Michael G. Tassia

791 total citations
12 papers, 274 citations indexed

About

Michael G. Tassia is a scholar working on Molecular Biology, Global and Planetary Change and Ecology. According to data from OpenAlex, Michael G. Tassia has authored 12 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Global and Planetary Change and 4 papers in Ecology. Recurrent topics in Michael G. Tassia's work include Marine Ecology and Invasive Species (5 papers), Marine Biology and Ecology Research (3 papers) and vaccines and immunoinformatics approaches (2 papers). Michael G. Tassia is often cited by papers focused on Marine Ecology and Invasive Species (5 papers), Marine Biology and Ecology Research (3 papers) and vaccines and immunoinformatics approaches (2 papers). Michael G. Tassia collaborates with scholars based in United States, Sweden and Canada. Michael G. Tassia's co-authors include Kenneth M. Halanych, Billie J. Swalla, Kevin M. Kocot, Nathan V. Whelan, Yuanning Li, Johanna T. Cannon, Damien S. Waits, Rajiv C. McCoy, Stephanie M. Yan and Christopher D. Gocke and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

Michael G. Tassia

12 papers receiving 274 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael G. Tassia United States 8 106 69 66 64 40 12 274
Loqmane Seridi United States 11 139 1.3× 50 0.7× 141 2.1× 48 0.8× 18 0.5× 20 455
Sabrina Klebow Germany 7 129 1.2× 51 0.7× 45 0.7× 41 0.6× 40 1.0× 8 439
Margherita Perillo United States 11 168 1.6× 35 0.5× 54 0.8× 54 0.8× 12 0.3× 18 331
Paul Gonzalez Chile 7 108 1.0× 107 1.6× 52 0.8× 40 0.6× 11 0.3× 38 360
David R. McClay United States 6 255 2.4× 68 1.0× 23 0.3× 26 0.4× 7 0.2× 7 372
Carmen Andrikou Italy 11 177 1.7× 79 1.1× 39 0.6× 61 1.0× 5 0.1× 12 302
Michelle King United Kingdom 9 294 2.8× 49 0.7× 61 0.9× 59 0.9× 14 0.3× 11 451
Setsuko Iwanaga Japan 12 141 1.3× 58 0.8× 47 0.7× 20 0.3× 67 1.7× 22 415
Katherine Ross United Kingdom 7 73 0.7× 137 2.0× 98 1.5× 61 1.0× 48 1.2× 8 419
Koichi H. Kato Japan 14 237 2.2× 44 0.6× 62 0.9× 73 1.1× 8 0.2× 23 422

Countries citing papers authored by Michael G. Tassia

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Tassia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael G. Tassia

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

All Works

12 of 12 papers shown
1.
Taylor, Dylan J., Surya B. Chhetri, Michael G. Tassia, et al.. (2024). Sources of gene expression variation in a globally diverse human cohort. Nature. 632(8023). 122–130. 17 indexed citations
2.
Tassia, Michael G., et al.. (2023). Unexpected Distribution of Chitin and Chitin Synthase across Soft-Bodied Cnidarians. Biomolecules. 13(5). 777–777. 8 indexed citations
3.
Gershman, Ariel, Michael G. Tassia, Xabier Agirrezabala, et al.. (2023). Genomic insights into metabolic flux in hummingbirds. Genome Research. 33(5). 703–714. 2 indexed citations
4.
Tassia, Michael G., Kristen E. Schratz, Stephanie M. Yan, et al.. (2023). Familial Clonal Hematopoiesis in a Long Telomere Syndrome. New England Journal of Medicine. 388(26). 2422–2433. 64 indexed citations
5.
Tassia, Michael G., Damien S. Waits, Ryan Range, et al.. (2023). Induced Immune Reaction in the Acorn Worm, Saccoglossus kowalevskii, Informs the Evolution of Antiviral Immunity. Molecular Biology and Evolution. 40(5). 1 indexed citations
6.
Tassia, Michael G., et al.. (2021). TIAMMAt: Leveraging Biodiversity to Revise Protein Domain Models, Evidence from Innate Immunity. Molecular Biology and Evolution. 38(12). 5806–5818. 6 indexed citations
8.
Li, Yuanning, et al.. (2019). Genomic adaptations to chemosymbiosis in the deep-sea seep-dwelling tubeworm Lamellibrachia luymesi. BMC Biology. 17(1). 91–91. 41 indexed citations
9.
Kocot, Kevin M., Michael G. Tassia, Kenneth M. Halanych, & Billie J. Swalla. (2018). Phylogenomics offers resolution of major tunicate relationships. Molecular Phylogenetics and Evolution. 121. 166–173. 49 indexed citations
10.
Li, Yuanning, Kevin M. Kocot, Michael G. Tassia, et al.. (2018). Mitogenomics Reveals a Novel Genetic Code in Hemichordata. Genome Biology and Evolution. 11(1). 29–40. 21 indexed citations
11.
Tassia, Michael G., Nathan V. Whelan, & Kenneth M. Halanych. (2017). Toll-like receptor pathway evolution in deuterostomes. Proceedings of the National Academy of Sciences. 114(27). 7055–7060. 35 indexed citations
12.
Tassia, Michael G., et al.. (2016). The Global Diversity of Hemichordata. PLoS ONE. 11(10). e0162564–e0162564. 24 indexed citations

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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