Jamin Liu
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- COVID-19 Clinical Research Studies
- Neurology top 10%
- Long-Term Effects of COVID-19
Papers in
-
- SARS-CoV-2 and COVID-19 Research 7
- SARS-CoV-2 detection and testing 2
-
- Bacterial Identification and Susceptibility Testing 2
- Co-authors
- Joseph L. DeRisi (7 shared papers)Carina Marquez (3 shared papers)Diane V. Havlir (3 shared papers)Anthea M. Mitchell (3 shared papers)Sara Sunshine (5 shared papers)Maya L Petersen (3 shared papers)Matthew T. Laurie (5 shared papers)Genay O.W. Pilarowski (3 shared papers)
- Journals
- Clinical Infectious Diseases (2 papers)The Journal of Infectious Diseases (2 papers)mBio (2 papers)Nature Medicine (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesFranceSweden
In The Last Decade
Jamin Liu
18 papers receiving 904 citations
Jamin Liu's Hit Papers
Peers
Comparison fields: 5 of 74
- Infectious Diseases 320
- Neurology 142
- Clinical Biochemistry 36
- Modeling and Simulation 35
- Molecular Medicine 29
Countries citing papers authored by Jamin Liu
This map shows the geographic impact of Jamin Liu'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 Jamin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamin Liu more than expected).
Fields of papers citing papers by Jamin Liu
This network shows the impact of papers produced by Jamin Liu. 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 Jamin Liu. The network helps show where Jamin Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jamin Liu, 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 | 2021 | 164 | |
| 2 | Mitigation of chromosome loss in clinical CRISPR-Cas9-engineered T cells Hit paper breakdown → | 2023 | 145 |
| 3 | 2020 | 127 | |
| 4 | 2019 | 104 | |
| 5 | 2022 | 69 | |
| 6 | 2022 | 55 | |
| 7 | 2020 | 51 | |
| 8 | 2022 | 42 | |
| 9 | 2022 | 36 | |
| 10 | 2021 | 34 | |
| 11 | 2023 | 32 | |
| 12 | 2023 | 20 | |
| 13 | 2022 | 16 | |
| 14 | 2019 | 11 | |
| 15 | 2020 | 11 | |
| 16 | Estimation of secondary household attack rates for emergent spike L452R SARS-CoV-2 variants detected by genomic surveillance at a community-based testing site in San Francisco. | 2021 | 5 |
| 17 | 2022 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2026 | 0 |
About Jamin Liu
Jamin Liu is a scholar working on Infectious Diseases, Clinical Biochemistry, Neurology, Epidemiology and Cancer Research, having authored 19 papers that have together received 924 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Bacterial Identification and Susceptibility Testing (2 papers), SARS-CoV-2 detection and testing (2 papers), Autoimmune Neurological Disorders and Treatments (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Respiratory viral infections research (1 paper), T-cell and B-cell Immunology (1 paper) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Infectious Diseases (320 citations), Neurology (142 citations), Clinical Biochemistry (36 citations), Modeling and Simulation (35 citations) and Molecular Medicine (29 citations). Jamin Liu has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Joseph L. DeRisi, Carina Marquez, Diane V. Havlir, Anthea M. Mitchell, Sara Sunshine, Maya L Petersen, Matthew T. Laurie, Genay O.W. Pilarowski, Chung‐Yu Wang and Sean Joseph Pittock. Their work appears in journals such as Clinical Infectious Diseases, The Journal of Infectious Diseases, mBio, Nature Medicine and Nature Communications.
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.