Mai Johnson
Impact in
- Genetics top 5%
- Virus-based gene therapy research
- Immunology top 10%
- Immune cells in cancer
Papers in
-
- RNA Interference and Gene Delivery 10
- Molecular Biology Techniques and Applications 4
- Viral Infectious Diseases and Gene Expression in Insects 4
- Genetics 15
- Virus-based gene therapy research 15
- Co-authors
- Lily Wu (19 shared papers)Makoto Sato (14 shared papers)Sanjiv S. Gambhir (7 shared papers)M. Luisa Iruela‐Arispe (2 shared papers)Michael Carey (6 shared papers)Jeremy B. Burton (4 shared papers)Irvin S. Y. Chen (2 shared papers)Saul J. Priceman (3 shared papers)
- Journals
- Nature Medicine (3 papers)Trends in Molecular Medicine (2 papers)Journal of Nuclear Medicine (2 papers)Molecular Therapy (1 paper)Nature Chemistry (1 paper)
- 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-authors
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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 282 | |
| 2 | 2005 | 182 | |
| 3 | 2002 | 149 | |
| 4 | 2022 | 94 | |
| 5 | Interrogating androgen receptor function in recurrent prostate cancer. | 2003 | 82 |
| 6 | 2008 | 61 | |
| 7 | 2006 | 48 | |
| 8 | 2003 | 44 | |
| 9 | 2003 | 44 | |
| 10 | 2007 | 40 | |
| 11 | 2005 | 34 | |
| 12 | 2005 | 28 | |
| 13 | 2005 | 26 | |
| 14 | 2009 | 22 | |
| 15 | 2008 | 16 | |
| 16 | 2011 | 12 | |
| 17 | 2012 | 11 | |
| 18 | 2009 | 9 | |
| 19 | 2020 | 9 | |
| 20 | 2006 | 8 |
About Mai Johnson
Mai Johnson is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Oncology and Biotechnology, 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), Molecular Biology Techniques and Applications (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Cancer Research and Treatments (3 papers), CAR-T cell therapy research (3 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Genetics (447 citations), Immunology (321 citations), Biotechnology (127 citations), Oncology (318 citations) and Molecular Biology (700 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 Zory Shaposhnik. Their work appears in journals such as Nature Medicine, Trends in Molecular Medicine, Journal of Nuclear Medicine, Molecular Therapy and Nature 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.