Eva M. Schmid

2.3k total citations
21 papers, 1.7k citations indexed

About

Eva M. Schmid is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Eva M. Schmid has authored 21 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 12 papers in Cell Biology and 4 papers in Physiology. Recurrent topics in Eva M. Schmid's work include Cellular transport and secretion (11 papers), Lipid Membrane Structure and Behavior (10 papers) and Erythrocyte Function and Pathophysiology (4 papers). Eva M. Schmid is often cited by papers focused on Cellular transport and secretion (11 papers), Lipid Membrane Structure and Behavior (10 papers) and Erythrocyte Function and Pathophysiology (4 papers). Eva M. Schmid collaborates with scholars based in United States, United Kingdom and Germany. Eva M. Schmid's co-authors include Harvey T. McMahon, Daniel A. Fletcher, Jeanne C. Stachowiak, Phillip L. Geissler, Michael B. Sherman, Darryl Y. Sasaki, Christopher Ryan, Carl C. Hayden, Marijn G. J. Ford and Ian G. Mills and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Eva M. Schmid

20 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva M. Schmid United States 15 1.3k 799 181 168 164 21 1.7k
Rahul Chadda United States 16 1.4k 1.1× 767 1.0× 298 1.6× 187 1.1× 169 1.0× 27 1.8k
Pranav Sharma United States 13 1.5k 1.2× 725 0.9× 274 1.5× 113 0.7× 180 1.1× 18 2.0k
Michał Biśta United States 17 1.5k 1.2× 921 1.2× 105 0.6× 163 1.0× 171 1.0× 20 2.5k
Andrey A. Bobkov United States 23 1.1k 0.9× 1.1k 1.4× 106 0.6× 119 0.7× 131 0.8× 61 2.3k
Marija Vrljic United States 17 1.3k 1.1× 598 0.7× 161 0.9× 186 1.1× 174 1.1× 19 1.7k
Leslie D. Burtnick Canada 24 961 0.8× 992 1.2× 125 0.7× 138 0.8× 105 0.6× 60 2.0k
Karine Gousset United States 15 1.5k 1.2× 471 0.6× 339 1.9× 233 1.4× 273 1.7× 23 2.4k
Valérie Chambon France 11 1.4k 1.1× 839 1.1× 287 1.6× 115 0.7× 288 1.8× 14 1.9k
Defne Yarar United States 16 1.4k 1.1× 1.5k 1.9× 255 1.4× 111 0.7× 121 0.7× 27 2.3k
Adam T. Hammond United States 16 1.9k 1.5× 824 1.0× 243 1.3× 294 1.8× 179 1.1× 18 2.3k

Countries citing papers authored by Eva M. Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Eva M. Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva M. Schmid. 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 Eva M. Schmid. The network helps show where Eva M. Schmid may publish in the future.

Co-authorship network of co-authors of Eva M. Schmid

This figure shows the co-authorship network connecting the top 25 collaborators of Eva M. Schmid. A scholar is included among the top collaborators of Eva M. Schmid 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 Eva M. Schmid. Eva M. Schmid 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.
Schmid, Eva M., et al.. (2025). Identification of relevant analytical methods for adeno-associated virus stability assessment during formulation development. Microbiology Spectrum. 13(8). e0180624–e0180624.
2.
Suter, Emily, Eva M. Schmid, Andrew R. Harris, et al.. (2021). Antibody:CD47 ratio regulates macrophage phagocytosis through competitive receptor phosphorylation. Cell Reports. 36(8). 109587–109587. 34 indexed citations
3.
García‐Cerdán, José G., Eva M. Schmid, Tomomi Takeuchi, et al.. (2020). Chloroplast Sec14-like 1 (CPSFL1) is essential for normal chloroplast development and affects carotenoid accumulation in Chlamydomonas. Proceedings of the National Academy of Sciences. 117(22). 12452–12463. 21 indexed citations
4.
Chan, Ka Man, Sungmin Son, Eva M. Schmid, & Daniel A. Fletcher. (2020). A viral fusogen hijacks the actin cytoskeleton to drive cell-cell fusion. eLife. 9. 27 indexed citations
5.
Messing, Simon, Eva M. Schmid, Jeffrey D. Clogston, et al.. (2018). Quantitative biophysical analysis defines key components modulating recruitment of the GTPase KRAS to the plasma membrane. Journal of Biological Chemistry. 294(6). 2193–2207. 31 indexed citations
6.
Bakalar, Matthew H., et al.. (2018). Size-Dependent Segregation Controls Macrophage Phagocytosis of Antibody-Opsonized Targets. Cell. 174(1). 131–142.e13. 107 indexed citations
7.
Ng, Win Pin, Kevin D. Webster, Caroline Stefani, et al.. (2017). Force-induced transcellular tunnel formation in endothelial cells. Molecular Biology of the Cell. 28(20). 2650–2660. 11 indexed citations
8.
Schmid, Eva M., Matthew H. Bakalar, Kaushik Choudhuri, et al.. (2016). Size-dependent protein segregation at membrane interfaces. Nature Physics. 12(7). 704–711. 91 indexed citations
9.
Schmid, Eva M., David Richmond, & Daniel A. Fletcher. (2015). Reconstitution of proteins on electroformed giant unilamellar vesicles. Methods in cell biology. 128. 319–338. 27 indexed citations
10.
Stachowiak, Jeanne C., Eva M. Schmid, Christopher Ryan, et al.. (2012). Protein-Protein Crowding as a Driving Force for Membrane Bending during Endocytosis. Biophysical Journal. 102(3). 322a–322a. 1 indexed citations
11.
Stachowiak, Jeanne C., Eva M. Schmid, Christopher Ryan, et al.. (2012). Membrane bending by protein–protein crowding. Nature Cell Biology. 14(9). 944–949. 419 indexed citations
12.
Ford, Marijn G. J., Eva M. Schmid, Yvonne Vallis, et al.. (2007). Solitary and Repetitive Binding Motifs for the AP2 Complex α-Appendage in Amphiphysin and Other Accessory Proteins. Journal of Biological Chemistry. 283(8). 5099–5109. 25 indexed citations
13.
Schmid, Eva M. & Harvey T. McMahon. (2007). Integrating molecular and network biology to decode endocytosis. Nature. 448(7156). 883–888. 273 indexed citations
14.
Burtey, Anne, Eva M. Schmid, Marijn G. J. Ford, et al.. (2007). The Conserved Isoleucine–Valine–Phenylalanine Motif Couples Activation State and Endocytic Functions of β‐Arrestins. Traffic. 8(7). 914–931. 29 indexed citations
15.
Schmid, Eva M., Marijn G. J. Ford, Anne Burtey, et al.. (2006). Role of the AP2 β-Appendage Hub in Recruiting Partners for Clathrin-Coated Vesicle Assembly. PLoS Biology. 4(9). e262–e262. 199 indexed citations
16.
Schmid, Eva M., et al.. (2006). Defining residues involved in human rhinovirus 2A proteinase substrate recognition. FEBS Letters. 580(24). 5713–5717. 14 indexed citations
17.
Praefcke, Gerrit J. K., Marijn G. J. Ford, Eva M. Schmid, et al.. (2004). Evolving nature of the AP2 α‐appendage hub during clathrin‐coated vesicle endocytosis. The EMBO Journal. 23(22). 4371–4383. 149 indexed citations
18.
Foeger, Nicole, Eva M. Schmid, & Tim Skern. (2003). Human Rhinovirus 2 2Apro Recognition of Eukaryotic Initiation Factor 4GI. Journal of Biological Chemistry. 278(35). 33200–33207. 14 indexed citations
19.
Klump, H., et al.. (1993). Energetics of Z-DNA formation in poly d(A-T), poly d(G-C), and poly d(A-C) poly d(G-T). Nucleic Acids Research. 21(10). 2343–2348. 29 indexed citations
20.
Franke, Werner W., Christine Gründ, Eva M. Schmid, & Eckhard Mandelkow�. (1978). Paracrystalline arrays of membrane-to-membrane cross bridges associated with the inner surface of plasma membrane. The Journal of Cell Biology. 77(2). 323–328. 13 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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