Carson E. Moseley

1.1k total citations
17 papers, 777 citations indexed

About

Carson E. Moseley is a scholar working on Immunology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Carson E. Moseley has authored 17 papers receiving a total of 777 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 7 papers in Pathology and Forensic Medicine and 5 papers in Oncology. Recurrent topics in Carson E. Moseley's work include Multiple Sclerosis Research Studies (7 papers), Immune Cell Function and Interaction (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Carson E. Moseley is often cited by papers focused on Multiple Sclerosis Research Studies (7 papers), Immune Cell Function and Interaction (7 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). Carson E. Moseley collaborates with scholars based in United States, Slovakia and Germany. Carson E. Moseley's co-authors include Robert G. Webster, Jerry R. Aldridge, Cory Reynolds, John Franks, Paul G. Thomas, Nicholas J. Negovetich, Peter C. Doherty, David A. Boltz, Scott A. Brown and Casey T. Weaver and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Immunity and Nature Immunology.

In The Last Decade

Carson E. Moseley

16 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carson E. Moseley United States	9	448	229	181	79	72	17	777
Fumitaka Sato United States	18	261 0.6×	90 0.4×	217 1.2×	207 2.6×	88 1.2×	40	714
Yongwei Qin China	17	169 0.4×	97 0.4×	237 1.3×	36 0.5×	87 1.2×	43	619
Geoffrey O. Gillard United States	16	562 1.3×	70 0.3×	217 1.2×	46 0.6×	51 0.7×	20	913
Saparna Pai Australia	15	422 0.9×	69 0.3×	161 0.9×	91 1.2×	60 0.8×	24	848
Yuhui Zhao China	14	170 0.4×	213 0.9×	375 2.1×	24 0.3×	60 0.8×	33	713
Carole Berruyer-Pouyet France	9	287 0.6×	117 0.5×	361 2.0×	30 0.4×	163 2.3×	10	832
Scott M. Seki United States	13	202 0.5×	87 0.4×	243 1.3×	35 0.4×	90 1.3×	18	960
Nicholas E. Martinez United States	15	203 0.5×	64 0.3×	131 0.7×	154 1.9×	57 0.8×	22	471
Armelle Le Campion France	15	534 1.2×	203 0.9×	226 1.2×	18 0.2×	103 1.4×	20	1.1k
Elizabeth M. Long Canada	9	326 0.7×	95 0.4×	224 1.2×	55 0.7×	57 0.8×	9	615

Countries citing papers authored by Carson E. Moseley

Since Specialization

Citations

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

Fields of papers citing papers by Carson E. Moseley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carson E. Moseley. 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 Carson E. Moseley. The network helps show where Carson E. Moseley may publish in the future.

Co-authorship network of co-authors of Carson E. Moseley

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

All Works

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17 of 17 papers shown

1.

Wu, Wesley, Sasha Gupta, Sharon A. Sagan, et al.. (2024). High-yield production of recombinant human myelin oligodendrocyte glycoprotein in SHuffle bacteria without a refolding step. Journal of Immunological Methods. 534. 113764–113764. 1 indexed citations

2.

Moseley, Carson E., et al.. (2024). MOG CNS Autoimmunity and MOGAD. Neurology Neuroimmunology & Neuroinflammation. 11(5). e200275–e200275. 20 indexed citations

3.

Moseley, Carson E., Collin M. Spencer, Elizabeth George, et al.. (2024). Life-Threatening MOG Antibody-Associated Hemorrhagic ADEM With Elevated CSF IL-6. Neurology Neuroimmunology & Neuroinflammation. 11(4). e200243–e200243. 8 indexed citations

4.

Sagan, Sharon A., Zahra Moinfar, Carson E. Moseley, et al.. (2023). T cell deletional tolerance restricts AQP4 but not MOG CNS autoimmunity. Proceedings of the National Academy of Sciences. 120(30). e2306572120–e2306572120. 7 indexed citations

5.

Moseley, Carson E. & Scott S. Zamvil. (2023). Targeting PGLYRP1 in cancer and autoimmunity. Nature Immunology. 24(11). 1785–1786.

6.

Moseley, Carson E., Ian M. Thornell, Mark O. Bevensee, et al.. (2020). Reduction of AMPA receptor activity on mature oligodendrocytes attenuates loss of myelinated axons in autoimmune neuroinflammation. Science Advances. 6(2). 32 indexed citations

7.

DiToro, Daniel, Stacey N. Harbour, Jennifer K. Bando, et al.. (2020). Insulin-Like Growth Factors Are Key Regulators of T Helper 17 Regulatory T Cell Balance in Autoimmunity. Immunity. 52(4). 650–667.e10. 118 indexed citations

8.

Pham, Duy, Carson E. Moseley, Min Gao, et al.. (2019). Batf Pioneers the Reorganization of Chromatin in Developing Effector T Cells via Ets1-Dependent Recruitment of Ctcf. Cell Reports. 29(5). 1203–1220.e7. 70 indexed citations

9.

Moseley, Carson E., et al.. (2018). Signals that induce IL-10 production by peripheral regulatory T cells. The Journal of Immunology. 200(Supplement_1). 164.25–164.25. 1 indexed citations

10.

Pham, Duy Thoai, Carson E. Moseley, Daniel Savic, et al.. (2018). Pioneer transcription factor BATF controls chromatin accessibility and CTCF-mediated chromatin architecture in CD4+ T cells. The Journal of Immunology. 200(Supplement_1). 110.10–110.10. 1 indexed citations

11.

Moseley, Carson E., et al.. (2016). T cell cytokine signatures: Biomarkers in pediatric multiple sclerosis. Journal of Neuroimmunology. 297. 1–8. 22 indexed citations

12.

Moseley, Carson E., et al.. (2016). Determining Immune System Suppression versus CNS Protection for Pharmacological Interventions in Autoimmune Demyelination. Journal of Visualized Experiments. 6 indexed citations

13.

Moseley, Carson E., et al.. (2016). Determining Immune System Suppression versus CNS Protection for Pharmacological Interventions in Autoimmune Demyelination. Journal of Visualized Experiments. 2 indexed citations

14.

Baker, Brandi J., Carson E. Moseley, Patrizia De Sarno, et al.. (2015). Inhibition of System Xc− Transporter Attenuates Autoimmune Inflammatory Demyelination. The Journal of Immunology. 195(2). 450–463. 75 indexed citations

15.

Silberger, Daniel J., Carlene L. Zindl, Carson E. Moseley, et al.. (2015). CD4+ T cell-derived Interleukin-21 is required for the efficient clearance of Citrobacter rodentium (MUC5P.744). The Journal of Immunology. 194(1_Supplement). 138.2–138.2. 1 indexed citations

16.

Moseley, Carson E., Robert G. Webster, & Jerry R. Aldridge. (2010). Original Article: Peroxisome proliferator‐activated receptor and AMP‐activated protein kinase agonists protect against lethal influenza virus challenge in mice. Influenza and Other Respiratory Viruses. 4(5). 307–311. 64 indexed citations

17.

Aldridge, Jerry R., Carson E. Moseley, David A. Boltz, et al.. (2009). TNF/iNOS-producing dendritic cells are the necessary evil of lethal influenza virus infection. Proceedings of the National Academy of Sciences. 106(13). 5306–5311. 349 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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