Crystal Kwan

24 papers receiving 334 citations

Peers

Crystal Kwan
Comparison fields: 5 of 85
  • Hepatology 77
  • Health 46
  • Neuropsychology and Physiological Psychology 7
  • Emergency Medical Services 26
  • Demography 31
Replace Paul Kavanagh with:
Paul Kavanagh Ireland
George Philip Malaysia
Kate Robinson United Kingdom
Chenhong Peng Hong Kong
Sharmistha Basu United States
Trutz Haase Ireland
Timo Clemens Netherlands
Madalena Ramos Portugal
Alan R. Weil United States
Effie Simou Greece
Crystal Kwan relative to Paul Kavanagh Ireland Paul Kavanagh's profile →
Citations per field
00.5×6.2×
Paul Kavanagh · 1×
Citations per year

Countries citing papers authored by Crystal Kwan

Since Specialization
Citations

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

Fields of papers citing papers by Crystal Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Crystal Kwan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Crystal Kwan Line = papers co-authored together Crystal Kwan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201991
2 201746
3 201842
4 201831
5 202215
6 201714
7 202213
8 202212
9 202010
10 202010
11 20218
12 20218
13 20058
14 20137
15 20235
16 20254
17 20224
18 20224
19 20154
20 20243

About Crystal Kwan

Crystal Kwan is a scholar working on Sociology and Political Science, General Health Professions, Health, Clinical Psychology and Pharmacology, having authored 26 papers that have together received 347 indexed citations. Recurring topics across this work include Health disparities and outcomes (6 papers), Disaster Management and Resilience (4 papers), Participatory Visual Research Methods (3 papers), Social Work Education and Practice (3 papers), Homelessness and Social Issues (3 papers), Disaster Response and Management (3 papers), Resilience and Mental Health (3 papers) and Musculoskeletal pain and rehabilitation (3 papers). The work is most often cited by research in Hepatology (77 citations), Health (46 citations), Neuropsychology and Physiological Psychology (7 citations), Emergency Medical Services (26 citations) and Demography (31 citations). Crystal Kwan has collaborated with scholars based in Hong Kong, Canada and China. Frequent co-authors include Christine A. Walsh, Albert Chan, Nancy Kwan Man, Chung Mau Lo, Jeff Dai, Ronnie T. P. Poon, Ksh Chok, Arnold Yu Lok Wong, Marta Shaw and Daniel W. L. Lai. Their work appears in journals such as International Journal of Environmental Research and Public Health, International Journal of Disaster Risk Reduction, International Social Work, Social Work Education and Journal of Pain.

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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