Dina Schuster

522 total citations · 1 hit paper
14 papers, 216 citations indexed

About

Dina Schuster is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Dina Schuster has authored 14 papers receiving a total of 216 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Spectroscopy. Recurrent topics in Dina Schuster's work include Connexins and lens biology (4 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Dina Schuster is often cited by papers focused on Connexins and lens biology (4 papers), Yersinia bacterium, plague, ectoparasites research (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Dina Schuster collaborates with scholars based in Switzerland, United Kingdom and Russia. Dina Schuster's co-authors include Paola Picotti, Volodymyr M. Korkhov, Lukas Janker, Oliver M. Crook, Rex Devasahayam Arokia Balaya, Norbert Volkmar, Emma H. Doud, Katharina Rebay‐Salisbury, Nicholas M. Riley and Adrian D. Hegeman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Dina Schuster

14 papers receiving 213 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Comprehensive Overview of Bottom-Up Proteomics Using Mass Spectrometry

2024 56 citations Yuming Jiang, Rex Devasahayam Arokia Balaya et al. SHILAP Revista de lepidopterología profile →

Peers

Countries citing papers authored by Dina Schuster

Since Specialization

Citations

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

Fields of papers citing papers by Dina Schuster

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dina Schuster

This figure shows the co-authorship network connecting the top 25 collaborators of Dina Schuster. A scholar is included among the top collaborators of Dina Schuster 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 Dina Schuster. Dina Schuster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Mechanism of connexin channel inhibition by mefloquine and 2-aminoethoxydiphenyl borate 2024 ·PLoS ONE ·(unknown), Yufei Han, (unknown), Dina Schuster, Chao Qi, (unknown), Paola Picotti, Volodymyr M. Korkhov	2
2	Systematic identification of structure-specific protein–protein interactions 2024 ·Molecular Systems Biology ·(unknown), Dina Schuster, Fabian Sesterhenn, Alison K. Gillingham, (unknown), Walther Haenseler, Inigo Barrio‐Hernandez, Dhiman Ghosh, Jane Vowles, Sally A. Cowley, (unknown), (unknown), Tetiana Serdiuk, Pedro Beltrão, Volodymyr M. Korkhov, Sean Munro, Roland Riek, Natalie de Souza, Paola Picotti	13
3	Regulatory sites of CaM-sensitive adenylyl cyclase AC8 revealed by cryo-EM and structural proteomics 2024 ·EMBO Reports ·(unknown), Dina Schuster, (unknown), Federico Uliana, (unknown), (unknown), Alexander Leitner, Paola Picotti, Volodymyr M. Korkhov	9
4	Protein-Centric Analysis of Personalized Antibody Repertoires Using LC-MS-Based Fab-Profiling on a timsTOF 2024 ·Journal of the American Society for Mass Spectrometry ·(unknown), Dina Schuster, (unknown), Stuart Pengelley, Markus Lubeck, Florian Büsch, Andris Jankevics, Oliver Raether, Jean‐François Greisch, Albert J. R. Heck	1
5	Comprehensive Overview of Bottom-Up Proteomics Using Mass Spectrometry breakdown → 2024 ·SHILAP Revista de lepidopterología ·Yuming Jiang, Rex Devasahayam Arokia Balaya, Dina Schuster, Benjamin A. Neely, Germán L. Rosano, Norbert Volkmar, (unknown), Trenton M. Peters-Clarke, Susan Egbert, Simion Kreimer, Emma H. Doud, Oliver M. Crook, Amit Kumar Yadav, Muralidharan Vanuopadath, Adrian D. Hegeman, (unknown), (unknown), Nicholas M. Riley, Robert L. Moritz, Jesse G. Meyer	56
6	Structural basis of calmodulin modulation of the rod cyclic nucleotide-gated channel 2023 ·Proceedings of the National Academy of Sciences ·(unknown), Dina Schuster, (unknown), Alexander Leitner, Paola Picotti, Gebhard F. X. Schertler, U. Benjamin Kaupp, Volodymyr M. Korkhov, Jacopo Marino	11
7	Structural insights into membrane adenylyl cyclases, initiators of cAMP signaling 2023 ·Trends in Biochemical Sciences ·Dina Schuster, (unknown), (unknown), (unknown), Volodymyr M. Korkhov	5
8	Multiomics-empowered Deep Phenotyping of Ulcerative Colitis Identifies Biomarker Signatures Reporting Functional Remission States 2023 ·Journal of Crohn s and Colitis ·Lukas Janker, Dina Schuster, (unknown), (unknown), Samuel M. Meier, Thomas Mohr, Johanna C. Mader, Astrid Slany, Andrea Bileck, (unknown), Christian Madl, Lukas Unger, (unknown), (unknown), Giorgia Del Favero, Dietmar Pils, Tobias Pukrop, Nikolaus Pfisterer, T Feichtenschlager, Christopher Gerner	12
9	Structure of the connexin-43 gap junction channel in a putative closed state 2023 ·eLife ·Chao Qi, Silvia Acosta‐Gutiérrez, (unknown), Alaa Othman, (unknown), (unknown), Dina Schuster, Paola Picotti, Nicola Zamboni, Mario Bortolozzi, Francesco Luigi Gervasio, Volodymyr M. Korkhov	12
10	Structure of the connexin-43 gap junction channel in a putative closed state 2023 ·eLife ·Chao Qi, Silvia Acosta‐Gutiérrez, (unknown), Alaa Othman, (unknown), (unknown), Dina Schuster, Paola Picotti, Nicola Zamboni, Mario Bortolozzi, Francesco Luigi Gervasio, Volodymyr M. Korkhov	15
11	Structures of wild-type and selected CMT1X mutant connexin 32 gap junction channels and hemichannels 2023 ·Science Advances ·Chao Qi, (unknown), (unknown), (unknown), Dina Schuster, Micaela Pannella, (unknown), Paola Picotti, Mario Bortolozzi, Volodymyr M. Korkhov	8
12	Structure of Mycobacterium tuberculosis Cya, an evolutionary ancestor of the mammalian membrane adenylyl cyclases 2022 ·eLife ·(unknown), (unknown), Dina Schuster, (unknown), Irene Vercellino, (unknown), (unknown), Saša Štefanić, Paola Picotti, Volodymyr M. Korkhov	10
13	protti: an R package for comprehensive data analysis of peptide- and protein-centric bottom-up proteomics data 2021 ·Bioinformatics Advances ·(unknown), Dina Schuster, Paola Picotti	38
14	Child murder in the Early Bronze Age: proteomic sex identification of a cold case from Schleinbach, Austria 2020 ·Archaeological and Anthropological Sciences ·Katharina Rebay‐Salisbury, Lukas Janker, Doris Pany‐Kucera, Dina Schuster, (unknown), (unknown), Roderick B. Salisbury, Fabian Kanz	24

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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