Julia Münch

405 total citations
7 papers, 200 citations indexed

About

Julia Münch is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Infectious Diseases. According to data from OpenAlex, Julia Münch has authored 7 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 1 paper in Infectious Diseases. Recurrent topics in Julia Münch's work include Viral Infections and Immunology Research (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Bioeconomy and Sustainability Development (1 paper). Julia Münch is often cited by papers focused on Viral Infections and Immunology Research (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Bioeconomy and Sustainability Development (1 paper). Julia Münch collaborates with scholars based in Germany, Sweden and Denmark. Julia Münch's co-authors include Axel Rethwilm, Jacques Rohayem, Elisabeth Krämer, Frederik Flenner, Sandra D. Laufer, Charles Redwood, Oliver J. Müller, Arne Hansen, Aya Shibamiya and Monica Patten and has published in prestigious journals such as Journal of Virology, PLoS Computational Biology and Molecular Therapy — Nucleic Acids.

In The Last Decade

Julia Münch

7 papers receiving 193 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Julia Münch Germany	6	92	79	65	43	28	7	200
Yangyi Zhang China	8	47 0.5×	56 0.7×	22 0.3×	39 0.9×	16 0.6×	26	189
Tammy C. T. Lan United States	5	39 0.4×	238 3.0×	62 1.0×	15 0.3×	18 0.6×	7	316
Amelia K. Haj United States	7	19 0.2×	67 0.8×	101 1.6×	35 0.8×	45 1.6×	12	207
Alexis Bouin United States	8	143 1.6×	85 1.1×	124 1.9×	14 0.3×	29 1.0×	15	288
Zening Yang China	9	73 0.8×	81 1.0×	64 1.0×	10 0.2×	5 0.2×	13	194
Zhiwen Jiang China	6	20 0.2×	26 0.3×	47 0.7×	38 0.9×	23 0.8×	16	112
Jacob Kames United States	7	22 0.2×	142 1.8×	64 1.0×	16 0.4×	24 0.9×	10	218
David D. Holcomb United States	7	21 0.2×	135 1.7×	64 1.0×	16 0.4×	26 0.9×	11	207
Gagandeep Singh United States	8	20 0.2×	21 0.3×	57 0.9×	50 1.2×	21 0.8×	24	131
Rafael de Cesaris Araujo Tavares United States	5	55 0.6×	226 2.9×	127 2.0×	35 0.8×	10 0.4×	7	322

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-authorship network of co-authors of Julia Münch

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Münch. A scholar is included among the top collaborators of Julia Münch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Julia Münch. Julia Münch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

Levit‐Zerdoun, Ella, et al.. (2022). PI3K/AKT signaling allows for MAPK/ERK pathway independency mediating dedifferentiation-driven treatment resistance in melanoma. Cell Communication and Signaling. 20(1). 187–187. 23 indexed citations

Domenzain, Iván, et al.. (2021). A novel yeast hybrid modeling framework integrating Boolean and enzyme-constrained networks enables exploration of the interplay between signaling and metabolism. PLoS Computational Biology. 17(4). e1008891–e1008891. 21 indexed citations

Prondzynski, Maksymilian, Elisabeth Krämer, Sandra D. Laufer, et al.. (2017). Evaluation of MYBPC3 trans -Splicing and Gene Replacement as Therapeutic Options in Human iPSC-Derived Cardiomyocytes. Molecular Therapy — Nucleic Acids. 7. 475–486. 71 indexed citations

Münch, Julia, Ralf Matthias Hagen, Dorothea Wiemer, et al.. (2017). Colonization with multidrug-resistant bacteria — on the efficiency of local decolonization procedures. European Journal of Microbiology and Immunology. 7(2). 99–111. 5 indexed citations

Bringezu, Stefan, Helmut Schütz, Philipp Schepelmann, et al.. (2009). Nachhaltige Flächennutzung und nachwachsende Rohstoffe : Optionen einer nachhaltigen Flächennutzung und Ressourcenschutzstrategien unter besonderer Berücksichtigung der nachhaltigen Versorgung mit nachwachsenden Rohstoffen. Publication Server of the Wuppertal Institute (Wuppertal Institute). 2 indexed citations

Fischedick, Manfred, Katrin Bienge, Justus von Geibler, et al.. (2007). Sozial-ökologische Bewertung der stationären energetischen Nutzung von importierten Biokraftstoffen am Beispiel von Palmöl : Endbericht. Publication Server of the Wuppertal Institute (Wuppertal Institute). 6 indexed citations

Rohayem, Jacques, Julia Münch, & Axel Rethwilm. (2005). Evidence of Recombination in the Norovirus Capsid Gene. Journal of Virology. 79(8). 4977–4990. 72 indexed citations

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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