Michael T. Boyce-Jacino
- Molecular Biology top 10%
- Genetics top 5%
- Immunology top 10%
- Plant Science top 10%
- Epidemiology
- Co-authors
- Anthony J. FarasMark PohlTrey IdekerScott L. TaylorDeborah A. NickersonYu-Hui RogersStephen S. RichPere Santamaría
- Topics
- RNA and protein synthesis mechanisms (6 papers)Gene expression and cancer classification (6 papers)T-cell and B-cell Immunology (4 papers)
- Cited by
- GeneticsImmunologyMolecular Biology
- Partner nations
- United StatesPolandIndia
In The Last Decade
Michael T. Boyce-Jacino
21 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 804
- Genetics 512
- Immunology 256
- Plant Science 232
- Epidemiology 130
Countries citing papers authored by Michael T. Boyce-Jacino
This map shows the geographic impact of Michael T. Boyce-Jacino'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. Boyce-Jacino 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. Boyce-Jacino more than expected).
Fields of papers citing papers by Michael T. Boyce-Jacino
This network shows the impact of papers produced by Michael T. Boyce-Jacino. 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. Boyce-Jacino. The network helps show where Michael T. Boyce-Jacino may publish in the future.
Co-authorship network of co-authors of Michael T. Boyce-Jacino
This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Boyce-Jacino. A scholar is included among the top collaborators of Michael T. Boyce-Jacino 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. Boyce-Jacino. Michael T. Boyce-Jacino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 7 | |
| 3 | 420 | |
| 4 | Assessing population structure and its effects on association studies in a genome wide SNP dataset. | 1 |
| 5 | 149 | |
| 6 | 41 | |
| 7 | 19 | |
| 8 | 254 | |
| 9 | 187 | |
| 10 | 2 | |
| 11 | 106 | |
| 12 | 73 | |
| 13 | 37 | |
| 14 | 28 | |
| 15 | 26 | |
| 16 | 11 | |
| 17 | 3 | |
| 18 | 34 | |
| 19 | 29 | |
| 20 | 46 |
About Michael T. Boyce-Jacino
Michael T. Boyce-Jacino is a scholar working on Transplantation, Immunology and Genetics, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Gene expression and cancer classification (6 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Genetics (512 citations), Immunology (256 citations) and Molecular Biology (804 citations). Michael T. Boyce-Jacino has collaborated with scholars based in United States, Poland and India. Frequent co-authors include Anthony J. Faras, Mark Pohl, Trey Ideker, Scott L. Taylor, Deborah A. Nickerson, Yu-Hui Rogers, Stephen S. Rich, Pere Santamaría, S.M. Anderson and Zhijian Huang. Their work appears in journals such as Nature Biotechnology, Bioinformatics and The Journal of Immunology.
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.