Michael G. Hanna

1.0k total citations
20 papers, 641 citations indexed

About

Michael G. Hanna is a scholar working on Cell Biology, Molecular Biology and Physiology. According to data from OpenAlex, Michael G. Hanna has authored 20 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cell Biology, 14 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Michael G. Hanna's work include Cellular transport and secretion (15 papers), Endoplasmic Reticulum Stress and Disease (9 papers) and Lipid Membrane Structure and Behavior (8 papers). Michael G. Hanna is often cited by papers focused on Cellular transport and secretion (15 papers), Endoplasmic Reticulum Stress and Disease (9 papers) and Lipid Membrane Structure and Behavior (8 papers). Michael G. Hanna collaborates with scholars based in United States, Slovakia and Armenia. Michael G. Hanna's co-authors include Anjon Audhya, Pietro De Camilli, Andrés Guillén-Samander, Lei Wang, Amber L. Schuh, Adam Johnson, Marianna Leonzino, Hongying Shen, Marisa S. Otegui and Elisa B. Frankel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Michael G. Hanna

20 papers receiving 641 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael G. Hanna United States 13 436 344 88 69 57 20 641
Amber L. Schuh United States 12 490 1.1× 468 1.4× 91 1.0× 109 1.6× 68 1.2× 15 785
David C. Gershlick United Kingdom 17 479 1.1× 458 1.3× 93 1.1× 47 0.7× 81 1.4× 26 789
Brant M. Webster United States 8 589 1.4× 392 1.1× 61 0.7× 69 1.0× 72 1.3× 9 770
Dalia Halawani United States 10 390 0.9× 208 0.6× 61 0.7× 86 1.2× 108 1.9× 16 627
Kai‐En Chen Australia 13 387 0.9× 265 0.8× 96 1.1× 31 0.4× 44 0.8× 24 546
Francisco Lázaro‐Diéguez Spain 16 524 1.2× 507 1.5× 97 1.1× 132 1.9× 105 1.8× 22 887
Sai Srinivas Panapakkam Giridharan United States 13 510 1.2× 505 1.5× 103 1.2× 94 1.4× 56 1.0× 18 764
Severino Urban Germany 6 398 0.9× 244 0.7× 39 0.4× 56 0.8× 72 1.3× 6 607
Silvia Brambillasca Italy 11 519 1.2× 269 0.8× 37 0.4× 46 0.7× 42 0.7× 13 684
Jennifer H. Lumb United Kingdom 9 332 0.8× 167 0.5× 47 0.5× 101 1.5× 55 1.0× 10 568

Countries citing papers authored by Michael G. Hanna

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Hanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Hanna. 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 Michael G. Hanna. The network helps show where Michael G. Hanna may publish in the future.

Co-authorship network of co-authors of Michael G. Hanna

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Hanna. A scholar is included among the top collaborators of Michael G. Hanna 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 Michael G. Hanna. Michael G. Hanna 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
1.
Hanna, Michael G., Yumei Wu, C. Shan Xu, et al.. (2025). BLTP3A is associated with membranes of the late endocytic pathway and is an effector of CASM. The EMBO Journal. 44(21). 6168–6195. 1 indexed citations
2.
Uğur, Berrak, Florian Schueder, Jimann Shin, et al.. (2024). VPS13B is localized at the interface between Golgi cisternae and is a functional partner of FAM177A1. The Journal of Cell Biology. 223(12). 6 indexed citations
3.
Hanna, Michael G., et al.. (2023). The Sar1 GTPase is dispensable for COPII-dependent cargo export from the ER. Cell Reports. 42(6). 112635–112635. 13 indexed citations
4.
Hanna, Michael G., Andrés Guillén-Samander, & Pietro De Camilli. (2023). RBG Motif Bridge-Like Lipid Transport Proteins: Structure, Functions, and Open Questions. Annual Review of Cell and Developmental Biology. 39(1). 409–434. 48 indexed citations
5.
Hanna, Michael G., et al.. (2022). SHIP164 is a chorein motif lipid transfer protein that controls endosome–Golgi membrane traffic. The Journal of Cell Biology. 221(6). 21 indexed citations
6.
7.
Hanna, Michael G., et al.. (2022). SHIP164 is a Chorein Motif Lipid Transfer Protein that Controls Endosome‐Golgi Membrane Traffic. The FASEB Journal. 36(S1). 1 indexed citations
8.
Guillén-Samander, Andrés, et al.. (2021). Correction: VPS13D bridges the ER to mitochondria and peroxisomes via Miro. The Journal of Cell Biology. 220(8). 7 indexed citations
9.
Guillén-Samander, Andrés, et al.. (2021). VPS13D bridges the ER to mitochondria and peroxisomes via Miro. The Journal of Cell Biology. 220(5). 116 indexed citations
10.
Schuh, Amber L., Iryna Pustova, Adam Johnson, et al.. (2018). Pathogenic TFG Mutations Underlying Hereditary Spastic Paraplegia Impair Secretory Protein Trafficking and Axon Fasciculation. Cell Reports. 24(9). 2248–2260. 24 indexed citations
11.
Jones, Jeffrey R., Linghai Kong, Michael G. Hanna, et al.. (2018). Mutations in GFAP Disrupt the Distribution and Function of Organelles in Human Astrocytes. Cell Reports. 25(4). 947–958.e4. 44 indexed citations
12.
Dahl, Peter, Michael G. Hanna, Anjon Audhya, et al.. (2018). A simple supported tubulated bilayer system for evaluating protein-mediated membrane remodeling. Chemistry and Physics of Lipids. 215. 18–28. 6 indexed citations
13.
Hanna, Michael G., Jennifer L. Peotter, Elisa B. Frankel, & Anjon Audhya. (2018). Membrane Transport at an Organelle Interface in the Early Secretory Pathway: Take Your Coat Off and Stay a While. BioEssays. 40(7). e1800004–e1800004. 27 indexed citations
14.
Ünlü, Gökhan, Peter Luo, Timothy J. Smith, et al.. (2017). Dynamic Glycosylation Governs the Vertebrate COPII Protein Trafficking Pathway. Biochemistry. 57(1). 91–107. 35 indexed citations
15.
Hanna, Michael G., Samuel Block, Elisa B. Frankel, et al.. (2017). TFG facilitates outer coat disassembly on COPII transport carriers to promote tethering and fusion with ER–Golgi intermediate compartments. Proceedings of the National Academy of Sciences. 114(37). E7707–E7716. 63 indexed citations
16.
Wang, Lei, Adam Johnson, Michael G. Hanna, & Anjon Audhya. (2016). Eps15 membrane-binding and -bending activity acts redundantly with Fcho1 during clathrin-mediated endocytosis. Molecular Biology of the Cell. 27(17). 2675–2687. 19 indexed citations
17.
Johnson, Adam, Nilakshee Bhattacharya, Michael G. Hanna, et al.. (2015). TFG clusters COPII ‐coated transport carriers and promotes early secretory pathway organization. The EMBO Journal. 34(6). 811–827. 88 indexed citations
18.
Schuh, Amber L., Michael G. Hanna, Lei Wang, et al.. (2015). The VPS-20 subunit of the endosomal sorting complex ESCRT-III exhibits an open conformation in the absence of upstream activation. Biochemical Journal. 466(3). 625–637. 17 indexed citations
19.
Shen, Qing-Tao, Amber L. Schuh, Yuqing Zheng, et al.. (2014). Structural analysis and modeling reveals new mechanisms governing ESCRT-III spiral filament assembly. The Journal of Cell Biology. 206(6). 763–777. 94 indexed citations
20.
Hanna, Michael G., Lei Wang, & Anjon Audhya. (2013). Worming Our Way In and Out of the Caenorhabditis elegans Germline and Developing Embryo. Traffic. 14(5). 471–478. 8 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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