Daniel Costa

154 papers receiving 4.0k citations

Daniel Costa's Hit Papers

Testing complex models with small sample sizes: A historical overview and empirical demonstration of what Partial Least Squares (PLS) can offer differential psychology 2014 · 325 citations
3250+4+8Years since publication100200300

Peers

Daniel Costa
Comparison fields: 5 of 180
  • Medical Terminology 10
  • Oncology 799
  • Geriatrics and Gerontology 97
  • Pediatrics, Perinatology and Child Health 307
  • Health 110
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Roberta W. Scherer United States
Fiona Godlee United Kingdom
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Alexandra E. Shields United States
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Trish Groves United Kingdom
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Citations per year

Countries citing papers authored by Daniel Costa

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Costa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Testing complex models with small sample sizes: A historical overview and empirical demonstration of what Partial Least Squares (PLS) can offer differential psychology
Hit paper breakdown →
2014325
2 2014155
3 2016105
4 2016104
5 201697
6 201097
7 201794
8 201794
9 201689
10 201683
11 201579
12 202177
13 201577
14 201574
15 202170
16 201566
17 202063
18 201360
19 201558
20 201957

About Daniel Costa

Daniel Costa is a scholar working on Oncology, Pharmacology, General Health Professions, Economics and Econometrics and Sociology and Political Science, having authored 159 papers that have together received 4.0k indexed citations. Recurring topics across this work include Cancer survivorship and care (21 papers), Health Systems, Economic Evaluations, Quality of Life (13 papers), Musculoskeletal pain and rehabilitation (11 papers), Family Support in Illness (7 papers), Cancer-related cognitive impairment studies (6 papers), Child and Adolescent Psychosocial and Emotional Development (5 papers), Childhood Cancer Survivors' Quality of Life (5 papers) and Palliative Care and End-of-Life Issues (5 papers). The work is most often cited by research in Medical Terminology (10 citations), Oncology (799 citations), Geriatrics and Gerontology (97 citations), Pediatrics, Perinatology and Child Health (307 citations) and Health (110 citations). Daniel Costa has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Phyllis Butow, Madeleine King, Joanna E. Fardell, Harold W. Willaby, Bruce D. Burns, Carolyn MacCann, Richard D. Roberts, Rebecca Mercieca‐Bebber, Claudia Rutherford and Skye Dong. Their work appears in journals such as Psycho-Oncology, Quality of Life Research, BMJ Open, Supportive Care in Cancer and Journal of Clinical Oncology.

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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