Michael T. Sung

25 total papers · 941 total citations
19 papers, 773 citations indexed

About

Michael T. Sung is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Michael T. Sung has authored 19 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Genetics and 4 papers in Spectroscopy. Recurrent topics in Michael T. Sung's work include Virus-based gene therapy research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). Michael T. Sung is often cited by papers focused on Virus-based gene therapy research (7 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and DNA and Nucleic Acid Chemistry (4 papers). Michael T. Sung collaborates with scholars based in United States, Canada and South Korea. Michael T. Sung's co-authors include Gordon H. Dixon, M A Lischwe, Oliver Smithies, Keiichi Hosokawa, Tin Cao, Elizabeth F. Freedlender, James C. Richards, Martin J. Serra, Roger Coleman and Thomas E. Wagner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Michael T. Sung

18 papers receiving 680 citations

Author Peers

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

Author Last Decade Papers Cites
Michael T. Sung 614 228 78 59 57 19 773
Simina Grigoriu 654 1.1× 273 1.2× 165 2.1× 43 0.7× 85 1.5× 12 893
José L. Saborío 420 0.7× 158 0.7× 44 0.6× 43 0.7× 26 0.5× 22 704
Xiao Fan 674 1.1× 160 0.7× 42 0.5× 53 0.9× 29 0.5× 22 904
Elizabeth Mathew 324 0.5× 187 0.8× 39 0.5× 36 0.6× 69 1.2× 28 740
Stefan Reinelt 577 0.9× 249 1.1× 55 0.7× 29 0.5× 55 1.0× 19 861
Dimitra Keramisanou 711 1.2× 228 1.0× 76 1.0× 70 1.2× 24 0.4× 17 818
Robert L. Millette 558 0.9× 215 0.9× 133 1.7× 17 0.3× 46 0.8× 25 796
Kay L. Nakamaye 582 0.9× 116 0.5× 48 0.6× 24 0.4× 37 0.6× 13 825
Solmaz Sobhanifar 597 1.0× 81 0.4× 56 0.7× 82 1.4× 45 0.8× 14 842
Milton H. Saier 574 0.9× 274 1.2× 90 1.2× 97 1.6× 53 0.9× 14 815

Countries citing papers authored by Michael T. Sung

Since Specialization
Citations

This map shows the geographic impact of Michael T. Sung'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 Michael T. Sung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Sung more than expected).

Fields of papers citing papers by Michael T. Sung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael T. Sung. 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 Michael T. Sung. The network helps show where Michael T. Sung may publish in the future.

Co-authorship network of co-authors of Michael T. Sung

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Sung. A scholar is included among the top collaborators of Michael T. Sung 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 Michael T. Sung. Michael T. Sung 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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