Takyee Tung

12 total papers · 729 total citations
4 papers, 83 citations indexed

About

Takyee Tung is a scholar working on Genetics, Cancer Research and Molecular Biology. According to data from OpenAlex, Takyee Tung has authored 4 papers receiving a total of 83 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 4 papers in Cancer Research and 2 papers in Molecular Biology. Recurrent topics in Takyee Tung's work include Glioma Diagnosis and Treatment (4 papers), Mitochondrial Function and Pathology (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Takyee Tung is often cited by papers focused on Glioma Diagnosis and Treatment (4 papers), Mitochondrial Function and Pathology (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Takyee Tung collaborates with scholars based in Canada and India. Takyee Tung's co-authors include Gelareh Zadeh, Sameer Agnihotri, Osaama H. Khan, Ramamani Mariappan, Lashmi Venkatraghavan, Diana M. Muñoz, Cynthia Hawkins, Abhijit Guha, Sanjay K. Singh and Mark Bernstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Glia and Journal of Clinical Neuroscience.

In The Last Decade

Takyee Tung

4 papers receiving 83 citations

Author Peers

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

Author Last Decade Papers Cites
Takyee Tung 36 36 27 18 11 4 83
Viola Harde 19 0.5× 31 0.9× 58 2.1× 14 0.8× 6 0.5× 6 220
Dustin Tran 56 1.6× 20 0.6× 35 1.3× 23 1.3× 20 1.8× 5 244
Amanda F. Marvelle 26 0.7× 41 1.1× 87 3.2× 38 2.1× 5 0.5× 7 269
S. Soler 18 0.5× 17 0.5× 22 0.8× 14 0.8× 20 1.8× 3 97
Aaron Chevalier 56 1.6× 25 0.7× 32 1.2× 11 0.6× 23 2.1× 6 125
Sylvain Fraineau 40 1.1× 39 1.1× 127 4.7× 4 0.2× 10 0.9× 8 234
Verónica Barceló 38 1.1× 49 1.4× 116 4.3× 29 1.6× 27 2.5× 6 226
Marco Martari 22 0.6× 29 0.8× 68 2.5× 33 1.8× 3 0.3× 7 213
Ewa Goljan 19 0.5× 11 0.3× 90 3.3× 10 0.6× 9 0.8× 9 217
Rana Chakrabarti 8 0.2× 38 1.1× 145 5.4× 15 0.8× 6 0.5× 7 226

Countries citing papers authored by Takyee Tung

Since Specialization
Citations

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

Fields of papers citing papers by Takyee Tung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takyee Tung

This figure shows the co-authorship network connecting the top 25 collaborators of Takyee Tung. A scholar is included among the top collaborators of Takyee Tung 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 Takyee Tung. Takyee Tung 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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