Kin‐Kit Li

3.7k citations
50 papers · 2.4k indexed · 2 hit papers · h-index 23

Impact in

Papers in

Kin‐Kit Li

47 papers receiving 2.3k citations

Hit Papers

Community Responses during Early Phase of COVID-19 Epidemic, Hong Kong 2020 · 316 citations
3162020202620222024100200300400

Peers

Kin‐Kit Li
Comparison fields: 5 of 136
  • Health 725
  • Modeling and Simulation 260
  • Applied Psychology 227
  • Clinical Psychology 801
  • Neuropsychology and Physiological Psychology 49
Replace Frédérique Vallières with:
Frédérique Vallières Ireland
Jamie Murphy United Kingdom
Stéphane Legleye France
Orla McBride United Kingdom
Jude Mary Cénat Canada
Florence Baingana United Kingdom
François Beck France
Stéphanie Baggio Switzerland
Mohammed A. Mamun Bangladesh
Yingnan Jia China
Kin‐Kit Li relative to Frédérique Vallières Ireland Frédérique Vallières's profile →
Citations per field
00.5×10.1×
Frédérique Vallières · 1×
Citations per year

Countries citing papers authored by Kin‐Kit Li

Since Specialization
Citations

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

Fields of papers citing papers by Kin‐Kit Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Kin‐Kit Li, 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 Kin‐Kit Li Line = papers co-authored together Kin‐Kit Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20235
3 20231
4 20229
5 202216
6 20225
7 202129
8
Influenza vaccine uptake, COVID-19 vaccination intention and vaccine hesitancy among nurses: A survey
Hit paper breakdown →
2020488
9 201817
10 201555
11 201353
12 201175
13 201197
14 201143
15 201013
16 200915
17 200931
18 200988
19 200916
20 2008149

About Kin‐Kit Li

Kin‐Kit Li is a scholar working on Health, Applied Psychology, Modeling and Simulation, Neuropsychology and Physiological Psychology and Clinical Psychology, having authored 50 papers that have together received 2.4k indexed citations. Recurring topics across this work include Vaccine Coverage and Hesitancy (9 papers), Child and Adolescent Psychosocial and Emotional Development (8 papers), Behavioral Health and Interventions (8 papers), COVID-19 epidemiological studies (7 papers), Physical Activity and Health (7 papers), Intergenerational Family Dynamics and Caregiving (5 papers), Youth Development and Social Support (5 papers) and Media Influence and Health (4 papers). The work is most often cited by research in Health (725 citations), Modeling and Simulation (260 citations), Applied Psychology (227 citations), Clinical Psychology (801 citations) and Neuropsychology and Physiological Psychology (49 citations). Kin‐Kit Li has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Kin On Kwok, Samuel Yeung Shan Wong, Arthur Tang, Wan In Wei, Shui Shan Lee, Alan C. Acock, Samuel Vuchinich, Brian R. Flay, Michael W. Beets and Bradley J. Cardinal. Their work appears in journals such as Journal of Sport and Exercise Psychology, International Journal of Nursing Studies, The Journals of Gerontology Series B, Prevention Science and Psychology and Health.

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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