Mai Johnson

1.6k citations
23 papers · 1.3k · h-index 16

Impact in

  • Genetics top 5%
    • Virus-based gene therapy research
  • Immunology top 10%
    • Immune cells in cancer

Papers in

    • RNA Interference and Gene Delivery 9
    • Viral Infectious Diseases and Gene Expression in Insects 4
    • bioluminescence and chemiluminescence research 2
    • Molecular Biology Techniques and Applications 2
    • Virus-based gene therapy research 14

Mai Johnson

23 papers receiving 1.3k citations

Peers

Mai Johnson
Comparison fields: 5 of 79
  • Genetics 457
  • Immunology 320
  • Biotechnology 112
  • Oncology 301
  • Molecular Biology 694
Replace Xueqing Lun with:
Xueqing Lun Canada
Ken Sasai Japan
Marc Damelin United States
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Khoi Nguyen United States
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Mai Johnson relative to Xueqing Lun Canada Xueqing Lun's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mai Johnson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mai Johnson Line = papers co-authored together Mai Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009305
2 2005196
3 2002160
4 2022106
5
Interrogating androgen receptor function in recurrent prostate cancer.
200385
6 200864
7 200652
8 200348
9 200748
10 200345
11 200544
12 200531
13 200529
14 200923
15 200818
16 201115
17 201212
18 200911
19 20209
20 20069

About Mai Johnson

Mai Johnson is a scholar working on Molecular Biology, Genetics, Oncology, Pulmonary and Respiratory Medicine and Biotechnology, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (14 papers), RNA Interference and Gene Delivery (9 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Prostate Cancer Treatment and Research (4 papers), Cancer Research and Treatments (3 papers), CAR-T cell therapy research (3 papers), bioluminescence and chemiluminescence research (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Genetics (457 citations), Immunology (320 citations), Biotechnology (112 citations), Oncology (301 citations) and Molecular Biology (694 citations). Mai Johnson has collaborated with scholars based in United States, Finland and India. Frequent co-authors include Lily Wu, Makoto Sato, Sanjiv S. Gambhir, M. Luisa Iruela‐Arispe, Michael Carey, Jeremy B. Burton, Kouki Morizono, Irvin S. Y. Chen, Saul J. Priceman and Diana Moughon. Their work appears in journals such as Nature Medicine, Journal of Nuclear Medicine, Trends in Molecular Medicine, ACS Chemical Biology and Molecular 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.

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