Carla M. Cuda

3.7k total citations
49 papers, 1.6k citations indexed

About

Carla M. Cuda is a scholar working on Immunology, Neurology and Molecular Biology. According to data from OpenAlex, Carla M. Cuda has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 16 papers in Neurology and 12 papers in Molecular Biology. Recurrent topics in Carla M. Cuda's work include Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Systemic Lupus Erythematosus Research (12 papers) and T-cell and B-cell Immunology (10 papers). Carla M. Cuda is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Systemic Lupus Erythematosus Research (12 papers) and T-cell and B-cell Immunology (10 papers). Carla M. Cuda collaborates with scholars based in United States, United Kingdom and Israel. Carla M. Cuda's co-authors include Harris Perlman, Laurence Morel, Hadijat M. Makinde, Alexander V. Misharin, Steven Droho, Jeremy A. Lavine, Steven J. Schwulst, Rana Saber, G. R. Scott Budinger and Yifang Chen and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and Nature Immunology.

In The Last Decade

Carla M. Cuda

45 papers receiving 1.6k citations

Peers

Carla M. Cuda

IMMUN

RHEUM

NEURO

ONCOL

Amanda K. Huber United States

Manae S. Kurokawa Japan

Thomas Prod’homme United States

Anika Stadtmann Germany

Annet F. Wierenga‐Wolf Netherlands

Sophie Desplat‐Jégo France

H.‐P. Hartung Germany

Fedor Heidenreich Germany

Mohammad K. Sharief United Kingdom

Nicolas Molnarfi Switzerland

Amanda K. Huber United States

Carla M. Cuda

894 ×1.0

IMMUN

498 ×0.9

268 ×0.7

RHEUM

196 ×0.9

NEURO

264 ×1.6

ONCOL

Citations per year, relative to Carla M. Cuda Carla M. Cuda (= 1×) peers Amanda K. Huber

Countries citing papers authored by Carla M. Cuda

Since Specialization

Citations

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

Fields of papers citing papers by Carla M. Cuda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carla M. Cuda. 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 Carla M. Cuda. The network helps show where Carla M. Cuda may publish in the future.

Co-authorship network of co-authors of Carla M. Cuda

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

All Works

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20 of 20 papers shown

Gadhvi, Gaurav, Liang Feng, Colin T. Shearn, et al.. (2025). Transcriptional analysis of murine biliary atresia identifies macrophage heterogeneity and subset-specific macrophage functions. Frontiers in Immunology. 16. 1506195–1506195.

Polis, Baruh, Carla M. Cuda, & Chaim Putterman. (2024). Animal models of neuropsychiatric systemic lupus erythematosus: deciphering the complexity and guiding therapeutic development. Autoimmunity. 57(1). 2330387–2330387. 5 indexed citations

Droho, Steven, et al.. (2023). CD11c+ macrophages are proangiogenic and necessary for experimental choroidal neovascularization. JCI Insight. 8(7). 36 indexed citations

Droho, Steven, Andrew P. Voigt, Jacob Sterling, et al.. (2023). NR4A1 deletion promotes pro-angiogenic polarization of macrophages derived from classical monocytes in a mouse model of neovascular age-related macular degeneration. Journal of Neuroinflammation. 20(1). 238–238. 12 indexed citations

Cuda, Carla M., et al.. (2023). Inflammatory Cell Dynamics after Murine Femoral Artery Wire Injury: A Multi-Parameter Flow Cytometry-Based Analysis. Cells. 12(5). 689–689.

Shi, Tiffany, Ashley R. Burg, J. Timothy Caldwell, et al.. (2023). Single-cell transcriptomic analysis of renal allograft rejection reveals insights into intragraft TCR clonality. Journal of Clinical Investigation. 133(14). 22 indexed citations

Gadhvi, Gaurav, Mary Carns, Kathleen Aren, et al.. (2022). Three Distinct Transcriptional Profiles of Monocytes Associate with Disease Activity in Scleroderma Patients. Arthritis & Rheumatology. 75(4). 595–608. 4 indexed citations

Taylor, Sarah A., Gaurav Gadhvi, Liang Feng, et al.. (2021). Transcriptional profiling of pediatric cholestatic livers identifies three distinct macrophage populations. PLoS ONE. 16(1). e0244743–e0244743. 23 indexed citations

Makinde, Hadijat M., Deborah R. Winter, Daniele Procissi, et al.. (2020). A Novel Microglia-Specific Transcriptional Signature Correlates With Behavioral Deficits in Neuropsychiatric Lupus. Frontiers in Immunology. 11. 230–230. 35 indexed citations

10.

Makinde, Hadijat M., Maria Gulinello, Kamala Vanarsa, et al.. (2018). Lipocalin-2 is a pathogenic determinant and biomarker of neuropsychiatric lupus. Journal of Autoimmunity. 96. 59–73. 45 indexed citations

11.

Chalmers, Samantha A., Jing Wen, Jessica Doerner, et al.. (2018). Highly selective inhibition of Bruton’s tyrosine kinase attenuates skin and brain disease in murine lupus. Arthritis Research & Therapy. 20(1). 10–10. 38 indexed citations

12.

Makinde, Hadijat M., Evan Der, Ariel Stock, et al.. (2018). Neuropsychiatric Systemic Lupus Erythematosus Is Dependent on Sphingosine-1-Phosphate Signaling. Frontiers in Immunology. 9. 2189–2189. 51 indexed citations

13.

Homan, Philip, Hemant Agrawal, Alexander V. Misharin, et al.. (2017). Bim suppresses the development of SLE by limiting myeloid inflammatory responses. The Journal of Experimental Medicine. 214(12). 3753–3773. 22 indexed citations

14.

Makinde, Hadijat M., et al.. (2017). The Role of Microglia in the Etiology and Evolution of Chronic Traumatic Encephalopathy. Shock. 48(3). 276–283. 21 indexed citations

15.

Fähnrich, Anke, Carla M. Cuda, H. Leighton Grimes, et al.. (2016). Temporal Expression of Bim Limits the Development of Agonist-Selected Thymocytes and Skews Their TCRβ Repertoire. The Journal of Immunology. 198(1). 257–269. 15 indexed citations

16.

Cuda, Carla M., Richard M. Pope, & Harris Perlman. (2016). The inflammatory role of phagocyte apoptotic pathways in rheumatic diseases. Nature Reviews Rheumatology. 12(9). 543–558. 55 indexed citations

17.

Trahanas, Diane M., Carla M. Cuda, Harris Perlman, & Steven J. Schwulst. (2015). Differential Activation of Infiltrating Monocyte-Derived Cells After Mild and Severe Traumatic Brain Injury. Shock. 43(3). 255–260. 25 indexed citations

18.

Cuda, Carla M., Suigui Wan, Eric S. Sobel, Byron P. Croker, & Laurence Morel. (2007). Murine Lupus Susceptibility Locus Sle1a Controls Regulatory T Cell Number and Function through Multiple Mechanisms. The Journal of Immunology. 179(11). 7439–7447. 39 indexed citations

19.

Chen, Yifang, Carla M. Cuda, & Laurence Morel. (2005). Genetic Determination of T Cell Help in Loss of Tolerance to Nuclear Antigens. The Journal of Immunology. 174(12). 7692–7702. 76 indexed citations

20.

King, Michael A., et al.. (2004). The GABAergic System of the Developing Neocortex Has a Reduced Capacity to Recover from In Utero Injury in Experimental Cortical Dysplasia. Journal of Neuropathology & Experimental Neurology. 63(12). 1265–1273. 29 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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