Johnson Mak
Impact in
- Virology top 0.1%
- HIV Research and Treatment
- Infectious Diseases top 0.5%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
- Virology 72
- HIV Research and Treatment 72
-
- RNA and protein synthesis mechanisms 15
- RNA Research and Splicing 11
- Lipid Membrane Structure and Behavior 8
- Co-authors
- Suzanne M. Crowe (11 shared papers)Lawrence Kleiman (14 shared papers)Miranda Shehu-Xhilaga (7 shared papers)Shahan Campbell (4 shared papers)Redmond P. Smyth (18 shared papers)Roland Marquet (9 shared papers)Jean‐Christophe Paillart (6 shared papers)Mark A. Wainberg (8 shared papers)
In The Last Decade
Johnson Mak
96 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 127
- Virology 2.6k
- Infectious Diseases 1.5k
- Immunology 862
- Microbiology 229
- Molecular Biology 2.4k
Countries citing papers authored by Johnson Mak
This map shows the geographic impact of Johnson Mak'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 Johnson Mak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johnson Mak more than expected).
Fields of papers citing papers by Johnson Mak
This network shows the impact of papers produced by Johnson Mak. 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 Johnson Mak. The network helps show where Johnson Mak may publish in the future.
Co-authors
The 25 scholars most cited alongside Johnson Mak, 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 364 | |
| 2 | 2004 | 235 | |
| 3 | 2001 | 230 | |
| 4 | 2001 | 192 | |
| 5 | 2010 | 186 | |
| 6 | 1997 | 181 | |
| 7 | 1993 | 178 | |
| 8 | 1994 | 161 | |
| 9 | 1997 | 141 | |
| 10 | 2002 | 123 | |
| 11 | 1994 | 106 | |
| 12 | 2012 | 95 | |
| 13 | 2003 | 94 | |
| 14 | 2014 | 93 | |
| 15 | 2011 | 89 | |
| 16 | 2006 | 87 | |
| 17 | 2010 | 83 | |
| 18 | 1994 | 79 | |
| 19 | 2009 | 71 | |
| 20 | 2001 | 70 |
About Johnson Mak
Johnson Mak is a scholar working on Virology, Molecular Biology, Infectious Diseases, Immunology and Epidemiology, having authored 97 papers that have together received 4.8k indexed citations. Recurring topics across this work include HIV Research and Treatment (72 papers), HIV/AIDS drug development and treatment (32 papers), Immune Cell Function and Interaction (16 papers), RNA and protein synthesis mechanisms (15 papers), RNA Research and Splicing (11 papers), Cytomegalovirus and herpesvirus research (11 papers), Lipid Membrane Structure and Behavior (8 papers) and Herpesvirus Infections and Treatments (6 papers). The work is most often cited by research in Virology (2.6k citations), Infectious Diseases (1.5k citations), Immunology (862 citations), Microbiology (229 citations) and Molecular Biology (2.4k citations). Johnson Mak has collaborated with scholars based in Australia, France and Canada. Frequent co-authors include Suzanne M. Crowe, Lawrence Kleiman, Miranda Shehu-Xhilaga, Shahan Campbell, Redmond P. Smyth, Roland Marquet, Jean‐Christophe Paillart, Mark A. Wainberg, Miles P. Davenport and Min Jiang. Their work appears in journals such as Journal of Virology, PLoS Pathogens, AIDS, RNA Biology and Nucleic Acids Research.
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.