Sonja Schmid

2.7k total citations
35 papers, 1.2k citations indexed

About

Sonja Schmid is a scholar working on Molecular Biology, Epidemiology and Biomedical Engineering. According to data from OpenAlex, Sonja Schmid has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Epidemiology and 9 papers in Biomedical Engineering. Recurrent topics in Sonja Schmid's work include Neuroendocrine Tumor Research Advances (9 papers), Nanopore and Nanochannel Transport Studies (9 papers) and Advanced Fluorescence Microscopy Techniques (7 papers). Sonja Schmid is often cited by papers focused on Neuroendocrine Tumor Research Advances (9 papers), Nanopore and Nanochannel Transport Studies (9 papers) and Advanced Fluorescence Microscopy Techniques (7 papers). Sonja Schmid collaborates with scholars based in Switzerland, Netherlands and Germany. Sonja Schmid's co-authors include Cees Dekker, Paul Komminoth, Aurel Perren, Philipp U. Heitz, Alessio Fragasso, Thorsten Hugel, Parvin Saremaslani, Anja Schmitt, Martin Anlauf and Holger Moch and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Sonja Schmid

35 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
Sonja Schmid Switzerland 18 431 426 423 313 275 35 1.2k
Anna Sarnelli Italy 22 419 1.0× 386 0.9× 126 0.3× 196 0.6× 245 0.9× 93 1.4k
George Sgouros United States 25 498 1.2× 113 0.3× 216 0.5× 86 0.3× 71 0.3× 44 2.0k
Lanlan Zhou United States 22 543 1.3× 104 0.2× 749 1.8× 673 2.2× 35 0.1× 101 1.9k
Fei Kang China 25 418 1.0× 96 0.2× 386 0.9× 739 2.4× 38 0.1× 99 1.8k
Farhad Daghighian United States 20 208 0.5× 113 0.3× 261 0.6× 182 0.6× 59 0.2× 35 1.4k
Maarten Brom Netherlands 19 349 0.8× 395 0.9× 236 0.6× 100 0.3× 101 0.4× 58 1.4k
Murat Karabacak United States 12 406 0.9× 51 0.1× 518 1.2× 733 2.3× 483 1.8× 18 1.8k
Markus Adam Germany 13 186 0.4× 90 0.2× 337 0.8× 171 0.5× 70 0.3× 23 1.3k
Yann Jamin United Kingdom 23 335 0.8× 63 0.1× 632 1.5× 180 0.6× 345 1.3× 50 1.6k
Asha Balakrishnan Germany 19 133 0.3× 194 0.5× 869 2.1× 168 0.5× 38 0.1× 40 1.7k

Countries citing papers authored by Sonja Schmid

Since Specialization
Citations

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

Fields of papers citing papers by Sonja Schmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sonja Schmid

This figure shows the co-authorship network connecting the top 25 collaborators of Sonja Schmid. A scholar is included among the top collaborators of Sonja 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 Sonja Schmid. Sonja 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, Sonja. (2024). New ways to study life at the nanoscale: The neotrap, dyecycling, and more. Biophysical Journal. 123(3). 8a–8a. 1 indexed citations
2.
Wen, Chenyu, Sonja Schmid, & Cees Dekker. (2024). Understanding Electrophoresis and Electroosmosis in Nanopore Sensing with the Help of the Nanopore Electro-Osmotic Trap. ACS Nano. 18(31). 20449–20458. 8 indexed citations
3.
Schmid, Sonja, et al.. (2024). The known unknowns of the Hsp90 chaperone. eLife. 13. 11 indexed citations
4.
Schmid, Sonja. (2023). An external speed control for nanopore reads. Nature Nanotechnology. 18(11). 1261–1262. 1 indexed citations
5.
Wen, Chenyu, Eva Bertosin, Xin Shi, Cees Dekker, & Sonja Schmid. (2022). Orientation-Locked DNA Origami for Stable Trapping of Small Proteins in the Nanopore Electro-Osmotic Trap. Nano Letters. 23(3). 788–794. 20 indexed citations
6.
Schmid, Sonja, et al.. (2022). Can DyeCycling break the photobleaching limit in single-molecule FRET?. Nano Research. 15(11). 9818–9830. 16 indexed citations
7.
Schmid, Sonja, Pierre Stömmer, Hendrik Dietz, & Cees Dekker. (2021). Nanopore electro-osmotic trap for the label-free study of single proteins and their conformations. Nature Nanotechnology. 16(11). 1244–1250. 111 indexed citations
8.
Schmid, Sonja & Cees Dekker. (2021). The NEOtrap – en route with a new single-molecule technique. iScience. 24(10). 103007–103007. 13 indexed citations
9.
Fragasso, Alessio, Sonja Schmid, & Cees Dekker. (2020). Comparing Current Noise in Biological and Solid-State Nanopores. ACS Nano. 14(2). 1338–1349. 164 indexed citations
10.
Schmid, Sonja, et al.. (2019). High Bandwidth Sensing of Single Protein Dynamics using Nanopores and DNA Origami. Biophysical Journal. 116(3). 341a–342a. 1 indexed citations
11.
Schmid, Sonja, et al.. (2019). Single-Molecule Protein Fingerprinting using Nanopores. Biophysical Journal. 116(3). 316a–316a. 1 indexed citations
12.
Götz, Markus, Philipp Wortmann, Sonja Schmid, & Thorsten Hugel. (2016). A Multicolor Single-Molecule FRET Approach to Study Protein Dynamics and Interactions Simultaneously. Methods in enzymology on CD-ROM/Methods in enzymology. 581. 487–516. 17 indexed citations
13.
Schmitt, Anja, Sonja Schmid, Thomas Rudolph, et al.. (2009). VHL inactivation is an important pathway for the development of malignant sporadic pancreatic endocrine tumors. Endocrine Related Cancer. 16(4). 1219–1227. 80 indexed citations
14.
Schmitt, Anja, Martin Anlauf, Sonja Schmid, et al.. (2008). Islet 1 (Isl1) Expression is a Reliable Marker for Pancreatic Endocrine Tumors and Their Metastases. The American Journal of Surgical Pathology. 32(3). 420–425. 105 indexed citations
15.
Schmitt, Anja, Martin Anlauf, Valentin Rousson, et al.. (2007). WHO 2004 Criteria and CK19 are Reliable Prognostic Markers in Pancreatic Endocrine Tumors. The American Journal of Surgical Pathology. 31(11). 1677–1682. 98 indexed citations
16.
Korpershoek, Esther, Bart‐Jeroen Petri, Francien H. van Nederveen, et al.. (2007). Candidate gene mutation analysis in bilateral adrenal pheochromocytoma and sympathetic paraganglioma. Endocrine Related Cancer. 14(2). 453–462. 30 indexed citations
17.
Montani, Maura, Anja Schmitt, Sonja Schmid, et al.. (2005). No mutations but an increased frequency of SDHx polymorphisms in patients with sporadic and familial medullary thyroid carcinoma. Endocrine Related Cancer. 12(4). 1011–1016. 15 indexed citations
18.
Brändle, Michael, Paul Komminoth, Parvin Saremaslani, et al.. (2004). A Novel Succinate Dehydrogenase Subunit B Gene Mutation, H132P, Causes Familial Malignant Sympathetic Extraadrenal Paragangliomas. The Journal of Clinical Endocrinology & Metabolism. 89(1). 362–367. 21 indexed citations
19.
20.
Barghorn, André, Ernst‐Jan M. Speel, Parvin Saremaslani, et al.. (2001). Putative Tumor Suppressor Loci at 6q22 and 6q23-q24 Are Involved in the Malignant Progression of Sporadic Endocrine Pancreatic Tumors. American Journal Of Pathology. 158(6). 1903–1911. 70 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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