Patricia Ching

876 total citations
19 papers, 593 citations indexed

About

Patricia Ching is a scholar working on Infectious Diseases, Epidemiology and Surgery. According to data from OpenAlex, Patricia Ching has authored 19 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Infectious Diseases, 5 papers in Epidemiology and 3 papers in Surgery. Recurrent topics in Patricia Ching's work include Infection Control in Healthcare (5 papers), Surgical site infection prevention (3 papers) and Infection Control and Ventilation (3 papers). Patricia Ching is often cited by papers focused on Infection Control in Healthcare (5 papers), Surgical site infection prevention (3 papers) and Infection Control and Ventilation (3 papers). Patricia Ching collaborates with scholars based in Hong Kong, China and Switzerland. Patricia Ching's co-authors include WH Seto, Hua Qian, Haijian Sun, Yuguo Li, Moi Lin Ling, Didier Pittet, Le Thi Anh Thư, Oswens Siu‐Hung Lo, Jensen T. C. Poon and Joe K. M. Fan and has published in prestigious journals such as Clinical Infectious Diseases, Annals of Surgery and Building and Environment.

In The Last Decade

Patricia Ching

17 papers receiving 554 citations

Peers

Patricia Ching
Comparison fields: 5 of 102
  • Infectious Diseases 184
  • Pulmonary and Respiratory Medicine 154
  • Surgery 146
  • Emergency Medical Services 95
  • Oncology 94
Replace Matthias Schlegel with:
Matthias Schlegel Switzerland
Ann Tammelin Sweden
Yunxi Liu China
Linda Kusek United States
F. Daschner Germany
Kathleen McMullen United States
Becky Smith United States
Clarissa Oeser United Kingdom
Elizabeth Schnaubelt United States
Sarah S. Lewis United States
Matthias Schlegel Switzerland View profile →
Citations per field, relative to Patricia Ching
Patricia Ching · 1×
Citations per year, relative to Patricia Ching
Patricia Ching · 1×

Countries citing papers authored by Patricia Ching

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Ching

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Ching

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 10
2 2
3 48
4 88
5 9
6 1
7 0
8 26
9 1
10 16
11 122
12 45
13
Evaluating nursing practice models in the context of SARS
0
14 103
15 33
16 5
17 24
18 38
19 22

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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