Julia Münch

405 citations
7 papers · 200 · h-index 6

Impact in

Papers in

Julia Münch

7 papers receiving 193 citations

Peers

Julia Münch
Comparison fields: 5 of 58
  • Animal Science and Zoology 43
  • Cardiology and Cardiovascular Medicine 92
  • Infectious Diseases 65
  • Molecular Biology 79
  • Genetics 28
Replace Yangyi Zhang with:
Yangyi Zhang China
Alexis Bouin United States
Zhenzhi Han China
Jacob Kames United States
Rafael de Cesaris Araujo Tavares United States
Amelia K. Haj United States
Eric Lorenzo United States
Tammy C. T. Lan United States
David D. Holcomb United States
Ilias Stefas France
Julia Münch relative to Yangyi Zhang China Yangyi Zhang's profile →
Citations per field
00.5×3.0×
Yangyi Zhang · 1×
Citations per year

Countries citing papers authored by Julia Münch

Since Specialization
Citations

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

Fields of papers citing papers by Julia Münch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 200572
2 201771
3 202223
4 202121
5
Sozial-ökologische Bewertung der stationären energetischen Nutzung von importierten Biokraftstoffen am Beispiel von Palmöl : Endbericht
20076
6 20175
7
Nachhaltige Flächennutzung und nachwachsende Rohstoffe : Optionen einer nachhaltigen Flächennutzung und Ressourcenschutzstrategien unter besonderer Berücksichtigung der nachhaltigen Versorgung mit nachwachsenden Rohstoffen
20092

About Julia Münch

Julia Münch is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Infectious Diseases, Pollution and Animal Science and Zoology, having authored 7 papers that have together received 200 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (2 papers), Cutaneous Melanoma Detection and Management (1 paper), Energy and Environment Impacts (1 paper), Bacillus and Francisella bacterial research (1 paper), Animal Virus Infections Studies (1 paper), Melanoma and MAPK Pathways (1 paper), Biofuel production and bioconversion (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Animal Science and Zoology (43 citations), Cardiology and Cardiovascular Medicine (92 citations), Infectious Diseases (65 citations), Molecular Biology (79 citations) and Genetics (28 citations). Julia Münch has collaborated with scholars based in Germany, Sweden and United Kingdom. Frequent co-authors include Jacques Rohayem, Axel Rethwilm, Frederik Flenner, Monica Patten, Elisabeth Krämer, Sandra D. Laufer, Thomas Eschenhagen, Aya Shibamiya, Maksymilian Prondzynski and Ole Pleß. Their work appears in journals such as PLoS Computational Biology, Journal of Virology, Cell Communication and Signaling, Molecular Therapy — Nucleic Acids and European Journal of Microbiology and Immunology.

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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