S Mak
Impact in
Papers in
- Genetics 20
- Virus-based gene therapy research 20
-
- Viral Infectious Diseases and Gene Expression in Insects 9
- CRISPR and Genetic Engineering 4
- RNA Interference and Gene Delivery 3
- Molecular Biology Techniques and Applications 3
- Co-authors
- T. Subramanian (2 shared papers)G. Chinnadurai (2 shared papers)M Kuppuswamy (2 shared papers)James R. Smiley (3 shared papers)John W. Gysbers (1 shared paper)Frank L. Graham (2 shared papers)Vincent Ng (1 shared paper)Pauline Cho (1 shared paper)
- Journals
- Journal of Virology (11 papers)Virology (2 papers)Experimental Cell Research (2 papers)International Journal of Gynecology & Obstetrics (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- CanadaUnited StatesHong Kong
In The Last Decade
S Mak
21 papers receiving 488 citations
Peers
Comparison fields: 5 of 55
- Genetics 454
- Oncology 207
- Infectious Diseases 133
- Molecular Biology 396
- Biotechnology 36
Countries citing papers authored by S Mak
This map shows the geographic impact of S 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 S Mak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S Mak more than expected).
Fields of papers citing papers by S Mak
This network shows the impact of papers produced by S 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 S Mak. The network helps show where S Mak may publish in the future.
Co-authors
The 25 scholars most cited alongside S 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 85 | |
| 2 | 1982 | 54 | |
| 3 | 1981 | 52 | |
| 4 | 1984 | 50 | |
| 5 | 2000 | 44 | |
| 6 | 1986 | 41 | |
| 7 | 1979 | 39 | |
| 8 | 1983 | 32 | |
| 9 | 1981 | 28 | |
| 10 | 1993 | 26 | |
| 11 | 1968 | 21 | |
| 12 | 1992 | 18 | |
| 13 | 1978 | 15 | |
| 14 | 1977 | 14 | |
| 15 | 1982 | 9 | |
| 16 | 1972 | 8 | |
| 17 | 1986 | 8 | |
| 18 | 1976 | 8 | |
| 19 | 1979 | 8 | |
| 20 | 1974 | 8 |
About S Mak
S Mak is a scholar working on Genetics, Molecular Biology, Oncology, Infectious Diseases and Animal Science and Zoology, having authored 22 papers that have together received 576 indexed citations. Recurring topics across this work include Virus-based gene therapy research (20 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers), CAR-T cell therapy research (8 papers), CRISPR and Genetic Engineering (4 papers), RNA Interference and Gene Delivery (3 papers), Molecular Biology Techniques and Applications (3 papers), Animal Virus Infections Studies (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Genetics (454 citations), Oncology (207 citations), Infectious Diseases (133 citations), Molecular Biology (396 citations) and Biotechnology (36 citations). S Mak has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include T. Subramanian, G. Chinnadurai, M Kuppuswamy, James R. Smiley, John W. Gysbers, Frank L. Graham, Vincent Ng, Pauline Cho, Philip E. Branton and Joanne Gunby. Their work appears in journals such as Journal of Virology, Virology, Experimental Cell Research, International Journal of Gynecology & Obstetrics and Journal of Biological Chemistry.
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.