Webber Liao

578 total citations
8 papers, 403 citations indexed

About

Webber Liao is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Webber Liao has authored 8 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Infectious Diseases. Recurrent topics in Webber Liao's work include Gut microbiota and health (3 papers), vaccines and immunoinformatics approaches (2 papers) and Antifungal resistance and susceptibility (2 papers). Webber Liao is often cited by papers focused on Gut microbiota and health (3 papers), vaccines and immunoinformatics approaches (2 papers) and Antifungal resistance and susceptibility (2 papers). Webber Liao collaborates with scholars based in Australia, Singapore and United Kingdom. Webber Liao's co-authors include Jonathan W. Arthur, Michael Poidinger, Francesca Zolezzi, Marina Yurieva, Norman Pavelka, Kandhadayar G. Srinivasan, Alrina Tan, Gloria Hoi Wan Tso, Xiaohui Sem and Tze Guan Tan and has published in prestigious journals such as Science, PLoS ONE and Scientific Reports.

In The Last Decade

Webber Liao

8 papers receiving 401 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Webber Liao Australia	8	192	173	99	98	80	8	403
Ge Li China	13	169 0.9×	148 0.9×	92 0.9×	82 0.8×	17 0.2×	35	479
Shunfeng Cai China	9	411 2.1×	91 0.5×	66 0.7×	41 0.4×	50 0.6×	12	680
Xingye Xu China	13	254 1.3×	195 1.1×	159 1.6×	44 0.4×	70 0.9×	24	650
Reinhard Frodl Germany	12	143 0.7×	82 0.5×	140 1.4×	36 0.4×	25 0.3×	14	493
Eugenia S. Mardanova Russia	14	306 1.6×	119 0.7×	105 1.1×	161 1.6×	14 0.2×	35	513
Xianwei Yang China	12	205 1.1×	61 0.4×	64 0.6×	30 0.3×	90 1.1×	34	429
Evelyn Argo United Kingdom	12	214 1.1×	62 0.4×	73 0.7×	41 0.4×	27 0.3×	15	371
Alrina Tan Singapore	9	218 1.1×	278 1.6×	150 1.5×	57 0.6×	116 1.4×	11	480
Yanli Zhu China	13	91 0.5×	159 0.9×	37 0.4×	60 0.6×	31 0.4×	37	456
Yoshiki Misawa Japan	12	135 0.7×	171 1.0×	160 1.6×	51 0.5×	28 0.3×	27	476

Countries citing papers authored by Webber Liao

Since Specialization

Citations

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

Fields of papers citing papers by Webber Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Webber Liao

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Tso, Gloria Hoi Wan, Jose Antonio Reales‐Calderón, Alrina Tan, et al.. (2018). Experimental evolution of a fungal pathogen into a gut symbiont. Science. 362(6414). 589–595. 179 indexed citations

2.

Cottier, Fabien, Kandhadayar G. Srinivasan, Marina Yurieva, et al.. (2018). Advantages of meta-total RNA sequencing (MeTRS) over shotgun metagenomics and amplicon-based sequencing in the profiling of complex microbial communities. npj Biofilms and Microbiomes. 4(1). 2–2. 37 indexed citations

3.

Cottier, Fabien, Alrina Tan, Marina Yurieva, et al.. (2017). The Transcriptional Response of Candida albicans to Weak Organic Acids, Carbon Source, and MIG1 Inactivation Unveils a Role for HGT16 in Mediating the Fungistatic Effect of Acetic Acid. G3 Genes Genomes Genetics. 7(11). 3597–3604. 20 indexed citations

4.

Sem, Xiaohui, Giang Truong Le, Alrina Tan, et al.. (2016). β-glucan Exposure on the Fungal Cell Wall Tightly Correlates with Competitive Fitness of Candida Species in the Mouse Gastrointestinal Tract. Frontiers in Cellular and Infection Microbiology. 6. 186–186. 35 indexed citations

5.

Paungfoo‐Lonhienne, Chanyarat, Thierry Lonhienne, Yun Kit Yeoh, et al.. (2016). Crosstalk between sugarcane and a plant-growth promoting Burkholderia species. Scientific Reports. 6(1). 37389–37389. 70 indexed citations

6.

Liao, Webber & Jonathan W. Arthur. (2011). Predicting Peptide Binding Affinities to MHC Molecules Using a Modified Semi-Empirical Scoring Function. PLoS ONE. 6(9). e25055–e25055. 13 indexed citations

7.

Liao, Webber & Jonathan W. Arthur. (2011). Predicting peptide binding to Major Histocompatibility Complex molecules. Autoimmunity Reviews. 10(8). 469–473. 41 indexed citations

8.

Liao, Webber, Andrew Collins, Matthew Hobbs, et al.. (2007). A comparative location database (CompLDB): map integration within and between species. Mammalian Genome. 18(5). 287–299. 8 indexed citations

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.

Explore authors with similar magnitude of impact