontology 17
  • Molecular Biology 161
Replace Luye Shi with:
Luye Shi China
Victor Rossier Switzerland
Caroline Bacquet Ecuador
Konstantin Gunbin Russia
Daniel J. Leite United Kingdom
Peiwen Xiong China
Andrew Calcino Austria
Sterling Sawaya United States
Marikò Forconi Italy
Robert C. Eisman United States
Björn E. Langer relative to Luye Shi China Luye Shi's profile →
Citations per field
00.5×10×15.5×
Luye Shi · 1×
Citations per year

Countries citing papers authored by Björn E. Langer

Since Specialization
Citations

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

Fields of papers citing papers by Björn E. Langer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Björn E. Langer. 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 Björn E. Langer. The network helps show where Björn E. Langer may publish in the future.

Co-authors

The 16 scholars most cited alongside Björn E. Langer, 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 Björn E. Langer Line = papers co-authored together Björn E. Langer links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2018163
2 201852
3 201725
4 201811
5 202210
6 20185
7 20253

About Björn E. Langer

Björn E. Langer is a scholar working on Molecular Biology, Genetics, Plant Science, Agronomy and Crop Science and Global and Planetary Change, having authored 7 papers that have together received 269 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Genomics and Chromatin Dynamics (2 papers), Chromosomal and Genetic Variations (2 papers), Retinal Development and Disorders (2 papers), Amphibian and Reptile Biology (1 paper), Machine Learning in Bioinformatics (1 paper), Genome Rearrangement Algorithms (1 paper) and Animal Disease Management and Epidemiology (1 paper). The work is most often cited by research in Aging (6 citations), Genetics (92 citations), Ecology, Evolution, Behavior and Systematics (48 citations), Paleontology (17 citations) and Molecular Biology (161 citations). Björn E. Langer has collaborated with scholars based in Germany, Spain and France. Frequent co-authors include Michael Hiller, Juliana G. Roscito, Nikolai Hecker, Virag Sharma, Miguel Tréfaut Rodrigues, Genı́s Parra, Katrin Sameith, Claudia Moebius, Hernando G. Suárez Duran and Marc Bickle. Their work appears in journals such as Nature Communications, Bioinformatics, Nucleic Acids Research and Molecular Biology 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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