Lydia Wachsmuth

2.1k total citations
50 papers, 1.2k citations indexed

About

Lydia Wachsmuth is a scholar working on Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging and Cognitive Neuroscience. According to data from OpenAlex, Lydia Wachsmuth has authored 50 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 16 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Cognitive Neuroscience. Recurrent topics in Lydia Wachsmuth's work include Neural dynamics and brain function (11 papers), Neuroscience and Neuropharmacology Research (9 papers) and Advanced MRI Techniques and Applications (9 papers). Lydia Wachsmuth is often cited by papers focused on Neural dynamics and brain function (11 papers), Neuroscience and Neuropharmacology Research (9 papers) and Advanced MRI Techniques and Applications (9 papers). Lydia Wachsmuth collaborates with scholars based in Germany, Netherlands and France. Lydia Wachsmuth's co-authors include Cornelius Faber, Franziska Albers, Florian Schmid, R. Raiss, Thomas Aigner, Albrecht Stroh, Miriam Schwalm, Sven Hermann, Thoralf Niendorf and Davide Santoro and has published in prestigious journals such as Nano Letters, NeuroImage and Annals of Neurology.

In The Last Decade

Lydia Wachsmuth

50 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
Lydia Wachsmuth Germany 21 257 253 227 158 153 50 1.2k
Martin Griebe Germany 27 305 1.2× 262 1.0× 161 0.7× 147 0.9× 52 0.3× 64 2.0k
Enricomaria Mormina Italy 24 491 1.9× 223 0.9× 163 0.7× 133 0.8× 89 0.6× 67 1.4k
He Zhu China 22 327 1.3× 141 0.6× 227 1.0× 78 0.5× 54 0.4× 70 1.6k
Lukas Pirpamer Austria 19 452 1.8× 192 0.8× 151 0.7× 289 1.8× 128 0.8× 56 1.8k
Bo‐Young Choe South Korea 20 437 1.7× 157 0.6× 302 1.3× 70 0.4× 168 1.1× 95 1.4k
Rob P.W. Rouhl Netherlands 22 177 0.7× 171 0.7× 338 1.5× 294 1.9× 93 0.6× 73 1.8k
Yuhao Huang Taiwan 19 229 0.9× 175 0.7× 204 0.9× 141 0.9× 33 0.2× 60 1.3k
Tracy D. Farr Germany 24 191 0.7× 188 0.7× 267 1.2× 447 2.8× 44 0.3× 46 1.5k
Sam R. Miller United Kingdom 21 386 1.5× 108 0.4× 181 0.8× 30 0.2× 116 0.8× 37 1.6k

Countries citing papers authored by Lydia Wachsmuth

Since Specialization
Citations

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

Fields of papers citing papers by Lydia Wachsmuth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lydia Wachsmuth

This figure shows the co-authorship network connecting the top 25 collaborators of Lydia Wachsmuth. A scholar is included among the top collaborators of Lydia Wachsmuth 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 Lydia Wachsmuth. Lydia Wachsmuth 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.
Wachsmuth, Lydia, et al.. (2024). Epilepsy-related functional brain network alterations are already present at an early age in the GAERS rat model of genetic absence epilepsy. Frontiers in Neurology. 15. 1355862–1355862. 2 indexed citations
2.
Walter, Carolin, Natalia Moreno, Marc Hotfilder, et al.. (2023). A Carboxy-terminal Smarcb1 Point Mutation Induces Hydrocephalus Formation and Affects AP-1 and Neuronal Signalling Pathways in Mice. Cellular and Molecular Neurobiology. 43(7). 3511–3526. 4 indexed citations
3.
Wachsmuth, Lydia, et al.. (2023). Disentangling the impact of cerebrospinal fluid formation and neuronal activity on solute clearance from the brain. Fluids and Barriers of the CNS. 20(1). 43–43. 4 indexed citations
4.
Gerwing, Mirjam, Uwe Hansen, Katharina Kronenberg, et al.. (2023). Vascular response patterns to targeted therapies in murine breast cancer models with divergent degrees of malignancy. Breast Cancer Research. 25(1). 56–56. 8 indexed citations
5.
Gerwing, Mirjam, Stephan Niland, Max Masthoff, et al.. (2023). Profiling specific cell populations within the inflammatory tumor microenvironment by oscillating-gradient diffusion-weighted MRI. Journal for ImmunoTherapy of Cancer. 11(3). e006092–e006092. 14 indexed citations
6.
7.
Masthoff, Max, Lisa Zondler, Lydia Wachsmuth, et al.. (2021). Resolving immune cells with patrolling behaviour by magnetic resonance time-lapse single cell tracking. EBioMedicine. 73. 103670–103670. 11 indexed citations
8.
Wachsmuth, Lydia, Mingyue Zhang, Evgeni Ponimaskin, et al.. (2021). Brain microstructural changes in mice persist in adulthood and are modulated by the palmitoyl acyltransferase ZDHHC7. European Journal of Neuroscience. 54(6). 5951–5967. 11 indexed citations
9.
Hohoff, Christa, Mingyue Zhang, Evgeni Ponimaskin, et al.. (2021). Acute stress reveals different impacts in male and female Zdhhc7-deficient mice. Brain Structure and Function. 226(5). 1613–1626. 6 indexed citations
10.
Cerina, Manuela, Muthuraman Muthuraman, Nabin Koirala, et al.. (2020). Myelination- and immune-mediated MR-based brain network correlates. Journal of Neuroinflammation. 17(1). 186–186. 12 indexed citations
11.
Albers, Franziska, et al.. (2019). A cortical rat hemodynamic response function for improved detection of BOLD activation under common experimental conditions. NeuroImage. 208. 116446–116446. 35 indexed citations
12.
Albers, Franziska, et al.. (2017). Multimodal Functional Neuroimaging by Simultaneous BOLD fMRI and Fiber-Optic Calcium Recordings and Optogenetic Control. Molecular Imaging and Biology. 20(2). 171–182. 31 indexed citations
13.
Herrmann, Alexander M., Nicholas Schwab, René Deenen, et al.. (2016). Melanocortin-1 receptor activation is neuroprotective in mouse models of neuroinflammatory disease. Science Translational Medicine. 8(362). 362ra146–362ra146. 52 indexed citations
14.
Schmid, Florian, Lydia Wachsmuth, Franziska Albers, et al.. (2016). True and apparent optogenetic BOLDfMRI signals. Magnetic Resonance in Medicine. 77(1). 126–136. 35 indexed citations
15.
Kopp, Christoph, Peter Linz, Lydia Wachsmuth, et al.. (2011). 23 Na Magnetic Resonance Imaging of Tissue Sodium. Hypertension. 59(1). 167–172. 197 indexed citations
16.
17.
Grams, Astrid, et al.. (2007). 79 TIBIAL CARTILAGE SURFACE AREA, THICKNESS AND VOLUME IN VARIOUS ANIMAL SPECIES AND IN HUMANS. Osteoarthritis and Cartilage. 15. C54–C55. 3 indexed citations
18.
Lindhorst, E., Lydia Wachsmuth, R. Raiss, et al.. (2004). Increase in degraded collagen type II in synovial fluid early in the rabbit meniscectomy model of osteoarthritis. Osteoarthritis and Cartilage. 13(2). 139–145. 36 indexed citations
19.
Wachsmuth, Lydia, et al.. (2003). In vivo contrast-enhanced micro MR-imaging of experimental osteoarthritis in the rabbit knee joint at 7.1T. Osteoarthritis and Cartilage. 11(12). 891–902. 38 indexed citations
20.
Wachsmuth, Lydia, et al.. (1997). Can magnetization transfer magnetic resonance imaging follow proteoglycan depletion in articular cartilage?. Magnetic Resonance Materials in Physics Biology and Medicine. 5(1). 71–78. 31 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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