Andrew B. Munkacsi

839 total citations
32 papers, 594 citations indexed

About

Andrew B. Munkacsi is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Andrew B. Munkacsi has authored 32 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Cell Biology and 7 papers in Physiology. Recurrent topics in Andrew B. Munkacsi's work include Lysosomal Storage Disorders Research (7 papers), Plant and animal studies (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). Andrew B. Munkacsi is often cited by papers focused on Lysosomal Storage Disorders Research (7 papers), Plant and animal studies (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). Andrew B. Munkacsi collaborates with scholars based in United States, New Zealand and Japan. Andrew B. Munkacsi's co-authors include Stephen L. Sturley, Georgiana May, Natalie Hammond, David J. McLaughlin, Katsumi Higaki, Robert A. Keyzers, Ulrich G. Mueller, Palle Villesen, Lisa J. Wilcox and Jean J. Pan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cell Metabolism.

In The Last Decade

Andrew B. Munkacsi

28 papers receiving 581 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew B. Munkacsi United States 15 214 136 134 126 109 32 594
Shalome A. Bassett New Zealand 14 412 1.9× 116 0.9× 62 0.5× 79 0.6× 186 1.7× 27 746
Nelia M. Gerez de Burgos Argentina 15 258 1.2× 176 1.3× 70 0.5× 54 0.4× 21 0.2× 28 747
Shuqiang Liu China 18 516 2.4× 58 0.4× 36 0.3× 59 0.5× 48 0.4× 59 959
Anna‐Lena Gustavsson Sweden 15 366 1.7× 26 0.2× 23 0.2× 102 0.8× 48 0.4× 29 732
J.J. Blum United States 17 314 1.5× 75 0.6× 51 0.4× 89 0.7× 29 0.3× 43 715
Patrick A. Vigueira United States 12 260 1.2× 25 0.2× 23 0.2× 98 0.8× 50 0.5× 19 524
Erwan Beauchamp Canada 16 425 2.0× 127 0.9× 149 1.1× 113 0.9× 10 0.1× 33 774
Ghows Azzam Malaysia 20 748 3.5× 92 0.7× 25 0.2× 166 1.3× 17 0.2× 46 1.1k
Spencer C. Brown France 10 319 1.5× 196 1.4× 34 0.3× 28 0.2× 33 0.3× 12 545
Sider Penkov Germany 13 224 1.0× 64 0.5× 13 0.1× 116 0.9× 75 0.7× 20 615

Countries citing papers authored by Andrew B. Munkacsi

Since Specialization
Citations

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

Fields of papers citing papers by Andrew B. Munkacsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew B. Munkacsi. 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 Andrew B. Munkacsi. The network helps show where Andrew B. Munkacsi may publish in the future.

Co-authorship network of co-authors of Andrew B. Munkacsi

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew B. Munkacsi. A scholar is included among the top collaborators of Andrew B. Munkacsi 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 Andrew B. Munkacsi. Andrew B. Munkacsi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Lange, Peter J. de, et al.. (2023). Comparison of chemical profiles of Kānuka (Kunzea robusta de Lange & Toelken, Myrtaceae) essential oils. Phytochemistry Letters. 56. 50–56. 1 indexed citations
3.
Atkinson, Paul H., et al.. (2023). Network Analysis Reveals the Molecular Bases of Statin Pleiotropy That Vary with Genetic Background. Microbiology Spectrum. 11(2). e0414822–e0414822. 1 indexed citations
5.
Rustam, Yepy H., Michael S. Jackson, Vern L. Schramm, et al.. (2023). Phosphoinositide and redox dysregulation by the anticancer methylthioadenosine phosphorylase transition state inhibitor. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1868(9). 159346–159346.
7.
Kost‐Alimova, Maria, Kumiko Ayukawa, Carol Khodier, et al.. (2022). Phenotypic Screening for Small Molecules that Protect β-Cells from Glucolipotoxicity. ACS Chemical Biology. 17(5). 1131–1142. 3 indexed citations
8.
Patel, Vimal, David Gresham, Darach Miller, et al.. (2021). Functional genomics and metabolomics advance the ethnobotany of the Samoan traditional medicine “matalafi”. Proceedings of the National Academy of Sciences. 118(45). 10 indexed citations
9.
Benucci, Gian Maria Niccolò, et al.. (2020). Evidence for Co-evolutionary History of Early Diverging Lycopodiaceae Plants With Fungi. Frontiers in Microbiology. 10. 2944–2944. 17 indexed citations
10.
Sturley, Stephen L., Natalie Hammond, Katsumi Higaki, et al.. (2020). Potential COVID-19 therapeutics from a rare disease: weaponizing lipid dysregulation to combat viral infectivity. Journal of Lipid Research. 61(7). 972–982. 39 indexed citations
11.
Hammond, Natalie, Andrew B. Munkacsi, & Stephen L. Sturley. (2019). The complexity of a monogenic neurodegenerative disease: More than two decades of therapeutic driven research into Niemann-Pick type C disease. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1864(8). 1109–1123. 43 indexed citations
12.
Munkacsi, Andrew B., et al.. (2018). Phylogenetic affinities and in vitro seed germination of the threatened New Zealand orchid Spiranthes novae‐zelandiae. New Zealand Journal of Botany. 56(1). 91–108. 9 indexed citations
13.
Munkacsi, Andrew B., et al.. (2017). Exacerbating and reversing lysosomal storage diseases: from yeast to humans. Microbial Cell. 4(9). 278–293. 8 indexed citations
14.
Baty, James W., Michael V. Berridge, Andrew B. Munkacsi, et al.. (2016). N,N-Bis(glycityl)amines as anti-cancer drugs. Bioorganic & Medicinal Chemistry. 24(17). 3932–3939. 5 indexed citations
15.
Munkacsi, Andrew B., Natalie Hammond, Remy T. Schneider, et al.. (2016). Normalization of Hepatic Homeostasis in the Npc1 Mouse Model of Niemann-Pick Type C Disease Treated with the Histone Deacetylase Inhibitor Vorinostat. Journal of Biological Chemistry. 292(11). 4395–4410. 26 indexed citations
16.
Field, Jessica J., et al.. (2016). Polyhalogenated Indoles from the Red Alga Rhodophyllis membranacea: The First Isolation of Bromo-Chloro-Iodo Secondary Metabolites. Journal of Natural Products. 79(3). 463–469. 24 indexed citations
17.
Ruggles, Kelly V., Jeanne Garbarino, Ying Liu, et al.. (2013). A Functional, Genome-wide Evaluation of Liposensitive Yeast Identifies the “RE2 Required for Viability” (ARV1) Gene Product as a Major Component of Eukaryotic Fatty Acid Resistance. Journal of Biological Chemistry. 289(7). 4417–4431. 29 indexed citations
18.
Munkacsi, Andrew B., Peter G. Pentchev, & Stephen L. Sturley. (2009). Spreading the Wealth: Niemann-Pick Type C Proteins Bind and Transport Cholesterol. Cell Metabolism. 10(1). 3–4. 3 indexed citations
19.
Dentinger, Bryn T. M., D. Jean Lodge, Andrew B. Munkacsi, Dennis E. Desjardin, & David J. McLaughlin. (2009). PHYLOGENETIC PLACEMENT OF AN UNUSUAL CORAL MUSHROOM CHALLENGES THE CLASSIC HYPOTHESIS OF STRICT COEVOLUTION IN THEAPTEROSTIGMA PILOSUMGROUP ANT-FUNGUS MUTUALISM. Evolution. 63(8). 2172–2178. 22 indexed citations
20.
Munkacsi, Andrew B., et al.. (2007). DOMESTICATION OF MAIZE, SORGHUM, AND SUGARCANE DID NOT DRIVE THE DIVERGENCE OF THEIR SMUT PATHOGENS. Evolution. 61(2). 388–403. 34 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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