Mai Johnson
- Genetics top 5%
- Virus-based gene therapy research 15
- Immunology top 10%
- Biotechnology top 5%
- Cancer Research and Treatments 3
- Oncology top 10%
- CAR-T cell therapy research 3
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 10
- Viral Infectious Diseases and Gene Expression in Insects 4
- Molecular Biology Techniques and Applications 4
- bioluminescence and chemiluminescence research 2
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- Prostate Cancer Treatment and Research 5
- Co-authors
- Lily WuMakoto SatoSanjiv S. GambhirM. Luisa Iruela‐ArispeMichael CareyJeremy B. BurtonIrvin S. Y. ChenSaul J. Priceman
- Cited by
- GeneticsImmunologyBiotechnology
- Journals
- Nature Medicine (3 papers)Trends in Molecular Medicine (2 papers)Journal of Nuclear Medicine (2 papers)
- Partner nations
- United StatesIndiaFinland
In The Last Decade
Mai Johnson
22 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 79
- Genetics 447
- Immunology 321
- Biotechnology 127
- Oncology 318
- Molecular Biology 700
Countries citing papers authored by Mai Johnson
This map shows the geographic impact of Mai Johnson'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 Mai Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mai Johnson more than expected).
Fields of papers citing papers by Mai Johnson
This network shows the impact of papers produced by Mai Johnson. 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 Mai Johnson. The network helps show where Mai Johnson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mai Johnson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 94 | |
| 2 | 2020 | 2 | |
| 3 | 2013 | 5 | |
| 4 | 2012 | 11 | |
| 5 | 2011 | 12 | |
| 6 | 2009 | 9 | |
| 7 | 2009 | 22 | |
| 8 | 2009 | 282 | |
| 9 | 2008 | 16 | |
| 10 | 2008 | 61 | |
| 11 | 2007 | 40 | |
| 12 | 2006 | 48 | |
| 13 | 2005 | 182 | |
| 14 | 2005 | 34 | |
| 15 | 2005 | 28 | |
| 16 | 2005 | 26 | |
| 17 | 2003 | 44 | |
| 18 | 2003 | 44 | |
| 19 | Interrogating androgen receptor function in recurrent prostate cancer. | 2003 | 82 |
| 20 | 2002 | 149 |
About Mai Johnson
Mai Johnson is a scholar working on Genetics, Biotechnology and Molecular Biology, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Virus-based gene therapy research (15 papers), RNA Interference and Gene Delivery (10 papers), Prostate Cancer Treatment and Research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Molecular Biology Techniques and Applications (4 papers), Cancer Research and Treatments (3 papers), CAR-T cell therapy research (3 papers) and bioluminescence and chemiluminescence research (2 papers). The work is most often cited by research in Genetics (447 citations), Immunology (321 citations) and Biotechnology (127 citations). Mai Johnson has collaborated with scholars based in United States, India and Finland. Frequent co-authors include Lily Wu, Makoto Sato, Sanjiv S. Gambhir, M. Luisa Iruela‐Arispe, Michael Carey, Jeremy B. Burton, Irvin S. Y. Chen, Saul J. Priceman, Kouki Morizono and Aldons J. Lusis. Their work appears in journals such as Nature Medicine, Trends in Molecular Medicine, Journal of Nuclear Medicine, Molecular Therapy and Human Gene Therapy.
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.