Edward Liu

649 total citations
16 papers, 321 citations indexed

About

Edward Liu is a scholar working on Molecular Biology, Epidemiology and Microbiology. According to data from OpenAlex, Edward Liu has authored 16 papers receiving a total of 321 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Epidemiology and 5 papers in Microbiology. Recurrent topics in Edward Liu's work include Antimicrobial Peptides and Activities (3 papers), Antifungal resistance and susceptibility (2 papers) and Reproductive tract infections research (2 papers). Edward Liu is often cited by papers focused on Antimicrobial Peptides and Activities (3 papers), Antifungal resistance and susceptibility (2 papers) and Reproductive tract infections research (2 papers). Edward Liu collaborates with scholars based in United States, Grenada and Pakistan. Edward Liu's co-authors include Susan M. Kardos, Heather G. Peske, David Kauffman, Susan M. Johnson, Arif Asif, Michael Levitt, Richard L. Gallo, Alexander R. Horswill, Nadja B. Cech and Shadi Khalil and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Journal of Allergy and Clinical Immunology.

In The Last Decade

Edward Liu

15 papers receiving 274 citations

Peers

Edward Liu
Comparison fields: 5 of 83
  • Education 200
  • Sociology and Political Science 37
  • Molecular Biology 29
  • Epidemiology 26
  • Dermatology 21
Replace Shuhua An with:
Shuhua An China
Yukiko Watanabe Japan
Maurício Roberto Motta Pinto da Luz Brazil
Sherry Ward United States
Guodong Liang United States
Kate McGovern United States
Tony Carr United Kingdom
Claudia Borghetti Italy
Collins United Kingdom
Natalie A. Wright United States
Shuhua An China View profile →
Citations per field, relative to Edward Liu
Edward Liu · 1×
Citations per year, relative to Edward Liu
Edward Liu · 1×

Countries citing papers authored by Edward Liu

Since Specialization
Citations

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

Fields of papers citing papers by Edward Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edward Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Edward Liu. A scholar is included among the top collaborators of Edward Liu 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 Edward Liu. Edward Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
# Work Indexed citations
1 1
2 1
3 18
4 2
5 21
6 0
7 3
8 9
9 4
10 1
11 5
12 11
13 3
14 30
15 172
16 40

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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