Wing‐Kin To

1.8k total citations · 1 hit paper
22 papers, 1.0k citations indexed

About

Wing‐Kin To is a scholar working on Infectious Diseases, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Wing‐Kin To has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 9 papers in Epidemiology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Wing‐Kin To's work include SARS-CoV-2 and COVID-19 Research (9 papers), SARS-CoV-2 detection and testing (8 papers) and Respiratory viral infections research (5 papers). Wing‐Kin To is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (9 papers), SARS-CoV-2 detection and testing (8 papers) and Respiratory viral infections research (5 papers). Wing‐Kin To collaborates with scholars based in China, Hong Kong and Canada. Wing‐Kin To's co-authors include Kwok‐Yung Yuen, Kwok‐Hung Chan, Kelvin Kai‐Wang To, Ivan Fan‐Ngai Hung, Vincent Chi‐Chung Cheng, Allen Wing‐Ho Chu, Jonathan Daniel Ip, Hoi‐Wah Tsoi, Kin‐Hang Kok and Wan-Mui Chan and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

In The Last Decade

Wing‐Kin To

22 papers receiving 1.0k citations

Hit Papers

Coronavirus Disease 2019 (COVID-19) Re-infection by a Phy... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wing‐Kin To China 14 789 210 152 101 73 22 1.0k
Sophie Gubbels Denmark 14 703 0.9× 244 1.2× 222 1.5× 151 1.5× 62 0.8× 33 1.1k
Abdullatif Al Khal Qatar 14 814 1.0× 175 0.8× 201 1.3× 86 0.9× 65 0.9× 20 1.0k
Nadhira Houhou‐Fidouh France 13 1.2k 1.6× 351 1.7× 109 0.7× 131 1.3× 138 1.9× 24 1.6k
Krutika Kuppalli United States 9 530 0.7× 177 0.8× 70 0.5× 97 1.0× 108 1.5× 16 825
Nancy Bellei Brazil 18 599 0.8× 552 2.6× 59 0.4× 71 0.7× 43 0.6× 88 1.1k
Hailing Chang China 12 781 1.0× 155 0.7× 68 0.4× 138 1.4× 36 0.5× 22 1.1k
Rafael Araos Chile 14 1.0k 1.3× 166 0.8× 170 1.1× 67 0.7× 211 2.9× 44 1.3k
Nan-Chang Chiu Taiwan 13 321 0.4× 259 1.2× 64 0.4× 82 0.8× 51 0.7× 28 739
María Saavedra-Campos United Kingdom 9 662 0.8× 129 0.6× 48 0.3× 176 1.7× 33 0.5× 17 840
Guillermina Kuan United States 16 594 0.8× 518 2.5× 113 0.7× 49 0.5× 47 0.6× 35 1.1k

Countries citing papers authored by Wing‐Kin To

Since Specialization
Citations

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

Fields of papers citing papers by Wing‐Kin To

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wing‐Kin To. 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 Wing‐Kin To. The network helps show where Wing‐Kin To may publish in the future.

Co-authorship network of co-authors of Wing‐Kin To

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

All Works

20 of 20 papers shown
1.
To, Wing‐Kin, et al.. (2024). Antifungal efficacy of natural antiseptic products against Candida auris. Medical Mycology. 62(7). 3 indexed citations
2.
Cheng, Vincent Chi‐Chung, Shuk‐Ching Wong, Simon Yung-Chun So, et al.. (2022). Decreased Antibiotic Consumption Coincided with Reduction in Bacteremia Caused by Bacterial Species with Respiratory Transmission Potential during the COVID-19 Pandemic. Antibiotics. 11(6). 746–746. 21 indexed citations
3.
Ho, Alex Yat-Man, et al.. (2021). Invasive Burkholderia cepacia Complex Infections among Persons Who Inject Drugs, Hong Kong, China, 2016–2019. Emerging infectious diseases. 28(2). 323–330. 9 indexed citations
4.
To, Kelvin Kai‐Wang, Xin Li, David Christopher Lung, et al.. (2021). False Coronavirus Disease 2019 Cases due to Contamination by Inactivated Virus Vaccine. Clinical Infectious Diseases. 74(8). 1485–1488. 6 indexed citations
6.
To, Kelvin Kai‐Wang, Jonathan Daniel Ip, Allen Wing‐Ho Chu, et al.. (2020). Unique SARS-CoV-2 clusters causing a large COVID-19 outbreak in Hong Kong.. Clinical Infectious Diseases. 9 indexed citations
7.
Ip, Jonathan Daniel, Kin‐Hang Kok, Wan-Mui Chan, et al.. (2020). Intra-host non-synonymous diversity at a neutralizing antibody epitope of SARS-CoV-2 spike protein N-terminal domain. Clinical Microbiology and Infection. 27(9). 1350.e1–1350.e5. 21 indexed citations
8.
To, Kelvin Kai‐Wang, Ivan Fan‐Ngai Hung, Jonathan Daniel Ip, et al.. (2020). Coronavirus Disease 2019 (COVID-19) Re-infection by a Phylogenetically Distinct Severe Acute Respiratory Syndrome Coronavirus 2 Strain Confirmed by Whole Genome Sequencing. Clinical Infectious Diseases. 73(9). e2946–e2951. 449 indexed citations breakdown →
9.
To, Kelvin Kai‐Wang, Ivan Fan‐Ngai Hung, Kwok‐Hung Chan, et al.. (2020). Serum Antibody Profile of a Patient With Coronavirus Disease 2019 Reinfection. Clinical Infectious Diseases. 72(10). e659–e662. 41 indexed citations
10.
To, Kelvin Kai‐Wang, Wan-Mui Chan, Jonathan Daniel Ip, et al.. (2020). Unique Clusters of Severe Acute Respiratory Syndrome Coronavirus 2 Causing a Large Coronavirus Disease 2019 Outbreak in Hong Kong. Clinical Infectious Diseases. 73(1). 137–142. 27 indexed citations
11.
Ho, Alex Yat-Man, et al.. (2020). Thelaziasis as an uncommon cause of giant papillary conjunctivitis. European Journal of Ophthalmology. 31(6). NP45–NP47. 3 indexed citations
12.
Liu, Li, Kelvin Kai‐Wang To, Kwok‐Hung Chan, et al.. (2020). High neutralizing antibody titer in intensive care unit patients with COVID-19. Emerging Microbes & Infections. 9(1). 1664–1670. 94 indexed citations
13.
Chiu, Susan S., Mike Yat Wah Kwan, Shuo Feng, et al.. (2018). Influenza Vaccine Effectiveness Against Influenza A(H3N2) Hospitalizations in Children in Hong Kong in a Prolonged Season, 2016/2017. The Journal of Infectious Diseases. 217(9). 1365–1371. 14 indexed citations
14.
Ho, Pak‐Leung, Ya Wang, Cindy Wing‐Sze Tse, et al.. (2017). Rapid Detection of Carbapenemase Production in Enterobacteriaceae by Use of a Modified Paper Strip Carba NP Method. Journal of Clinical Microbiology. 56(1). 12 indexed citations
15.
Ho, Alex Yat-Man, et al.. (2016). Clinical features and molecular epidemiology of plasmid-mediated DHA-type AmpC β-lactamase-producing Klebsiella pneumoniae blood culture isolates, Hong Kong. Journal of Global Antimicrobial Resistance. 7. 37–42. 10 indexed citations
17.
Mak, K K, et al.. (2012). Attitudes and perceptions of influenza vaccination among Hong Kong doctors and medical students before the 2009 pandemic. European Journal of Public Health. 23(2). 257–262. 11 indexed citations
19.
Lau, Susanna K. P., Wing‐Kin To, P. Tse, et al.. (2005). Human Parainfluenza Virus 4 Outbreak and the Role of Diagnostic Tests. Journal of Clinical Microbiology. 43(9). 4515–4521. 64 indexed citations
20.
Chan, Paul K.S., Wing‐Kin To, Rebecca K.Y. Lam, et al.. (2004). Laboratory Diagnosis of SARS. Emerging infectious diseases. 10(5). 825–831. 103 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.

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