Daniel S. Gardner

38 papers receiving 658 citations

Peers

Daniel S. Gardner
Comparison fields: 5 of 108
  • Neuropsychology and Physiological Psychology 29
  • Demography 108
  • General Health Professions 224
  • Linguistics and Language 31
  • Public Health, Environmental and Occupational Health 197
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Chris McVittie United Kingdom
Anne Woollett United Kingdom
Abigail Locke United Kingdom
Mona Weiss Germany
Jim Mitchell United States
Lisa S. Wagner United States
Loretta L. Pecchioni United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniel S. Gardner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Gardner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20235
2 202117
3 201914
4 201820
5 20170
6 20173
7 201635
8 20154
9 201512
10 201361
11 201128
12 201052
13 200912
14 20094
15 200925
16 200831
17 20079
18 20049
19 200424
20 200235

About Daniel S. Gardner

Daniel S. Gardner is a scholar working on Neuropsychology and Physiological Psychology, Research and Theory, Public Health, Environmental and Occupational Health, General Health Professions and Clinical Psychology, having authored 39 papers that have together received 689 indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (13 papers), Geriatric Care and Nursing Homes (9 papers), Childhood Cancer Survivors' Quality of Life (4 papers), Family Support in Illness (4 papers), Grief, Bereavement, and Mental Health (4 papers), Patient Dignity and Privacy (3 papers), Economic and Financial Impacts of Cancer (3 papers) and Cancer survivorship and care (3 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (29 citations), Demography (108 citations), General Health Professions (224 citations), Linguistics and Language (31 citations) and Public Health, Environmental and Occupational Health (197 citations). Daniel S. Gardner has collaborated with scholars based in United States and Germany. Frequent co-authors include Meredith Doherty, Betty J. Kramer, Alison Moore, Frederick Muench, Alexis Kuerbis, R. Kirk Belnap, Dan P. Dewey, Allison Werner‐Lin, Sarah Johnson and Angela Ghesquiere. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Annals of Palliative Medicine, Annals of the Rheumatic Diseases, Innovation in Aging and Journal of Gerontological Social Work.

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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