X. Liao

577 citations
15 papers · 436 · h-index 10

Impact in

    • Microbial infections and disease research
    • Aquaculture disease management and microbiota

Papers in

    • Microbial infections and disease research 11
    • Aquaculture disease management and microbiota 8

X. Liao

14 papers receiving 422 citations

Peers

X. Liao
Comparison fields: 5 of 33
  • Microbiology 399
  • Immunology 215
  • Parasitology 55
  • Epidemiology 153
  • Animal Science and Zoology 43
Replace Nadeeka K. Wawegama with:
Nadeeka K. Wawegama Australia
Sibylle Bürki Switzerland
Lauren K. Woolley Australia
Michael Widjaja Australia
Elise Schieck Kenya
Eveline Sagné France
I. Wilkie Australia
M.G. Elfaki Saudi Arabia
Elena Mettifogo Brazil
Peter Dom Belgium
X. Liao relative to Nadeeka K. Wawegama Australia Nadeeka K. Wawegama's profile →
Citations per field
00.5×2.9×
Nadeeka K. Wawegama · 1×
Citations per year

Countries citing papers authored by X. Liao

Since Specialization
Citations

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

Fields of papers citing papers by X. Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200277
2 201750
3 200049
4 201048
5 201047
6 201238
7 201234
8 201531
9 200226
10 201421
11 20179
12 20253
13
Production of 1,3-propanediol from glycerol by engineered using a novel coexpression vector
20092
14
Identification of a novel broad-spectrum anti-fungal strain of Pseudomonas aeruginosa (SU8) and effect of its crude metabolites against Rhizoctonia solani and Pyricularia oryzae.
20151
15 20250

About X. Liao

X. Liao is a scholar working on Microbiology, Immunology, Epidemiology, Plant Science and Parasitology, having authored 15 papers that have together received 436 indexed citations. Recurring topics across this work include Microbial infections and disease research (11 papers), Aquaculture disease management and microbiota (8 papers), Herpesvirus Infections and Treatments (4 papers), Vector-borne infectious diseases (3 papers), Animal Virus Infections Studies (2 papers), Bacteriophages and microbial interactions (2 papers), Plant-Microbe Interactions and Immunity (1 paper) and Plant Pathogens and Fungal Diseases (1 paper). The work is most often cited by research in Microbiology (399 citations), Immunology (215 citations), Parasitology (55 citations), Epidemiology (153 citations) and Animal Science and Zoology (43 citations). X. Liao has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Steven J. Geary, Steven M. Szczepanek, E. R. Tulman, Salvatore Frasca, L. Papazisi, G. F. Kutish, Timothy S. Gorton, Lawrence K. Silbart, David Yogev and Vanessa Schumacher. Their work appears in journals such as Infection and Immunity, Egyptian Journal of Biological Pest Control, Microbiology, Vaccine and GigaScience.

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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