Lisa Miorin

34 papers receiving 2.2k citations

Hit Papers

Zika Virus Targets Human STAT2 to Inhibit Type I Interfer...201620262019202220162021200400600

Peers

Lisa Miorin
Comparison fields: 5 of 92
  • Infectious Diseases 1.4k
  • Public Health, Environmental and Occupational Health 891
  • Immunology 661
  • Epidemiology 472
  • Molecular Biology 454
Replace Amelia K. Pinto with:
Amelia K. Pinto United States
Maudry Laurent-Rolle United States
Hwee Cheng Tan Singapore
Marie‐Pascale Frenkiel France
Giovanna Barba–Spaeth France
Juliet Morrison United States
Jillian M. Carr Australia
Florence Guivel‐Benhassine France
Bronwyn M. Gunn United States
Yiu‐Wing Kam Singapore
Lisa Miorin relative to Amelia K. Pinto United States Amelia K. Pinto's profile →
Citations per field
00.5×1.6×
Amelia K. Pinto · 1×
Citations per year

Countries citing papers authored by Lisa Miorin

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Miorin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Miorin

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Miorin. A scholar is included among the top collaborators of Lisa Miorin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lisa Miorin. Lisa Miorin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 31
3 4
4 17
5 80
6 4
7 28
8
MDA5 Governs the Innate Immune Response to SARS-CoV-2 in Lung Epithelial Cellsbreakdown →
257
9 59
10 4
11 106
12 31
13 35
14
Zika Virus Targets Human STAT2 to Inhibit Type I Interferon Signalingbreakdown →
614
15 10
16 137
17 139
18 39
19 38
20 3

About Lisa Miorin

Lisa Miorin is a scholar working on Infectious Diseases, Immunology and Virology, having authored 35 papers that have together received 2.2k indexed citations. Recurring topics across this work include interferon and immune responses (11 papers), Mosquito-borne diseases and control (10 papers) and Viral Infections and Vectors (10 papers). The work is most often cited by research in Infectious Diseases (1.4k citations), Immunology (661 citations) and Public Health, Environmental and Occupational Health (891 citations). Lisa Miorin has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Adolfo Garcı́a-Sastre, Shashank Tripathi, Marion Sourisseau, Matthew J. Evans, Megan Schwarz, María Paz Sánchez‐Seco, Sanket S. Ponia, Vinod Balasubramaniam, Sonja M. Best and Ricardo Rajsbaum. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Experimental Medicine.

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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