Stephen Tonna

25 total papers · 1.9k total citations
17 papers, 1.2k citations indexed

About

Stephen Tonna is a scholar working on Molecular Biology, Nephrology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Stephen Tonna has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 10 papers in Nephrology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Stephen Tonna’s work include Renal Diseases and Glomerulopathies (9 papers), Axon Guidance and Neuronal Signaling (5 papers) and Chronic Kidney Disease and Diabetes (4 papers). Stephen Tonna is often cited by papers focused on Renal Diseases and Glomerulopathies (9 papers), Axon Guidance and Neuronal Signaling (5 papers) and Chronic Kidney Disease and Diabetes (4 papers). Stephen Tonna collaborates with scholars based in Australia, United States and China. Stephen Tonna's co-authors include Martin R. Pollak, Judy Savige, Yan Yan Wang, Kesha Rana, Assam El‐Osta, Johannes Schlöndorff, Daniel Becker, Joel Henderson, Elizabeth Brown and Hiroyasu Tsukaguchi and has published in prestigious journals such as Nature Genetics, Development and The FASEB Journal.

Co-authorship network of co-authors of Stephen Tonna

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Tonna. A scholar is included among the top collaborators of Stephen Tonna 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 Stephen Tonna. Stephen Tonna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Stephen Tonna

16 papers receiving 1.2k citations

Fields of papers citing papers by Stephen Tonna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Stephen Tonna

Since Specialization
Citations

This map shows the geographic impact of Stephen Tonna'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 Stephen Tonna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Tonna 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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2026