Clifford Wong

30 total papers · 805 total citations
13 papers, 354 citations indexed

About

Clifford Wong is a scholar working on Epidemiology, Hepatology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Clifford Wong has authored 13 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 10 papers in Hepatology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Clifford Wong's work include Hepatitis B Virus Studies (10 papers), Liver Disease Diagnosis and Treatment (10 papers) and Hepatitis C virus research (9 papers). Clifford Wong is often cited by papers focused on Hepatitis B Virus Studies (10 papers), Liver Disease Diagnosis and Treatment (10 papers) and Hepatitis C virus research (9 papers). Clifford Wong collaborates with scholars based in United States, Taiwan and China. Clifford Wong's co-authors include Mindie H. Nguyen, An K. Le, Huy N. Trinh, Christopher K. Wong, Jian Zhang, Hwai‐I Yang, Linda Henry, Ramsey Cheung, Yee Hui Yeo and Nghia Nguyen and has published in prestigious journals such as The Journal of Infectious Diseases, Clinical Pharmacology & Therapeutics and BMC Public Health.

In The Last Decade

Clifford Wong

13 papers receiving 348 citations

Author Peers

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

Author						Papers	Cites
Clifford Wong	303	273	25	24	12	13	354
Herbert L. Lim	236 0.8×	275 1.0×	38 1.5×	37 1.5×	15 1.3×	9	380
Bianca Della Guardia	152 0.5×	237 0.9×	20 0.8×	12 0.5×	6 0.5×	16	339
Piergiorgio Mosca	168 0.6×	206 0.8×	38 1.5×	38 1.6×	9 0.8×	16	372
Raffaella Francesconi	268 0.9×	328 1.2×	18 0.7×	26 1.1×	17 1.4×	13	398
David Goldstein	251 0.8×	253 0.9×	52 2.1×	24 1.0×	11 0.9×	12	368
Isabel Carmona	235 0.8×	208 0.8×	30 1.2×	33 1.4×	17 1.4×	17	359
F. Barbaria	241 0.8×	161 0.6×	29 1.2×	19 0.8×	8 0.7×	11	324
R. D'Souza	308 1.0×	297 1.1×	25 1.0×	10 0.4×	16 1.3×	11	402
Shigemune Bekki	308 1.0×	308 1.1×	38 1.5×	15 0.6×	13 1.1×	9	373
Toby Delahooke	207 0.7×	195 0.7×	43 1.7×	36 1.5×	15 1.3×	15	299

Countries citing papers authored by Clifford Wong

Since Specialization

Citations

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

Fields of papers citing papers by Clifford Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clifford Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Clifford Wong. A scholar is included among the top collaborators of Clifford Wong 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 Clifford Wong. Clifford Wong 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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