Lisa E. Gralinski

20.5k citations
53 papers · 5.9k indexed · 4 hit papers · h-index 30

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 detection and testing
    • COVID-19 epidemiological studies

Papers in

Lisa E. Gralinski

51 papers receiving 5.8k citations

Hit Papers

Understanding COVID-19-associated coagulopathy 2022 · 191 citations
1912015202620182022250500750

Peers

Lisa E. Gralinski
Comparison fields: 5 of 154
  • Infectious Diseases 4.1k
  • Modeling and Simulation 383
  • Animal Science and Zoology 834
  • Neurology 809
  • Immunology 981
Replace Yushun Wan with:
Yushun Wan China
Jian Shang China
Vineet D. Menachery United States
Jincun Zhao China
Yusen Zhou China
Anthony R. Fehr United States
Timothy P. Sheahan United States
Rudragouda Channappanavar United States
Jianhua Sui China
Mohan Somasundaran United States
Lisa E. Gralinski relative to Yushun Wan China Yushun Wan's profile →
Citations per field
00.5×3.4×
Yushun Wan · 1×
Citations per year

Countries citing papers authored by Lisa E. Gralinski

Since Specialization
Citations

This map shows the geographic impact of Lisa E. Gralinski'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 Lisa E. Gralinski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lisa E. Gralinski more than expected).

Fields of papers citing papers by Lisa E. Gralinski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa E. Gralinski. 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 Lisa E. Gralinski. The network helps show where Lisa E. Gralinski may publish in the future.

Co-authors

The 25 scholars most cited alongside Lisa E. Gralinski, 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 Lisa E. Gralinski Line = papers co-authored together Lisa E. Gralinski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Understanding COVID-19-associated coagulopathy
Hit paper breakdown →
2022191
2 202118
3 20217
4 202052
5 2020332
6 2020381
7 20202
8 201786
9 201719
10 201648
11
A SARS-like cluster of circulating bat coronaviruses shows potential for human emergence
Hit paper breakdown →
2015560
12 2015101
13 201536
14 201481
15 201381
16 201315
17 2010214
18 200958
19 20076
20 200616

About Lisa E. Gralinski

Lisa E. Gralinski is a scholar working on Infectious Diseases, Animal Science and Zoology, Immunology, Modeling and Simulation and Epidemiology, having authored 53 papers that have together received 5.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (30 papers), Animal Virus Infections Studies (11 papers), Viral gastroenteritis research and epidemiology (9 papers), interferon and immune responses (9 papers), Influenza Virus Research Studies (9 papers), COVID-19 Clinical Research Studies (8 papers), Respiratory viral infections research (7 papers) and Virus-based gene therapy research (4 papers). The work is most often cited by research in Infectious Diseases (4.1k citations), Modeling and Simulation (383 citations), Animal Science and Zoology (834 citations), Neurology (809 citations) and Immunology (981 citations). Lisa E. Gralinski has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Vineet D. Menachery, Ralph S. Baric, Boyd L. Yount, Sudhakar Agnihothram, Trevor Scobey, Rachel L. Graham, Mark T. Heise, Timothy P. Sheahan, Sarah R. Leist and Alan C. Whitmore. Their work appears in journals such as mBio, Journal of Virology, G3 Genes Genomes Genetics, Proceedings of the National Academy of Sciences and BMC Systems Biology.

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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