Georg Ramm

11.7k total citations · 2 hit papers
77 papers, 4.8k citations indexed

About

Georg Ramm is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Georg Ramm has authored 77 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 15 papers in Cell Biology and 14 papers in Epidemiology. Recurrent topics in Georg Ramm's work include Metabolism, Diabetes, and Cancer (14 papers), Advanced Electron Microscopy Techniques and Applications (8 papers) and Cellular transport and secretion (8 papers). Georg Ramm is often cited by papers focused on Metabolism, Diabetes, and Cancer (14 papers), Advanced Electron Microscopy Techniques and Applications (8 papers) and Cellular transport and secretion (8 papers). Georg Ramm collaborates with scholars based in Australia, United States and Netherlands. Georg Ramm's co-authors include David E. James, Mark Larance, Viola Oorschot, Benjamin Scott Padman, Michael Guilhaus, Michael Lazarou, Thanh Ngoc Nguyen, Markus Bach, Yvonne Ng and Cordula Hohnen-Behrens and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Georg Ramm

73 papers receiving 4.8k citations

Hit Papers

Interleukin-6 Increases I... 2006 2026 2012 2019 2006 2016 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Georg Ramm 2.6k 1.5k 954 923 702 77 4.8k
Michelangelo Foti 3.7k 1.4× 1.5k 1.0× 1.1k 1.2× 724 0.8× 673 1.0× 109 7.1k
Christopher J. Clarke 3.4k 1.3× 1.5k 1.0× 776 0.8× 716 0.8× 344 0.5× 125 6.4k
Wanda K. O’Neal 3.1k 1.2× 663 0.5× 733 0.8× 959 1.0× 410 0.6× 117 7.3k
Roberto Solari 2.9k 1.1× 484 0.3× 806 0.8× 895 1.0× 550 0.8× 83 6.4k
Eric J. Sorscher 4.2k 1.6× 918 0.6× 804 0.8× 965 1.0× 531 0.8× 199 10.0k
Kate J. Heesom 2.9k 1.1× 492 0.3× 1.2k 1.3× 681 0.7× 390 0.6× 156 5.4k
Michael Koval 4.5k 1.8× 432 0.3× 958 1.0× 821 0.9× 586 0.8× 158 8.1k
Rebecca C. Taylor 4.0k 1.6× 2.1k 1.4× 1.1k 1.1× 919 1.0× 971 1.4× 37 7.5k
James F. Collawn 4.0k 1.6× 674 0.5× 1.7k 1.7× 764 0.8× 435 0.6× 144 7.6k
Heike Grassmé 4.8k 1.9× 600 0.4× 710 0.7× 1.2k 1.3× 206 0.3× 77 6.4k

Countries citing papers authored by Georg Ramm

Since Specialization
Citations

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

Fields of papers citing papers by Georg Ramm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Ramm

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Ramm. A scholar is included among the top collaborators of Georg Ramm 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 Georg Ramm. Georg Ramm 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.
Venugopal, Hariprasad, Jesse I. Mobbs, Cyntia Taveneau, et al.. (2025). High-resolution cryo-EM using a common LaB 6 120-keV electron microscope equipped with a sub–200-keV direct electron detector. Science Advances. 11(1). eadr0438–eadr0438.
3.
Botella, Javier, Enrico Perri, Nikeisha J. Caruana, et al.. (2025). Sprint interval exercise disrupts mitochondrial ultrastructure driving a unique mitochondrial stress response and remodelling in men. Nature Communications. 17(1). 71–71.
4.
Gorelick, Sergey, et al.. (2025). Mind the corner: Fillets in cryo-FIB lamella preparation to minimise sample loss caused by stress concentration and lamella breakage. Journal of Structural Biology. 217(4). 108249–108249.
5.
Crawford, Simon, et al.. (2024). Mitochondrial abnormalities contribute to muscle weakness in a Dnajb6 deficient zebrafish model. Human Molecular Genetics. 33(14). 1195–1206. 1 indexed citations
6.
Hall, Pam, Adam Costin, Simon Crawford, et al.. (2023). Removal of the endothelial surface layer via hyaluronidase does not modulate monocyte and neutrophil interactions with the glomerular endothelium. Microcirculation. 30(7). e12823–e12823. 1 indexed citations
7.
Trépout, Sylvain, et al.. (2023). An introduction to scanning transmission electron microscopy for the study of protozoans. Molecular Microbiology. 121(4). 659–670. 6 indexed citations
9.
Arumugam, Senthil, Rajendra Gurung, Matthew J. Eramo, et al.. (2022). Endosome maturation links PI3Kα signaling to lysosome repopulation during basal autophagy. The EMBO Journal. 41(19). e110398–e110398. 25 indexed citations
10.
Gurung, Rajendra, et al.. (2022). Autophagic lysosome reformation in health and disease. Autophagy. 19(5). 1378–1395. 61 indexed citations
11.
Ivanova, Elena P., Denver P. Linklater, Arturo Aburto‐Medina, et al.. (2021). Antifungal versus antibacterial defence of insect wings. Journal of Colloid and Interface Science. 603. 886–897. 39 indexed citations
12.
Horne, Christopher R., Hariprasad Venugopal, Santosh Panjikar, et al.. (2021). Mechanism of NanR gene repression and allosteric induction of bacterial sialic acid metabolism. Nature Communications. 12(1). 1988–1988. 22 indexed citations
13.
Quinn, Kylie M., Tabinda Hussain, Felix Kraus, et al.. (2020). Metabolic characteristics of CD8+ T cell subsets in young and aged individuals are not predictive of functionality. Nature Communications. 11(1). 2857–2857. 38 indexed citations
14.
Lee, Jae Young, Viola Oorschot, Georg Ramm, et al.. (2019). Limiting Neuronal Nogo Receptor 1 Signaling during Experimental Autoimmune Encephalomyelitis Preserves Axonal Transport and Abrogates Inflammatory Demyelination. Journal of Neuroscience. 39(28). 5562–5580. 13 indexed citations
15.
Pang, Siew Siew, Charles Bayly-Jones, Mazdak Radjainia, et al.. (2019). The cryo-EM structure of the acid activatable pore-forming immune effector Macrophage-expressed gene 1. Nature Communications. 10(1). 4288–4288. 62 indexed citations
16.
Deo, Pankaj, Seong Hoong Chow, Iain D. Hay, et al.. (2018). Outer membrane vesicles from Neisseria gonorrhoeae target PorB to mitochondria and induce apoptosis. PLoS Pathogens. 14(3). e1006945–e1006945. 112 indexed citations
17.
Nguyen, Thanh Ngoc, et al.. (2016). Atg8 family LC3/GABARAP proteins are crucial for autophagosome–lysosome fusion but not autophagosome formation during PINK1/Parkin mitophagy and starvation. The Journal of Cell Biology. 215(6). 857–874. 493 indexed citations breakdown →
18.
Dyson, Jennifer M., Sarah E. Conduit, Sandra J. Feeney, et al.. (2016). INPP5E regulates phosphoinositide-dependent cilia transition zone function. The Journal of Cell Biology. 216(1). 247–263. 87 indexed citations
19.
Wee, Janet L., Keith E. Schulze, Qiang Cheng, et al.. (2015). Tetraspanin CD37 Regulates β2 Integrin–Mediated Adhesion and Migration in Neutrophils. The Journal of Immunology. 195(12). 5770–5779. 30 indexed citations
20.
Ramm, Georg, Jan W. Slot, David E. James, & Willem Stoorvogel. (2000). Insulin Recruits GLUT4 from Specialized VAMP2-carrying Vesicles as well as from the Dynamic Endosomal/Trans-Golgi Network in Rat Adipocytes.. Molecular Biology of the Cell. 11(12). 4079–4091. 65 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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