R Coda

43 papers and 1.1k indexed citations i.

About

R Coda is a scholar working on Immunology, Surgery and Genetics. According to data from OpenAlex, R Coda has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 9 papers in Surgery and 9 papers in Genetics. Recurrent topics in R Coda’s work include Chronic Lymphocytic Leukemia Research (9 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Platelet Disorders and Treatments (5 papers). R Coda is often cited by papers focused on Chronic Lymphocytic Leukemia Research (9 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Platelet Disorders and Treatments (5 papers). R Coda collaborates with scholars based in Italy, France and Japan. R Coda's co-authors include Ciro Tetta, Giovanni Camussi, Federico Bussolino, Giuseppe Saglio, Gabriella Benetton, Giorgio Cattoretti, Patrizia Lista, Massimo Aglietta, Gian Carlo Avanzi and Wanda Piacibello and has published in prestigious journals such as Blood, Cancer and Kidney International.

In The Last Decade

Co-authorship network of co-authors of R Coda i

Fields of papers citing papers by R Coda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by R Coda

Since Specialization
Citations

This map shows the geographic impact of R Coda'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 R Coda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R Coda 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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2025