Daniel Kim

167.9k citations
157 papers · 5.8k · h-index 40

Impact in

  • Health top 0.2%
    • Health disparities and outcomes
    • Employment and Welfare Studies
    • Food Security and Health in Diverse Populations
    • Homelessness and Social Issues

Papers in

Daniel Kim

142 papers receiving 5.5k citations

Peers

Daniel Kim
Comparison fields: 5 of 187
  • Health 1.4k
  • General Health Professions 988
  • Clinical Psychology 622
  • Applied Psychology 143
  • Neuropsychology and Physiological Psychology 41
Replace Michaela Benzeval with:
Michaela Benzeval United Kingdom
William A. Satariano United States
Mauricio Avendaño United Kingdom
Stéphanie Robert United States
Gopal K. Singh United States
Yi Zeng China
Anne Kavanagh Australia
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James P. Smith United States
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Daniel Kim

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006326
2 2008320
3 2007304
4 2005303
5 2010255
6 2004255
7 2013230
8 2006190
9 2005176
10 2006167
11 2015154
12 2007141
13 2021140
14 2008139
15 2016105
16 2006102
17 201199
18 200198
19 201395
20 200792

About Daniel Kim

Daniel Kim is a scholar working on Health, General Health Professions, Sociology and Political Science, Social Psychology and Molecular Biology, having authored 157 papers that have together received 5.8k indexed citations. Recurring topics across this work include Health disparities and outcomes (25 papers), Food Security and Health in Diverse Populations (8 papers), Psychological Well-being and Life Satisfaction (8 papers), Employment and Welfare Studies (5 papers), Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (3 papers), Healthcare Policy and Management (3 papers) and Rangeland and Wildlife Management (3 papers). The work is most often cited by research in Health (1.4k citations), General Health Professions (988 citations), Clinical Psychology (622 citations), Applied Psychology (143 citations) and Neuropsychology and Physiological Psychology (41 citations). Daniel Kim has collaborated with scholars based in United States, Canada and Norway. Frequent co-authors include Ichiro Kawachi, S. V. Subramanian, Adrianna Saada, Ichiro Kawachi, Jon E. Grant, Laura E. Levine, Marc N. Potenza, Ichiro Kawachi, S. V. Subramanian and Steven L. Gortmaker. Their work appears in journals such as Social Science & Medicine, Preventive Medicine, Journal of Epidemiology & Community Health, International Journal of Environmental Research and Public Health and BMJ Open.

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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