Carla Schmidt

6.1k total citations
105 papers, 3.9k citations indexed

About

Carla Schmidt is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Carla Schmidt has authored 105 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Molecular Biology, 38 papers in Spectroscopy and 16 papers in Materials Chemistry. Recurrent topics in Carla Schmidt's work include Mass Spectrometry Techniques and Applications (32 papers), Lipid Membrane Structure and Behavior (21 papers) and Advanced Proteomics Techniques and Applications (20 papers). Carla Schmidt is often cited by papers focused on Mass Spectrometry Techniques and Applications (32 papers), Lipid Membrane Structure and Behavior (21 papers) and Advanced Proteomics Techniques and Applications (20 papers). Carla Schmidt collaborates with scholars based in Germany, United Kingdom and United States. Carla Schmidt's co-authors include T. E. Thompson, Henning Urlaub, Carol V. Robinson, Dov Lichtenberg, Miroslav Nikolov, Y. Barenholz, L. Claes, Anita Ignatius, Philip L. Felgner and Argyris Politis and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Carla Schmidt

97 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carla Schmidt Germany 35 2.7k 874 375 357 326 105 3.9k
Thomas M. Marti Switzerland 47 3.4k 1.3× 802 0.9× 404 1.1× 392 1.1× 366 1.1× 146 6.9k
Toru Kawanishi Japan 31 2.1k 0.8× 312 0.4× 243 0.6× 349 1.0× 208 0.6× 173 3.6k
Jonathan Boyd United Kingdom 31 2.6k 1.0× 1.0k 1.2× 474 1.3× 825 2.3× 178 0.5× 126 4.5k
Ichio Shimada Japan 45 4.8k 1.8× 819 0.9× 548 1.5× 655 1.8× 212 0.7× 253 6.5k
Wayne F. Patton United States 39 3.5k 1.3× 2.1k 2.4× 473 1.3× 252 0.7× 427 1.3× 114 5.2k
John S. Philo United States 33 3.2k 1.2× 385 0.4× 407 1.1× 475 1.3× 320 1.0× 80 4.4k
Thomas J. D. Jørgensen Denmark 42 3.3k 1.2× 3.1k 3.5× 397 1.1× 456 1.3× 269 0.8× 110 6.6k
Weontae Lee South Korea 34 2.6k 1.0× 414 0.5× 550 1.5× 484 1.4× 142 0.4× 156 4.1k
Zenon Grabarek United States 34 3.4k 1.3× 316 0.4× 581 1.5× 457 1.3× 326 1.0× 70 4.9k
Ronghu Wu United States 33 2.2k 0.8× 1.4k 1.6× 234 0.6× 323 0.9× 530 1.6× 108 3.7k

Countries citing papers authored by Carla Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Carla Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carla Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Carla Schmidt. A scholar is included among the top collaborators of Carla Schmidt 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 Carla Schmidt. Carla Schmidt 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.
Hellmann, Nadja, Dale O. Kiesewetter, J. W. Bieber, et al.. (2025). Membrane binding of a cyanobacterial ESCRT ‐ III protein crucially involves the helix α 1‐3 hairpin conserved in all superfamily members. Protein Science. 34(12). e70387–e70387. 1 indexed citations
2.
Hofmann, Tommy, et al.. (2024). MS SIEVE –Pushing the Limits for Biomolecular Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 36(1). 91–99. 1 indexed citations
3.
Bender, Julian, et al.. (2024). Aqueous Ionic Liquid Mixtures as Minimal Models of Lipid Bilayer Membranes. ACS Biomaterials Science & Engineering. 10(8). 4802–4811.
4.
Kyrilis, Fotis L., Farzad Hamdi, Christian Tüting, et al.. (2024). Disorder-to-order active site capping regulates the rate-limiting step of the inositol pathway. Proceedings of the National Academy of Sciences. 121(34). e2400912121–e2400912121.
5.
6.
Schmidt, Carla, et al.. (2023). Mass spectrometry uncovers intermediates and off-pathway complexes for SNARE complex assembly. Communications Biology. 6(1). 198–198. 7 indexed citations
7.
Devant, Pascal, Silvia Panizza, Tasos Gogakos, et al.. (2021). Assembly defects of human tRNA splicing endonuclease contribute to impaired pre-tRNA processing in pontocerebellar hypoplasia. Nature Communications. 12(1). 5610–5610. 29 indexed citations
8.
Liu, Yu, et al.. (2020). Polydisperse molecular architecture of connexin 26/30 heteromeric hemichannels revealed by atomic force microscopy imaging. Journal of Biological Chemistry. 295(49). 16499–16509. 6 indexed citations
9.
Hofmann, Tommy & Carla Schmidt. (2019). Instrument response of phosphatidylglycerol lipids with varying fatty acyl chain length in nano-ESI shotgun experiments. Chemistry and Physics of Lipids. 223. 104782–104782. 4 indexed citations
10.
Schmidt, Carla, et al.. (2019). Mass spectrometry—A versatile tool for characterising the lipid environment of membrane protein assemblies. Chemistry and Physics of Lipids. 221. 145–157. 24 indexed citations
11.
Lau, Andy M., Chloé Martens, Zainab Ahdash, et al.. (2019). Structural basis of Cullin 2 RING E3 ligase regulation by the COP9 signalosome. Nature Communications. 10(1). 3814–3814. 43 indexed citations
12.
Degiacomi, Matteo T., Carla Schmidt, Andrew J. Baldwin, & Justin L. P. Benesch. (2017). Accommodating Protein Dynamics in the Modeling of Chemical Crosslinks. Structure. 25(11). 1751–1757.e5. 34 indexed citations
13.
Liko, Idlir, Matteo T. Degiacomi, Shabaz Mohammed, et al.. (2016). Dimer interface of bovine cytochrome c oxidase is influenced by local posttranslational modifications and lipid binding. Proceedings of the National Academy of Sciences. 113(29). 8230–8235. 36 indexed citations
14.
15.
Burton, Rebecca A.B., Hege E. Larsen, Holger Kramer, et al.. (2014). Spatiotemporal Transitions in Cardiac Neuronal Co-Cultures. Biophysical Journal. 106(2). 630a–630a.
16.
Schmidt, Carla & Carol V. Robinson. (2014). A comparative cross-linking strategy to probe conformational changes in protein complexes. Nature Protocols. 9(9). 2224–2236. 88 indexed citations
17.
18.
Gerdes, Christian, Monika Patre, Valeria Nicolini, et al.. (2008). GA201, a novel humanized, glycoengineered EGFR antibody with enhanced ADCC and superior in vivo efficacy in xenograft models. Cancer Research. 68. 3973–3973. 3 indexed citations
19.
Schmidt, Carla, Daniela Kaspar, Michael R. Sarkar, L. Claes, & Anita Ignatius. (2002). A scanning electron microscopy study of human osteoblast morphology on five orthopedic metals. Journal of Biomedical Materials Research. 63(3). 252–261. 61 indexed citations
20.
Schmidt, Carla, Anita Ignatius, & L. Claes. (2000). Proliferation and differentiation parameters of human osteoblasts on titanium and steel surfaces. Journal of Biomedical Materials Research. 54(2). 209–215. 96 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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