Science Explorer Back to mapMap
Discussion
Researcher · University of Göttingen · Germany

Julia Sprenger

Julia Sprenger publishes mostly in Molecular Biology, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine, on topics such as Phosphodiesterase function and regulation, Cardiac electrophysiology and arrhythmias and EEG and Brain-Computer Interfaces.

ORCID 0000-0002-9986-7477 OpenAlex
World rank
#1,386,021
of 7,710,434 ranked researchers
Rank in Germany
#68,330
of 364,343
Works
45
Citations
945
Citations per work
21.0
h-index
14
i10-index 16Top 55% in Molecular Biology
Julia Sprenger

What does Julia Sprenger research?

Julia Sprenger's work is mostly in Neuroscience (24%), Biochemistry, Genetics and Molecular Biology (20%), Medicine (14%).

Life Sciences: 20 works · 43.5% of their workNeuroscience: 11 works · 23.9% of their workCognitive Neuroscience: 7 works · 16.3% of their workCellular and Molecular Neuroscience: 3 works · 7.6% of their workBiochemistry, Genetics and Molecular Biology: 9 works · 19.6% of their workMolecular Biology: 9 works · 19.6% of their workEverything else: 17 works · 36.9% of their workHealth Sciences: 6 works · 14.2% of their workMedicine: 6 works · 14.2% of their workCardiology and Cardiovascular Medicine: 5 works · 10.9% of their workPhysiology: 1 works · 3.3% of their workPhysical Sciences: 2 works · 5.4% of their workComputer Science: 2 works · 5.4% of their workArtificial Intelligence: 2 works · 5.4% of their workTHEIR WORKJulia Sprenger45works
Life Sciences44%Physical Sciences5%Health Sciences14%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Neuroscience1123.9%
    2. Biochemistry, Genetics and Molecular Biology919.6%
  2. Everything else1736.9%
    1. Medicine614.2%
    1. Computer Science25.4%
  1. 1Molecular Biology20% of their works
  2. 2Cognitive Neuroscience16% of their works
  3. 3Cardiology and Cardiovascular Medicine11% of their works
  4. 4Cellular and Molecular Neuroscience8% of their works
  5. 5Artificial Intelligence5% of their works
  6. 6Physiology3% of their works

Research topics

Which keywords describe Julia Sprenger's research?

The keywords of their largest research topics: cAMP Signaling, Cyclic Nucleotide Phosphodiesterases, Arrhythmias, Long-QT Syndrome, Brain-Computer Interfaces, EEG Analysis, Crystal Structure and G-Protein-Coupled Receptors.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 16 words, with their numbers
  1. Cyclic Nucleotide Phosphodiesterases101 topic
  2. cAMP Signaling101 topic
  3. Arrhythmias81 topic
  4. Long-QT Syndrome81 topic
  5. Brain-Computer Interfaces71 topic
  6. EEG Analysis71 topic
  7. Crystal Structure61 topic
  8. G-Protein-Coupled Receptors61 topic
  9. Electrode Arrays51 topic
  10. Neural Stimulation51 topic
  11. Cortical Networks41 topic
  12. Neuronal Oscillations41 topic
  13. Endothelial Dysfunction31 topic
  14. Functional Connectivity31 topic
  15. Nitric Oxide31 topic
  16. Resting-State fMRI31 topic

Where does Julia Sprenger work?

Julia Sprenger's main affiliation in the publication record is University of Göttingen, Germany.

How many publications and citations does Julia Sprenger have?

OpenAlex counts 45 works and 945 citations for Julia Sprenger, an h-index of 14, ranking #1,386,021 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

Discussion

Ask a question or share a note about Julia Sprenger. Posts are plain text and can be reported.