Frank Jühling

9.9k citations
21 papers · 5.7k indexed · 3 hit papers · h-index 15

Frank Jühling

20 papers receiving 5.6k citations

Hit Papers

Improved annotation of protein-c...423200820262014202010002.0k3.0k

Peers

Frank Jühling
Comparison fields: 5 of 122
  • Insect Science 857
  • Molecular Biology 3.9k
  • Ecology 1.4k
  • Ecology, Evolution, Behavior and Systematics 1.0k
  • Genetics 1.5k
Replace Matthias Bernt with:
Matthias Bernt Germany
Joern Pütz France
Guido Fritzsch Germany
Catherine Florentz France
Alexander Donath Germany
Gerard Talavera Spain
Lutz Bachmann Norway
Elisabeth A. Herniou France
Mark Y. Stoeckle United States
Guillaume Achaz France
Frank Jühling relative to Matthias Bernt Germany Matthias Bernt's profile →
Citations per field
00.5×1.5×
Matthias Bernt · 1×
Citations per year

Countries citing papers authored by Frank Jühling

Since Specialization
Citations

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

Fields of papers citing papers by Frank Jühling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank Jühling. 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 Frank Jühling. The network helps show where Frank Jühling may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Frank Jühling, 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 Frank Jühling Line = papers co-authored together Frank Jühling links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20244
3 20230
4 201928
5
Improved annotation of protein-coding genes boundaries in metazoan mitochondrial genomesbreakdown →
2019423
6 201935
7 20195
8 201723
9 2017105
10 20175
11 201676
12 201524
13 2015287
14 201426
15 201250
16 201217
17
MITOS: Improved de novo metazoan mitochondrial genome annotationbreakdown →
20123507
18 2011127
19 2011230
20
tRNAdb 2009: compilation of tRNA sequences and tRNA genesbreakdown →
2008672

About Frank Jühling

Frank Jühling is a scholar working on Hepatology, Virology and Molecular Biology, having authored 21 papers that have together received 5.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), RNA and protein synthesis mechanisms (9 papers), RNA modifications and cancer (7 papers), Hepatitis C virus research (4 papers), Machine Learning in Bioinformatics (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Epigenetics and DNA Methylation (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Insect Science (857 citations), Molecular Biology (3.9k citations) and Ecology (1.4k citations). Frank Jühling has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Peter F. Stadler, Joern Pütz, Martin Middendorf, Matthias Bernt, Alexander Donath, Catherine Florentz, Guido Fritzsch, Mario Mörl, Roland K. Hartmann and Mathias Sprinzl. Their work appears in journals such as Nucleic Acids Research, Cancer Research and Gut.

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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