Thomas Conrad

2.8k total citations
33 papers, 1.3k citations indexed

About

Thomas Conrad is a scholar working on Molecular Biology, Cancer Research and Neurology. According to data from OpenAlex, Thomas Conrad has authored 33 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Neurology. Recurrent topics in Thomas Conrad's work include RNA Research and Splicing (7 papers), Single-cell and spatial transcriptomics (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Thomas Conrad is often cited by papers focused on RNA Research and Splicing (7 papers), Single-cell and spatial transcriptomics (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Thomas Conrad collaborates with scholars based in Germany, United States and Denmark. Thomas Conrad's co-authors include Asifa Akhtar, Ulf Andersson Ørom, Evgenia Ntini, Annita Louloupi, Sascha Sauer, Nicholas M. Luscombe, Juan M. Vaquerizas, Ramón Vidal, Herbert Holz and Florence M.G. Cavalli and has published in prestigious journals such as Science, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Thomas Conrad

28 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thomas Conrad Germany 17 1.1k 260 185 147 102 33 1.3k
Pengpeng Liu China 25 1.4k 1.3× 265 1.0× 281 1.5× 95 0.6× 47 0.5× 53 1.6k
Aaron C. Goldstrohm United States 24 2.1k 2.0× 161 0.6× 122 0.7× 105 0.7× 130 1.3× 40 2.4k
Yesheng Tang Germany 6 1.2k 1.1× 180 0.7× 101 0.5× 135 0.9× 86 0.8× 6 1.5k
Bertrand Chin‐Ming Tan Taiwan 23 1.7k 1.5× 406 1.6× 137 0.7× 70 0.5× 97 1.0× 63 1.9k
Kristoffer Vitting‐Seerup Denmark 18 1.2k 1.1× 375 1.4× 124 0.7× 62 0.4× 96 0.9× 31 1.5k
Henrik Spåhr Sweden 24 2.2k 2.0× 191 0.7× 117 0.6× 186 1.3× 58 0.6× 33 2.3k
Kent E. Duncan Germany 16 1.0k 0.9× 111 0.4× 108 0.6× 66 0.4× 67 0.7× 23 1.1k
Atsutaka Kubosaki Japan 19 794 0.7× 257 1.0× 153 0.8× 72 0.5× 210 2.1× 35 1.2k
Jiashun Zheng United States 16 1.3k 1.2× 96 0.4× 154 0.8× 92 0.6× 68 0.7× 23 1.6k

Countries citing papers authored by Thomas Conrad

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Conrad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Conrad

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Conrad. A scholar is included among the top collaborators of Thomas Conrad 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 Thomas Conrad. Thomas Conrad 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.
Yi, Wenjing, Andreas Jeron, Jakob Schmidt, et al.. (2025). Astrocytic-OTUD7B ameliorates murine experimental autoimmune encephalomyelitis by stabilizing glial fibrillary acidic protein and preventing inflammation. Nature Communications. 16(1). 9279–9279.
2.
Conrad, Thomas, Alexandros Armaos, Annita Louloupi, et al.. (2025). Design and characterization of G-quadruplex RNA aptamers reveal RNA-binding by KDM5 lysine demethylases. Computational and Structural Biotechnology Journal. 27. 2719–2729.
3.
Patsalos, Andreas, László Halász, Xiaoyan Wei, et al.. (2024). Spatiotemporal transcriptomic mapping of regenerative inflammation in skeletal muscle reveals a dynamic multilayered tissue architecture. Journal of Clinical Investigation. 134(20). 6 indexed citations
4.
Conrad, Thomas, et al.. (2024). In situ Patch-seq analysis of microglia reveals a lack of stress genes as found in FACS-isolated microglia. PLoS ONE. 19(7). e0302376–e0302376. 2 indexed citations
5.
Ihlow, Jana, Livius Penter, Lam Vuong, et al.. (2024). Diagnosing recipient- vs. donor-derived posttransplant myelodysplastic neoplasm via targeted single-cell mutational profiling. Med. 6(4). 100548–100548.
6.
Diecke, Sebastian, et al.. (2023). iPSC-derived reactive astrocytes from patients with multiple sclerosis protect cocultured neurons in inflammatory conditions. Journal of Clinical Investigation. 133(13). 29 indexed citations
7.
Heuberger, Julian, Hilmar Berger, Hao Li, et al.. (2023). Establishment of gastrointestinal assembloids to study the interplay between epithelial crypts and their mesenchymal niche. Nature Communications. 14(1). 3025–3025. 32 indexed citations
8.
Obermayer, Benedikt, Thomas Conrad, Marco Frentsch, et al.. (2023). Single-cell clonal tracking of persistent T-cells in allogeneic hematopoietic stem cell transplantation. Frontiers in Immunology. 14. 1114368–1114368. 6 indexed citations
9.
Freitag, Kiara, Benedikt Obermayer, J Schulz, et al.. (2022). Spermidine reduces neuroinflammation and soluble amyloid beta in an Alzheimer’s disease mouse model. Journal of Neuroinflammation. 19(1). 172–172. 74 indexed citations
10.
Zimmermann, Karin, Lisa Katharina Wagner, Christoph S. N. Klose, et al.. (2022). Tongue immune compartment analysis reveals spatial macrophage heterogeneity. eLife. 11. 11 indexed citations
11.
Olivares‐Chauvet, Pedro, et al.. (2022). A single‐cell RNA labeling strategy for measuring stress response upon tissue dissociation. Molecular Systems Biology. 19(2). e11147–e11147. 16 indexed citations
12.
Wittenbecher, Friedrich, Benedikt Obermayer, Thomas Conrad, et al.. (2021). Single-Cell Clonal Tracking in Allogeneic Hematopoietic Stem Cell Transplantation Reveals Time Dependent and Distinct Functional Patterns in Traceable Donor T Cell Clones. Blood. 138(Supplement 1). 335–335. 2 indexed citations
13.
Vidal, Ramón, Julian U. G. Wagner, Caroline Braeuning, et al.. (2019). Transcriptional heterogeneity of fibroblasts is a hallmark of the aging heart. JCI Insight. 4(22). 113 indexed citations
14.
Conrad, Thomas, et al.. (2016). Serial interactome capture of the human cell nucleus. Nature Communications. 7(1). 11212–11212. 103 indexed citations
15.
Conrad, Thomas & Ulf Andersson Ørom. (2016). Cellular Fractionation and Isolation of Chromatin-Associated RNA. Methods in molecular biology. 1468. 1–9. 56 indexed citations
17.
Conrad, Thomas, Annalisa Marsico, Maja Gehre, & Ulf Andersson Ørom. (2014). Microprocessor Activity Controls Differential miRNA Biogenesis In Vivo. Cell Reports. 9(2). 542–554. 65 indexed citations
18.
Conrad, Thomas, Florence M.G. Cavalli, Herbert Holz, et al.. (2012). The MOF Chromobarrel Domain Controls Genome-wide H4K16 Acetylation and Spreading of the MSL Complex. Developmental Cell. 22(3). 610–624. 58 indexed citations
19.
Conrad, Thomas & Asifa Akhtar. (2012). Dosage compensation in Drosophila melanogaster: epigenetic fine-tuning of chromosome-wide transcription. Nature Reviews Genetics. 13(2). 123–134. 191 indexed citations
20.
Raja, Sunil Jayaramaiah, Iryna Charapitsa, Thomas Conrad, et al.. (2010). The Nonspecific Lethal Complex Is a Transcriptional Regulator in Drosophila. Molecular Cell. 38(6). 827–841. 114 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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