Carla M. Cuda

100 total papers · 3.6k 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, Yifang Chen, Rana Saber and G. R. Scott Budinger 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

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Carla M. Cuda 894 579 382 228 164 49 1.6k
Amanda K. Huber 890 1.0× 493 0.9× 269 0.7× 195 0.9× 265 1.6× 49 2.3k
Violeta Rus 1.4k 1.6× 618 1.1× 514 1.3× 186 0.8× 251 1.5× 79 2.4k
Cornelia Cudrici 781 0.9× 610 1.1× 142 0.4× 281 1.2× 138 0.8× 54 1.7k
Ke Yan 424 0.5× 536 0.9× 143 0.4× 153 0.7× 135 0.8× 51 1.6k
Manae S. Kurokawa 361 0.4× 786 1.4× 276 0.7× 169 0.7× 115 0.7× 82 1.8k
Marcin P. Mycko 797 0.9× 904 1.6× 134 0.4× 148 0.6× 204 1.2× 52 1.9k
Moon L. Shin 1.1k 1.2× 614 1.1× 113 0.3× 369 1.6× 179 1.1× 54 2.1k
Mohammed Al‐Owain 354 0.4× 1.1k 1.9× 350 0.9× 110 0.5× 95 0.6× 87 2.0k
Thomas Prod’homme 1.1k 1.2× 457 0.8× 205 0.5× 355 1.6× 301 1.8× 26 1.9k
John S. Tzartos 953 1.1× 323 0.6× 229 0.6× 233 1.0× 309 1.9× 69 1.9k

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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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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