Jörg Schaarschmidt

1.8k total citations · 1 hit paper
23 papers, 852 citations indexed

About

Jörg Schaarschmidt is a scholar working on Molecular Biology, Materials Chemistry and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Jörg Schaarschmidt has authored 23 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Materials Chemistry and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Jörg Schaarschmidt's work include Protein Structure and Dynamics (7 papers), Receptor Mechanisms and Signaling (6 papers) and Thyroid Disorders and Treatments (5 papers). Jörg Schaarschmidt is often cited by papers focused on Protein Structure and Dynamics (7 papers), Receptor Mechanisms and Signaling (6 papers) and Thyroid Disorders and Treatments (5 papers). Jörg Schaarschmidt collaborates with scholars based in Germany, Netherlands and United States. Jörg Schaarschmidt's co-authors include Alexandre M. J. J. Bonvin, Mikaël Trellet, Panagiotis I. Koukos, Andriy Kryshtafovych, Bohdan Monastyrskyy, Anna Vangone, Li C. Xue, Cunliang Geng, Jorge Roel‐Touris and Adrien S. J. Melquiond and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and PLoS ONE.

In The Last Decade

Jörg Schaarschmidt

21 papers receiving 843 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.

The HADDOCK2.4 web server for integrative modeling of biomolecular complexes

2024 142 citations Rodrigo V. Honorato, Mikaël Trellet et al. Nature Protocols profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jörg Schaarschmidt Germany	13	560	136	127	71	66	23	852
Cristina Marino‐Buslje Argentina	22	901 1.6×	125 0.9×	99 0.8×	24 0.3×	71 1.1×	60	1.2k
Shafinaz F. Chowdhury Canada	14	465 0.8×	43 0.3×	104 0.8×	31 0.4×	64 1.0×	21	850
Chunhua Li China	17	808 1.4×	49 0.4×	137 1.1×	22 0.3×	54 0.8×	116	1.1k
Nils Woetzel United States	12	556 1.0×	147 1.1×	89 0.7×	15 0.2×	42 0.6×	16	754
Peter Haebel Germany	16	832 1.5×	236 1.7×	61 0.5×	78 1.1×	36 0.5×	24	1.1k
Charles David New Zealand	7	600 1.1×	67 0.5×	194 1.5×	22 0.3×	80 1.2×	14	995
Ana Lígia Scott Brazil	12	321 0.6×	80 0.6×	149 1.2×	22 0.3×	49 0.7×	35	588
Yeng‐Tseng Wang Taiwan	16	413 0.7×	129 0.9×	39 0.3×	38 0.5×	22 0.3×	67	847
Christoph Gille Germany	17	937 1.7×	87 0.6×	52 0.4×	26 0.4×	77 1.2×	45	1.5k
Koto Hayakawa Canada	12	789 1.4×	147 1.1×	88 0.7×	30 0.4×	50 0.8×	21	1.0k

Countries citing papers authored by Jörg Schaarschmidt

Since Specialization

Citations

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

Fields of papers citing papers by Jörg Schaarschmidt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörg Schaarschmidt

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

All Works

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20 of 20 papers shown

Janßen, Jan, Janine George, Marnik Bercx, et al.. (2025). A python workflow definition for computational materials design. Digital Discovery. 4(11). 3149–3161.

Schilling, Markus, Sebastian Bruns, Jörg Schaarschmidt, et al.. (2024). Seamless Science: Lifting Experimental Mechanical Testing Lab Data to an Interoperable Semantic Representation. Advanced Engineering Materials. 27(8).

Honorato, Rodrigo V., Mikaël Trellet, Brian Jiménez‐García, et al.. (2024). The HADDOCK2.4 web server for integrative modeling of biomolecular complexes. Nature Protocols. 19(11). 3219–3241. 142 indexed citations breakdown →

Rêgo, Celso R. C., Jörg Schaarschmidt, Tobias Schlöder, et al.. (2022). SimStack: An Intuitive Workflow Framework. Frontiers in Materials. 9. 21 indexed citations

Schaarschmidt, Jörg, Jie Yuan, Timo Strunk, et al.. (2021). Workflow Engineering in Materials Design within the BATTERY 2030+ Project. Advanced Energy Materials. 12(17). 33 indexed citations

Arenas, Jesús, et al.. (2019). Substrate specificity of the pyrophosphohydrolase LpxH determines the asymmetry of Bordetella pertussis lipid A. Journal of Biological Chemistry. 294(20). 7982–7989. 5 indexed citations

Koukos, Panagiotis I., Jorge Roel‐Touris, Francesco Ambrosetti, et al.. (2019). An overview of data‐driven HADDOCK strategies in CAPRI rounds 38‐45. Proteins Structure Function and Bioinformatics. 88(8). 1029–1036. 13 indexed citations

Broekema, Marjoleine F., Maarten P.G. Massink, Cinzia Donato, et al.. (2018). Natural helix 9 mutants of PPARγ differently affect its transcriptional activity. Molecular Metabolism. 20. 115–127. 14 indexed citations

Vangone, Anna, Jörg Schaarschmidt, Panagiotis I. Koukos, et al.. (2018). Large-scale prediction of binding affinity in protein–small ligand complexes: the PRODIGY-LIG web server. Bioinformatics. 35(9). 1585–1587. 172 indexed citations

10.

Moreira, Irina S., Panagiotis I. Koukos, Rita Melo, et al.. (2017). SpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots. Scientific Reports. 7(1). 8007–8007. 61 indexed citations

11.

Kurkcuoglu, Zeynep, Panagiotis I. Koukos, Mikaël Trellet, et al.. (2017). Performance of HADDOCK and a simple contact-based protein–ligand binding affinity predictor in the D3R Grand Challenge 2. Journal of Computer-Aided Molecular Design. 32(1). 175–185. 100 indexed citations

12.

Schaarschmidt, Jörg, Bohdan Monastyrskyy, Andriy Kryshtafovych, & Alexandre M. J. J. Bonvin. (2017). Assessment of contact predictions in CASP12: Co‐evolution and deep learning coming of age. Proteins Structure Function and Bioinformatics. 86(S1). 51–66. 125 indexed citations

13.

Schaarschmidt, Jörg, Holger Jaeschke, Rocco Moretti, et al.. (2016). Rearrangement of the Extracellular Domain/Extracellular Loop 1 Interface Is Critical for Thyrotropin Receptor Activation. Journal of Biological Chemistry. 291(27). 14095–14108. 16 indexed citations

14.

Zundert, Gydo C. P. van, Mikaël Trellet, Jörg Schaarschmidt, et al.. (2016). The DisVis and PowerFit Web Servers: Explorative and Integrative Modeling of Biomolecular Complexes. Journal of Molecular Biology. 429(3). 399–407. 39 indexed citations

15.

Eszlinger, Markus, Marek Niedziela, Holger Jaeschke, et al.. (2014). Somatic mutations in 33 benign and malignant hot thyroid nodules in children and adolescents. Molecular and Cellular Endocrinology. 393(1-2). 39–45. 27 indexed citations

16.

Jaeschke, Holger, Jörg Schaarschmidt, Markus Eszlinger, et al.. (2014). A Newly Discovered TSHR Variant (L665F) Associated With Nonautoimmune Hyperthyroidism in an Austrian Family Induces Constitutive TSHR Activation by Steric Repulsion Between TM1 and TM7. The Journal of Clinical Endocrinology & Metabolism. 99(10). E2051–E2059. 8 indexed citations

17.

Schaarschmidt, Jörg, et al.. (2014). Influence of the Hinge Region and Its Adjacent Domains on Binding and Signaling Patterns of the Thyrotropin and Follitropin Receptor. PLoS ONE. 9(10). e111570–e111570. 20 indexed citations

18.

Schaarschmidt, Jörg, et al.. (2012). The Leipzig Thyrotropin Receptor Mutation Database: Update 2012. European Thyroid Journal. 1(3). 209–210. 8 indexed citations

19.

Schaarschmidt, Jörg, et al.. (2011). Conversion of a decarboxylating to a non-decarboxylating glutaryl-coenzyme A dehydrogenase by site-directed mutagenesis. FEBS Letters. 585(9). 1317–1321. 11 indexed citations

20.

Jaeschke, Holger, Jörg Schaarschmidt, Robert Günther, & Sandra Mueller. (2011). The Hinge Region of the TSH Receptor Stabilizes Ligand Binding and Determines Different Signaling Profiles of Human and Bovine TSH. Endocrinology. 152(10). 3986–3996. 12 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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