Jamin Liu

1.4k citations
9 papers · 162 · h-index 6

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 detection and testing
    • Vaccine Coverage and Hesitancy

Papers in

    • SARS-CoV-2 and COVID-19 Research 4
    • Single-cell and spatial transcriptomics 2
    • Natural product bioactivities and synthesis 1
    • Plant biochemistry and biosynthesis 1

Jamin Liu

8 papers receiving 158 citations

Peers

Jamin Liu
Comparison fields: 5 of 48
  • Infectious Diseases 73
  • Health 17
  • Modeling and Simulation 10
  • Neurology 23
  • Pharmacology 20
Replace Qiaoli Peng with:
Qiaoli Peng China
Raghda E. Eldesouki Egypt
Mazuba Siamatu United States
Kaimin Chan Hong Kong
Omar Abdullah United States
Victoria Giffin United States
Anna Hayman Robertson Norway
Sarah Ducat United States
Benjamin Chung United States
Antonino Salvia Italy
Jamin Liu relative to Qiaoli Peng China Qiaoli Peng's profile →
Citations per field
00.5×6.7×
Qiaoli Peng · 1×
Citations per year

Countries citing papers authored by Jamin Liu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

9 of 9 papers shown
#Work
1 202240
2 202031
3 202231
4 202328
5 202214
6 202312
7 20175
8 20251
9 20220

About Jamin Liu

Jamin Liu is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Modeling and Simulation and Pharmacology, having authored 9 papers that have together received 162 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), COVID-19 epidemiological studies (2 papers), Single-cell and spatial transcriptomics (2 papers), Cytomegalovirus and herpesvirus research (1 paper), Natural product bioactivities and synthesis (1 paper), Vaccine Coverage and Hesitancy (1 paper), Plant biochemistry and biosynthesis (1 paper) and Autoimmune Neurological Disorders and Treatments (1 paper). The work is most often cited by research in Infectious Diseases (73 citations), Health (17 citations), Modeling and Simulation (10 citations), Neurology (23 citations) and Pharmacology (20 citations). Jamin Liu has collaborated with scholars based in United States and Austria. Frequent co-authors include Joseph L. DeRisi, Diane V. Havlir, Sara Sunshine, Genay Pilarowski, Carina Marquez, Anthea Mitchell, Chung‐Yu Wang, Matthew T. Laurie, Maya Petersen and Wenbo Ning. Their work appears in journals such as mBio, Open Forum Infectious Diseases, The Journal of Infectious Diseases, Brain Communications and Chem.

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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