Nana Sunn

38 total papers · 1.1k total citations
19 papers, 731 citations indexed

About

Nana Sunn is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Nana Sunn has authored 19 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Physiology and 3 papers in Surgery. Recurrent topics in Nana Sunn's work include Congenital heart defects research (3 papers), Pregnancy-related medical research (2 papers) and Veterinary Pharmacology and Anesthesia (2 papers). Nana Sunn is often cited by papers focused on Congenital heart defects research (3 papers), Pregnancy-related medical research (2 papers) and Veterinary Pharmacology and Anesthesia (2 papers). Nana Sunn collaborates with scholars based in Australia, United States and Canada. Nana Sunn's co-authors include Brian J. Oldfield, Michael J. McKinley, Pamela J. Davern, Jenny Penschow, Aaron Uschakov, Robin M. McAllen, Michelle Giles, M. J. McKinley, Randal X. Moldrich and Richard M. Gronostajski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology and Journal of Cell Science.

In The Last Decade

Nana Sunn

19 papers receiving 723 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nana Sunn 255 176 118 104 96 19 731
Amy E.B. Packard 153 0.6× 108 0.6× 119 1.0× 82 0.8× 34 0.4× 23 792
David L. Keefe 180 0.7× 153 0.9× 246 2.1× 96 0.9× 89 0.9× 24 893
David K. Sundberg 138 0.5× 234 1.3× 283 2.4× 190 1.8× 42 0.4× 34 730
María Julia Cambiasso 243 1.0× 68 0.4× 86 0.7× 150 1.4× 22 0.2× 34 866
Josef Buttigieg 269 1.1× 322 1.8× 42 0.4× 127 1.2× 82 0.9× 31 806
Marina S. Siniaia 281 1.1× 299 1.7× 110 0.9× 49 0.5× 113 1.2× 17 715
Thomas M. Louis 183 0.7× 108 0.6× 51 0.4× 168 1.6× 54 0.6× 32 674
Laurent Kappeler 276 1.1× 165 0.9× 37 0.3× 71 0.7× 36 0.4× 26 834
Douglas J. McKitrick 194 0.8× 238 1.4× 86 0.7× 298 2.9× 173 1.8× 33 753
Ke-Wen Dong 208 0.8× 58 0.3× 51 0.4× 117 1.1× 30 0.3× 22 743

Countries citing papers authored by Nana Sunn

Since Specialization
Citations

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

Fields of papers citing papers by Nana Sunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nana Sunn

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

All Works

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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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