Phillip Good

5.7k citations
143 papers · 3.6k indexed · 1 hit paper · h-index 31

Impact in

Papers in

Phillip Good

127 papers receiving 3.5k citations

Hit Papers

Permutation, Parametric and Bootstrap Tests of Hypotheses 2005 · 512 citations
5122005202620122019100200300400500

Peers

Phillip Good
Comparison fields: 5 of 213
  • Anesthesiology and Pain Medicine 297
  • Statistics and Probability 283
  • Public Health, Environmental and Occupational Health 944
  • Pediatrics, Perinatology and Child Health 511
  • Radiological and Ultrasound Technology 109
Replace Werner Vach with:
Werner Vach Germany
Clifford Qualls United States
Joel B. Greenhouse United States
Chris Frost United Kingdom
Antonio Ciampi Canada
Michael Hills United Kingdom
Douglas Curran‐Everett United States
John Ludbrook Australia
Melanie L. Bell United States
Ronald A. Thisted United States
Phillip Good relative to Werner Vach Germany Werner Vach's profile →
Citations per field
00.5×7.3×
Werner Vach · 1×
Citations per year

Countries citing papers authored by Phillip Good

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Good

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
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13 201924
14 20197
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18 20153
19 201231
20 196825

About Phillip Good

Phillip Good is a scholar working on Anesthesiology and Pain Medicine, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Clinical Psychology and Critical Care and Intensive Care Medicine, having authored 143 papers that have together received 3.6k indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (54 papers), Grief, Bereavement, and Mental Health (21 papers), Pain Management and Opioid Use (21 papers), Childhood Cancer Survivors' Quality of Life (21 papers), Cannabis and Cannabinoid Research (15 papers), Patient Dignity and Privacy (14 papers), Cancer survivorship and care (12 papers) and Pharmacological Effects and Toxicity Studies (11 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (297 citations), Statistics and Probability (283 citations), Public Health, Environmental and Occupational Health (944 citations), Pediatrics, Perinatology and Child Health (511 citations) and Radiological and Ultrasound Technology (109 citations). Phillip Good has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Reza Modarres, Janet Hardy, Alex Broom, Emma Kirby, Peter J. Ravenscroft, John Cavenagh, Alison Haywood, Jon Adams, Sue Jenkins‐Marsh and Ristan M. Greer. Their work appears in journals such as Cochrane Database of Systematic Reviews, Journal of Pain and Symptom Management, Palliative Medicine, Supportive Care in Cancer and BMJ Supportive & Palliative Care.

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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