Uma Suthersanen

13 papers and 49 indexed citations i.

About

Uma Suthersanen is a scholar working on Management of Technology and Innovation, Molecular Biology and Accounting. According to data from OpenAlex, Uma Suthersanen has authored 13 papers receiving a total of 49 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Management of Technology and Innovation, 2 papers in Molecular Biology and 2 papers in Accounting. Recurrent topics in Uma Suthersanen’s work include Intellectual Property and Patents (3 papers), CRISPR and Genetic Engineering (2 papers) and Intellectual Property Law (2 papers). Uma Suthersanen is often cited by papers focused on Intellectual Property and Patents (3 papers), CRISPR and Genetic Engineering (2 papers) and Intellectual Property Law (2 papers). Uma Suthersanen collaborates with scholars based in United Kingdom, India and United States. Uma Suthersanen's co-authors include Graham Dutfield, Lionel Bently, Paul Torremans, Phillip Johnson, Graeme B. Dinwoodie, Michael J. Meurer, Hazel V. J. Moir and Richard Arnold and has published in prestigious journals such as Learned Publishing, Science & Technology Studies and Prometheus.

In The Last Decade

Co-authorship network of co-authors of Uma Suthersanen i

Fields of papers citing papers by Uma Suthersanen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Uma Suthersanen

Since Specialization
Citations

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