Rosa Ten

27 papers and 1.5k indexed citations i.

About

Rosa Ten is a scholar working on Immunology, Cancer Research and Physiology. According to data from OpenAlex, Rosa Ten has authored 27 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 8 papers in Cancer Research and 5 papers in Physiology. Recurrent topics in Rosa Ten’s work include NF-κB Signaling Pathways (8 papers), Asthma and respiratory diseases (5 papers) and Immune Cell Function and Interaction (4 papers). Rosa Ten is often cited by papers focused on NF-κB Signaling Pathways (8 papers), Asthma and respiratory diseases (5 papers) and Immune Cell Function and Interaction (4 papers). Rosa Ten collaborates with scholars based in United States, France and Tanzania. Rosa Ten's co-authors include Gerald J. Gleich, Larry R. Pease, Alain Israël, C. V. Paya, O. Le Bail, Nicole Israël, Philippe Kourilsky, D J McKean, M P Bell and Marie‐Geneviève Mattéi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and The EMBO Journal.

In The Last Decade

Co-authorship network of co-authors of Rosa Ten i

Fields of papers citing papers by Rosa Ten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Rosa Ten

Since Specialization
Citations

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

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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