Carsten Mim

1.6k total citations
23 papers, 1.2k citations indexed

About

Carsten Mim is a scholar working on Molecular Biology, Cell Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Carsten Mim has authored 23 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Cell Biology and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Carsten Mim's work include Cellular transport and secretion (8 papers), Lipid Membrane Structure and Behavior (5 papers) and Force Microscopy Techniques and Applications (3 papers). Carsten Mim is often cited by papers focused on Cellular transport and secretion (8 papers), Lipid Membrane Structure and Behavior (5 papers) and Force Microscopy Techniques and Applications (3 papers). Carsten Mim collaborates with scholars based in Sweden, United States and Germany. Carsten Mim's co-authors include Vinzenz M. Unger, Gregory A. Voth, Edward Lyman, Houqing Yu, Andreas Matouschek, Sucharita Bhattacharyya, Haosheng Cui, Christof Grewer, Adam Frost and Poonam Balani and has published in prestigious journals such as Cell, Nature Communications and Nature Reviews Molecular Cell Biology.

In The Last Decade

Carsten Mim

22 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carsten Mim Sweden 14 870 513 161 126 108 23 1.2k
Gertrude Bunt Germany 17 904 1.0× 526 1.0× 177 1.1× 115 0.9× 59 0.5× 22 1.4k
Elmar Behrmann Germany 17 1.1k 1.2× 425 0.8× 159 1.0× 67 0.5× 93 0.9× 28 1.4k
Juha Saarikangas Finland 11 1.0k 1.2× 856 1.7× 103 0.6× 127 1.0× 81 0.8× 21 1.5k
Stéphane Vassilopoulos France 23 979 1.1× 904 1.8× 184 1.1× 229 1.8× 49 0.5× 42 1.6k
Pranav Sharma United States 13 1.5k 1.7× 725 1.4× 119 0.7× 274 2.2× 110 1.0× 18 2.0k
Christopher M. Johnson United Kingdom 19 943 1.1× 642 1.3× 113 0.7× 77 0.6× 38 0.4× 33 1.3k
Terukazu Nogi Japan 20 1.0k 1.2× 470 0.9× 327 2.0× 121 1.0× 72 0.7× 43 1.6k
Zhiqun Xi United States 14 748 0.9× 438 0.9× 115 0.7× 59 0.5× 125 1.2× 21 1.0k
Il‐Hyung Lee United States 11 695 0.8× 389 0.8× 119 0.7× 117 0.9× 40 0.4× 26 980
Ankur Jain United States 15 1.7k 1.9× 380 0.7× 192 1.2× 110 0.9× 55 0.5× 23 2.1k

Countries citing papers authored by Carsten Mim

Since Specialization
Citations

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

Fields of papers citing papers by Carsten Mim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carsten Mim

This figure shows the co-authorship network connecting the top 25 collaborators of Carsten Mim. A scholar is included among the top collaborators of Carsten Mim 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 Carsten Mim. Carsten Mim 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.
Wang, Junjie, et al.. (2025). A metastasis‐associated pannexin‐1 mutant (Panx1 1‐89 ) forms a minimalist ATP release channel. FEBS Journal. 292(13). 3378–3396.
2.
Mamand, Doste R., Dara K. Mohammad, Xiuming Liang, et al.. (2024). Extracellular vesicles originating from melanoma cells promote dysregulation in haematopoiesis as a component of cancer immunoediting. Journal of Extracellular Vesicles. 13(7). e12471–e12471. 6 indexed citations
3.
Biler, Michal, Carsten Mim, Mathias Kvick, et al.. (2023). Silk Assembly against Hydrophobic Surfaces─Modeling and Imaging of Formation of Nanofibrils. ACS Applied Bio Materials. 6(3). 1011–1018. 8 indexed citations
4.
Kerr, Alastair G., Na Wang, Kelvin H. M. Kwok, et al.. (2022). The long noncoding RNA ADIPINT regulates human adipocyte metabolism via pyruvate carboxylase. Nature Communications. 13(1). 2958–2958. 22 indexed citations
5.
Arruda, Lucas C. M., Arwen Stikvoort, Mélanie Lambert, et al.. (2022). A novel CD34-specific T-cell engager efficiently depletes acute myeloid leukemia and leukemic stem cells <i>in vitro</i> and <i>in vivo</i>. Haematologica. 107(8). 1786–1795. 7 indexed citations
6.
7.
Mim, Carsten, et al.. (2021). Optimizing purification of the peripheral membrane protein FAM92A1 fused to a modified spidroin tag. Protein Expression and Purification. 189. 105992–105992. 5 indexed citations
8.
Mim, Carsten, et al.. (2021). Coming of Age: Cryo-Electron Tomography as a Versatile Tool to Generate High-Resolution Structures at Cellular/Biological Interfaces. International Journal of Molecular Sciences. 22(12). 6177–6177. 6 indexed citations
9.
Arruda, Lucas C. M., Liqing Jin, Mélanie Lambert, et al.. (2021). A Novel CD34-Specific T-Cell Engager Efficiently Depletes Stem Cells and Acute Myeloid Leukemia Cells in Vitro and In Vivo. Blood. 138(Supplement 1). 2861–2861. 1 indexed citations
10.
Guez-Haddad, Julia, Avraham Yaron, Moshe Dessau, et al.. (2020). Structural basis for SARM1 inhibition and activation under energetic stress. eLife. 9. 84 indexed citations
11.
Guez-Haddad, Julia, et al.. (2019). Structural Evidence for an Octameric Ring Arrangement of SARM1. Journal of Molecular Biology. 431(19). 3591–3605. 53 indexed citations
12.
Morgan, David, et al.. (2019). Cells Control BIN1-Mediated Membrane Tubulation by Altering the Membrane Charge. Journal of Molecular Biology. 432(4). 1235–1250. 10 indexed citations
13.
Bhattacharyya, Sucharita, Houqing Yu, Carsten Mim, & Andreas Matouschek. (2014). Regulated protein turnover: snapshots of the proteasome in action. Nature Reviews Molecular Cell Biology. 15(2). 122–133. 183 indexed citations
14.
Simunovic, Mijo, Carsten Mim, Thomas C. Marlovits, et al.. (2013). Protein-Mediated Transformation of Lipid Vesicles into Tubular Networks. Biophysical Journal. 105(3). 711–719. 64 indexed citations
15.
Cui, Haosheng, et al.. (2013). Understanding the Role of Amphipathic Helices in N-BAR Domain Driven Membrane Remodeling. Biophysical Journal. 104(2). 404–411. 70 indexed citations
16.
Mim, Carsten, Haosheng Cui, Adam Frost, et al.. (2012). Structural Basis of Membrane Bending by the N-BAR Protein Endophilin. Cell. 149(1). 137–145. 181 indexed citations
17.
Mim, Carsten & Vinzenz M. Unger. (2012). Membrane curvature and its generation by BAR proteins. Trends in Biochemical Sciences. 37(12). 526–533. 223 indexed citations
18.
Ayton, Gary S., Edward Lyman, Vinod Krishna, et al.. (2009). New Insights into BAR Domain-Induced Membrane Remodeling. Biophysical Journal. 97(6). 1616–1625. 64 indexed citations
19.
Mim, Carsten, Zhen Tao, & Christof Grewer. (2007). Two Conformational Changes Are Associated with Glutamate Translocation by the Glutamate Transporter EAAC1. Biochemistry. 46(31). 9007–9018. 28 indexed citations
20.
Mim, Carsten, Poonam Balani, Thomas Rauen, & Christof Grewer. (2005). The Glutamate Transporter Subtypes EAAT4 and EAATs 1-3 Transport Glutamate with Dramatically Different Kinetics and Voltage Dependence but Share a Common Uptake Mechanism. The Journal of General Physiology. 126(6). 571–589. 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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