Jia En Wu

19 total papers · 940 total citations
12 papers, 204 citations indexed

About

Jia En Wu is a scholar working on Applied Microbiology and Biotechnology, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Jia En Wu has authored 12 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Applied Microbiology and Biotechnology, 4 papers in Epidemiology and 4 papers in Clinical Biochemistry. Recurrent topics in Jia En Wu's work include Antibiotic Use and Resistance (6 papers), Bacterial Identification and Susceptibility Testing (4 papers) and Urinary Tract Infections Management (2 papers). Jia En Wu is often cited by papers focused on Antibiotic Use and Resistance (6 papers), Bacterial Identification and Susceptibility Testing (4 papers) and Urinary Tract Infections Management (2 papers). Jia En Wu collaborates with scholars based in Singapore, United States and China. Jia En Wu's co-authors include Li Yang Hsu, Douglas S. Chan, Jun Li, Lina Hu, Chao Tian, Li Liu, Feng Lü, Hui Hiong Chen, Paul Anantharajah Tambyah and Ka Lip Chew and has published in prestigious journals such as International Journal of Antimicrobial Agents, Antibiotics and Virulence.

In The Last Decade

Jia En Wu

11 papers receiving 203 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jia En Wu	93	69	47	43	42	12	204
Gita Patel	82 0.9×	45 0.7×	3 0.1×	42 1.0×	59 1.4×	14	241
Carol Hill	93 1.0×	27 0.4×	3 0.1×	58 1.3×	57 1.4×	22	255
Mohamad Chahine	16 0.2×	57 0.8×	22 0.5×	19 0.4×	33 0.8×	19	251
Courtney Watson	23 0.2×	55 0.8×	18 0.4×	15 0.3×	55 1.3×	12	218
M. Fellhauer	63 0.7×	44 0.6×	4 0.1×	10 0.2×	36 0.9×	11	270
Ee Hui Goh	48 0.5×	35 0.5×	7 0.1×	5 0.1×	45 1.1×	8	154
Karine Bézulier	87 0.9×	17 0.2×	6 0.1×	39 0.9×	87 2.1×	8	188
Wen‐Sen Lee	36 0.4×	51 0.7×	9 0.2×	12 0.3×	101 2.4×	15	249
Catherine DeVoe	24 0.3×	23 0.3×	32 0.7×	14 0.3×	89 2.1×	13	274
Gereltuya Dorj	28 0.3×	40 0.6×	22 0.5×	1 0.0×	39 0.9×	19	239

Countries citing papers authored by Jia En Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jia En Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jia En Wu. 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 Jia En Wu. The network helps show where Jia En Wu may publish in the future.

Co-authorship network of co-authors of Jia En Wu

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

All Works

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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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