Thaddeus K. Weigel

576 total citations
8 papers, 382 citations indexed

About

Thaddeus K. Weigel is a scholar working on Biological Psychiatry, Molecular Biology and Behavioral Neuroscience. According to data from OpenAlex, Thaddeus K. Weigel has authored 8 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biological Psychiatry, 3 papers in Molecular Biology and 3 papers in Behavioral Neuroscience. Recurrent topics in Thaddeus K. Weigel's work include Tryptophan and brain disorders (4 papers), Stress Responses and Cortisol (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Thaddeus K. Weigel is often cited by papers focused on Tryptophan and brain disorders (4 papers), Stress Responses and Cortisol (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Thaddeus K. Weigel collaborates with scholars based in United States. Thaddeus K. Weigel's co-authors include Michael L. Lehmann, Miles Herkenham, Abdel G. Elkahloun, Heather A. Ferris, Stacey L. Kigar, Hannah Cooper, Joshua A. Kulas, Eli R. Zunder, John R. Lukens and Catherine R. Lammert and has published in prestigious journals such as Journal of Neuroscience, The Journal of Immunology and Scientific Reports.

In The Last Decade

Thaddeus K. Weigel

7 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thaddeus K. Weigel United States 6 175 145 139 81 52 8 382
Yuki Imoto Japan 9 207 1.2× 187 1.3× 190 1.4× 99 1.2× 64 1.2× 11 531
Yucen Xia China 13 94 0.5× 81 0.6× 117 0.8× 51 0.6× 65 1.3× 23 373
Yusuke Yamauchi Japan 3 194 1.1× 88 0.6× 137 1.0× 53 0.7× 25 0.5× 5 324
Laurence Dion‐Albert Canada 6 244 1.4× 189 1.3× 164 1.2× 122 1.5× 100 1.9× 14 530
Paulina Rachwalska Poland 10 166 0.9× 237 1.6× 55 0.4× 105 1.3× 72 1.4× 16 485
Г. В. Идова Russia 13 221 1.3× 175 1.2× 96 0.7× 160 2.0× 46 0.9× 72 520
Gary Gang Chen Canada 5 367 2.1× 263 1.8× 221 1.6× 102 1.3× 37 0.7× 7 514
Simone N. De Luca Australia 16 104 0.6× 125 0.9× 271 1.9× 100 1.2× 148 2.8× 34 656
Joanna Tadeusz Poland 9 168 1.0× 246 1.7× 54 0.4× 62 0.8× 73 1.4× 11 429
Chloé Lacabanne Canada 6 75 0.4× 50 0.3× 115 0.8× 58 0.7× 53 1.0× 6 329

Countries citing papers authored by Thaddeus K. Weigel

Since Specialization
Citations

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

Fields of papers citing papers by Thaddeus K. Weigel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thaddeus K. Weigel. 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 Thaddeus K. Weigel. The network helps show where Thaddeus K. Weigel may publish in the future.

Co-authorship network of co-authors of Thaddeus K. Weigel

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

All Works

8 of 8 papers shown
1.
Meyer, Kate D., et al.. (2025). Glia Preserve Their Own Functions While Compensating for Neighboring Glial Cell Dysfunction. Glia. 73(12). 2427–2444.
2.
Weigel, Thaddeus K., et al.. (2023). Altered circadian behavior and light sensing in mouse models of Alzheimer’s disease. Frontiers in Aging Neuroscience. 15. 1218193–1218193. 2 indexed citations
3.
Kulas, Joshua A., Thaddeus K. Weigel, & Heather A. Ferris. (2020). Insulin resistance and impaired lipid metabolism as a potential link between diabetes and Alzheimer's disease. Drug Development Research. 81(2). 194–205. 22 indexed citations
4.
Lehmann, Michael L., et al.. (2019). The Behavioral Sequelae of Social Defeat Require Microglia and Are Driven by Oxidative Stress in Mice. Journal of Neuroscience. 39(28). 5594–5605. 92 indexed citations
5.
Weigel, Thaddeus K., Joshua A. Kulas, & Heather A. Ferris. (2019). Oxidized cholesterol species as signaling molecules in the brain: diabetes and Alzheimer’s disease. PubMed. 3(4). NS20190068–NS20190068. 13 indexed citations
6.
Lammert, Catherine R., Elizabeth L. Frost, Ashley C. Bolte, et al.. (2018). Cutting Edge: Critical Roles for Microbiota-Mediated Regulation of the Immune System in a Prenatal Immune Activation Model of Autism. The Journal of Immunology. 201(3). 845–850. 87 indexed citations
7.
Lehmann, Michael L., Thaddeus K. Weigel, Hannah Cooper, et al.. (2018). Decoding microglia responses to psychosocial stress reveals blood-brain barrier breakdown that may drive stress susceptibility. Scientific Reports. 8(1). 11240–11240. 74 indexed citations
8.
Lehmann, Michael L., Thaddeus K. Weigel, Abdel G. Elkahloun, & Miles Herkenham. (2017). Chronic social defeat reduces myelination in the mouse medial prefrontal cortex. Scientific Reports. 7(1). 46548–46548. 92 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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