Aaron J. Mackey
Impact in
- Parasitology top 0.5%
- Toxoplasma gondii Research Studies
- Parasitic Infections and Diagnostics
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
-
- Genomics and Phylogenetic Studies 4
- Melanoma and MAPK Pathways 3
-
- Parasitic Infections and Diagnostics 3
- Toxoplasma gondii Research Studies 3
- Co-authors
- David S. Roos (6 shared papers)William R. Pearson (7 shared papers)Jeroen K. Vermunt (1 shared paper)Feng Chen (1 shared paper)Timothy Haystead (2 shared papers)Mehmet Güler (2 shared papers)James D. Gorham (2 shared papers)William F. Dietrich (2 shared papers)
- Journals
- PLoS ONE (3 papers)Nucleic Acids Research (3 papers)Bioinformatics (3 papers)Molecular & Cellular Proteomics (3 papers)Current Protocols in Bioinformatics (2 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Aaron J. Mackey
34 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 133
- Parasitology 944
- Immunology 417
- Epidemiology 565
- Virology 72
- Infectious Diseases 244
Countries citing papers authored by Aaron J. Mackey
This map shows the geographic impact of Aaron J. Mackey'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 Aaron J. Mackey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aaron J. Mackey more than expected).
Fields of papers citing papers by Aaron J. Mackey
This network shows the impact of papers produced by Aaron J. Mackey. 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 Aaron J. Mackey. The network helps show where Aaron J. Mackey may publish in the future.
Co-authors
The 25 scholars most cited alongside Aaron J. Mackey, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 417 | |
| 2 | 2007 | 365 | |
| 3 | 1996 | 333 | |
| 4 | 2007 | 289 | |
| 5 | 2007 | 185 | |
| 6 | 2002 | 184 | |
| 7 | 1996 | 179 | |
| 8 | 2005 | 130 | |
| 9 | 2005 | 128 | |
| 10 | 2007 | 79 | |
| 11 | 2003 | 75 | |
| 12 | 2014 | 45 | |
| 13 | 2012 | 44 | |
| 14 | 2008 | 41 | |
| 15 | 2002 | 37 | |
| 16 | 2012 | 31 | |
| 17 | 2015 | 30 | |
| 18 | 2012 | 29 | |
| 19 | 2016 | 29 | |
| 20 | 2015 | 28 |
About Aaron J. Mackey
Aaron J. Mackey is a scholar working on Molecular Biology, Parasitology, Surgery, Oncology and Epidemiology, having authored 34 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Parasitic Infections and Diagnostics (3 papers), Computational Drug Discovery Methods (3 papers), Toxoplasma gondii Research Studies (3 papers), Amoebic Infections and Treatments (3 papers), Melanoma and MAPK Pathways (3 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Parasitology (944 citations), Immunology (417 citations), Epidemiology (565 citations), Virology (72 citations) and Infectious Diseases (244 citations). Aaron J. Mackey has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include David S. Roos, William R. Pearson, Jeroen K. Vermunt, Feng Chen, Timothy Haystead, Mehmet Güler, James D. Gorham, William F. Dietrich, Kenneth M. Murphy and Chyi‐Song Hsieh. Their work appears in journals such as PLoS ONE, Nucleic Acids Research, Bioinformatics, Molecular & Cellular Proteomics and Current Protocols in Bioinformatics.
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.