Clara T. Schoeder

1.1k total citations
41 papers, 680 citations indexed

About

Clara T. Schoeder is a scholar working on Molecular Biology, Pharmacology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Clara T. Schoeder has authored 41 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 10 papers in Pharmacology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Clara T. Schoeder's work include Cannabis and Cannabinoid Research (10 papers), Receptor Mechanisms and Signaling (10 papers) and Pharmacological Receptor Mechanisms and Effects (7 papers). Clara T. Schoeder is often cited by papers focused on Cannabis and Cannabinoid Research (10 papers), Receptor Mechanisms and Signaling (10 papers) and Pharmacological Receptor Mechanisms and Effects (7 papers). Clara T. Schoeder collaborates with scholars based in Germany, United States and Poland. Clara T. Schoeder's co-authors include Christa E. Müller, Jens Meiler, Cornelius Heß, Burkhard Madea, Thanigaimalai Pillaiyar, Katarzyna Kieć‐Kononowicz, Carlos A. Saura, Rafael Franco, David Aguinaga and Irene Reyes‐Resina and has published in prestigious journals such as Angewandte Chemie International Edition, Nature Communications and Journal of Molecular Biology.

In The Last Decade

Clara T. Schoeder

36 papers receiving 678 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clara T. Schoeder Germany 15 284 277 191 170 56 41 680
Scott E. Lazerwith United States 11 362 1.3× 465 1.7× 148 0.8× 98 0.6× 9 0.2× 14 1.1k
Clara Albani Argentina 14 127 0.4× 180 0.6× 51 0.3× 39 0.2× 8 0.1× 30 556
Dzmitry Mukha Belarus 11 336 1.2× 194 0.7× 35 0.2× 32 0.2× 15 0.3× 19 680
Shanthi Nagarajan United States 11 206 0.7× 33 0.1× 77 0.4× 55 0.3× 36 0.6× 22 385
Ludovica Morera Italy 10 354 1.2× 103 0.4× 62 0.3× 20 0.1× 8 0.1× 10 584
Liyi Geng United States 16 370 1.3× 226 0.8× 76 0.4× 14 0.1× 19 0.3× 23 714
Marco Migliore United States 12 148 0.5× 184 0.7× 46 0.2× 31 0.2× 5 0.1× 19 469
Ramesh Gujjar United States 11 416 1.5× 204 0.7× 64 0.3× 37 0.2× 8 0.1× 12 928
Joel W. Proksch United States 18 330 1.2× 140 0.5× 110 0.6× 40 0.2× 4 0.1× 38 766

Countries citing papers authored by Clara T. Schoeder

Since Specialization
Citations

This map shows the geographic impact of Clara T. Schoeder'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 Clara T. Schoeder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara T. Schoeder more than expected).

Fields of papers citing papers by Clara T. Schoeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Clara T. Schoeder. 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 Clara T. Schoeder. The network helps show where Clara T. Schoeder may publish in the future.

Co-authorship network of co-authors of Clara T. Schoeder

This figure shows the co-authorship network connecting the top 25 collaborators of Clara T. Schoeder. A scholar is included among the top collaborators of Clara T. Schoeder 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 Clara T. Schoeder. Clara T. Schoeder 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.
2.
Kalwa, Hermann, Leonard Kaysser, Clara T. Schoeder, et al.. (2025). Development and functionality analysis of lipoplex-loaded polysaccharide-based surface coatings for local nucleic acid delivery. International Journal of Pharmaceutics. 673. 125330–125330. 1 indexed citations
3.
Schmidt, Maria, Carolyn J. Schultz, Henry Loeffler‐Wirth, et al.. (2025). Single‐cell transcriptomics and epigenomics point to CD58‐CD2 interaction in controlling primary melanoma growth and immunity. Cancer Communications. 45(4). 465–470.
4.
Schmidt, Caroline, M. Büttner, Clara T. Schoeder, et al.. (2025). Inkjet printing of lipoplexes: A feasibility study. Applied Materials Today. 44. 102699–102699.
5.
Bellmann‐Sickert, Kathrin, et al.. (2025). Unraveling the molecular basis of substrate specificity and halogen activation in vanadium-dependent haloperoxidases. Nature Communications. 16(1). 2083–2083. 3 indexed citations
6.
Moretti, Rocco, et al.. (2025). Self-supervised machine learning methods for protein design improve sampling but not the identification of high-fitness variants. Science Advances. 11(7). eadr7338–eadr7338. 6 indexed citations
7.
Barden, Markus, Árpád Szöőr, Dennis Christoph Harrer, et al.. (2024). Integrating binding affinity and tonic signaling enables a rational CAR design for augmented T cell function. Journal for ImmunoTherapy of Cancer. 12(12). e010208–e010208. 5 indexed citations
8.
Mulligan, Vikram Khipple, Jack B. Maguire, Sergey Lyskov, et al.. (2024). Combining machine learning with structure-based protein design to predict and engineer post-translational modifications of proteins. PLoS Computational Biology. 20(3). e1011939–e1011939. 12 indexed citations
9.
Peter, Antonia Sophia, et al.. (2024). Strategies of rational and structure-driven vaccine design for Arenaviruses. Infection Genetics and Evolution. 123. 105626–105626. 1 indexed citations
10.
McDonald, Eli Fritz, et al.. (2023). Computational modeling and prediction of deletion mutants. Structure. 31(6). 713–723.e3. 7 indexed citations
11.
Meiler, Jens, et al.. (2023). Interplay of thermodynamics and evolution within the ternary ligand-GPCR-G protein complex. Current Opinion in Structural Biology. 82. 102656–102656. 2 indexed citations
12.
Hardet, Romain, Andreas Schneider, Florian W. R. Vondran, et al.. (2023). Modifying immune responses to adeno-associated virus vectors by capsid engineering. Molecular Therapy — Methods & Clinical Development. 30. 576–592. 17 indexed citations
13.
McDonald, Eli Fritz, Shannon T. Smith, Min‐Soo Kim, et al.. (2022). Structural Comparative Modeling of Multi-Domain F508del CFTR. Biomolecules. 12(3). 471–471. 11 indexed citations
14.
Schoeder, Clara T., Pavlo Gilchuk, Amandeep K. Sangha, et al.. (2022). Epitope-focused immunogen design based on the ebolavirus glycoprotein HR2-MPER region. PLoS Pathogens. 18(5). e1010518–e1010518. 8 indexed citations
15.
Schoeder, Clara T., et al.. (2021). RosettaCM for antibodies with very long HCDR3s and low template availability. Proteins Structure Function and Bioinformatics. 89(11). 1458–1472. 2 indexed citations
16.
Schoeder, Clara T., et al.. (2021). Ligand-binding and -scavenging of the chemerin receptor GPR1. Cellular and Molecular Life Sciences. 78(17-18). 6265–6281. 17 indexed citations
17.
Schoeder, Clara T., et al.. (2020). Discovery of Tricyclic Xanthines as Agonists of the Cannabinoid-Activated Orphan G-Protein-Coupled Receptor GPR18. ACS Medicinal Chemistry Letters. 11(10). 2024–2031. 21 indexed citations
18.
Roatsch, Martin, Clara T. Schoeder, Alexandra Hamacher, et al.. (2020). Hydroxamic Acids Immobilized on Resins (HAIRs): Synthesis of Dual‐Targeting HDAC Inhibitors and HDAC Degraders (PROTACs). Angewandte Chemie International Edition. 59(50). 22494–22499. 50 indexed citations
19.
Reyes‐Resina, Irene, Gemma Navarro, David Aguinaga, et al.. (2018). Molecular and functional interaction between GPR18 and cannabinoid CB2 G-protein-coupled receptors. Relevance in neurodegenerative diseases. Biochemical Pharmacology. 157. 169–179. 58 indexed citations
20.
Fuchs, Alexander, Roland Baur, Clara T. Schoeder, Erwin Sigel, & Christa E. Müller. (2014). Structural analogues of the natural products magnolol and honokiol as potent allosteric potentiators of GABAA receptors. Bioorganic & Medicinal Chemistry. 22(24). 6908–6917. 23 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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