Novartis Foundation symposium

3.8k papers and 82.9k indexed citations i.

About

The 3.8k papers published in Novartis Foundation symposium in the last decades have received a total of 82.9k indexed citations. Papers published in Novartis Foundation symposium usually cover Molecular Biology (1.4k papers), Cellular and Molecular Neuroscience (432 papers) and Genetics (373 papers) specifically the topics of Ion channel regulation and function (111 papers), Neuroscience and Neuropharmacology Research (108 papers) and T-cell and B-cell Immunology (104 papers). The most active scholars publishing in Novartis Foundation symposium are R. D. Keynes, Minoru Kanehisa, Alan Lucas, Antonio Garcı́a-Bellido, R. H. T. Edwards, Maureen Owen, A. J. Friedenstein, G. E. W. Wolstenholme, David C. Klein and Kirstie A. Lawson.

In The Last Decade

Fields of papers published in Novartis Foundation symposium

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Novartis Foundation symposium. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Novartis Foundation symposium.

Countries where authors publish in Novartis Foundation symposium

Since Specialization
Citations

This map shows the geographic impact of research published in Novartis Foundation symposium. 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 papers published in Novartis Foundation symposium with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Novartis Foundation symposium 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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