P.C. Wong

39 total papers · 766 total citations
29 papers, 470 citations indexed

About

P.C. Wong is a scholar working on Infectious Diseases, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, P.C. Wong has authored 29 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 10 papers in Epidemiology and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in P.C. Wong's work include Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (4 papers) and COVID-19 Clinical Research Studies (3 papers). P.C. Wong is often cited by papers focused on Tuberculosis Research and Epidemiology (5 papers), Mycobacterium research and diagnosis (4 papers) and COVID-19 Clinical Research Studies (3 papers). P.C. Wong collaborates with scholars based in China, Hong Kong and Canada. P.C. Wong's co-authors include Siu‐Ka Mak, Kin‐Yee Lo, Andrew K. Wong, Gensy M.W. Tong, S.Y.L. Kwan, Wing-Wai Yew, B Lam, Andrew Wong, Yuk Peng Wong and Jcm Ho and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, European Respiratory Journal and American Journal of Kidney Diseases.

In The Last Decade

P.C. Wong

28 papers receiving 443 citations

Author Peers

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

Author						Papers	Cites
P.C. Wong	168	162	126	91	67	29	470
Ian Dittmer	206 1.2×	89 0.5×	75 0.6×	114 1.3×	23 0.3×	29	551
J.‐L. Meynard	272 1.6×	248 1.5×	27 0.2×	39 0.4×	35 0.5×	29	484
Edwin J. Smith	144 0.9×	140 0.9×	106 0.8×	81 0.9×	8 0.1×	21	452
Ayhan Hilmi Çekın	111 0.7×	80 0.5×	36 0.3×	131 1.4×	74 1.1×	58	483
Luciana Tanajura Santamaria Saber	113 0.7×	46 0.3×	78 0.6×	90 1.0×	29 0.4×	19	476
Fatemeh Pour-Reza-Gholi	148 0.9×	87 0.5×	90 0.7×	153 1.7×	17 0.3×	31	508
R. M. L. Mehrotra	103 0.6×	87 0.5×	43 0.3×	58 0.6×	21 0.3×	46	493
Douglas L. Hurley	173 1.0×	197 1.2×	62 0.5×	115 1.3×	22 0.3×	22	526
Javier Nieto Guevara	232 1.4×	88 0.5×	61 0.5×	104 1.1×	12 0.2×	32	538
Nelson Zocoler Galante	123 0.7×	63 0.4×	38 0.3×	146 1.6×	19 0.3×	29	481

Countries citing papers authored by P.C. Wong

Since Specialization

Citations

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

Fields of papers citing papers by P.C. Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.C. Wong

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