David Newell

2.2k total citations
76 papers, 1.3k citations indexed

About

David Newell is a scholar working on Pharmacology, Cognitive Neuroscience and Pathology and Forensic Medicine. According to data from OpenAlex, David Newell has authored 76 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Pharmacology, 15 papers in Cognitive Neuroscience and 13 papers in Pathology and Forensic Medicine. Recurrent topics in David Newell's work include Musculoskeletal pain and rehabilitation (42 papers), Pain Management and Placebo Effect (13 papers) and Spine and Intervertebral Disc Pathology (13 papers). David Newell is often cited by papers focused on Musculoskeletal pain and rehabilitation (42 papers), Pain Management and Placebo Effect (13 papers) and Spine and Intervertebral Disc Pathology (13 papers). David Newell collaborates with scholars based in United Kingdom, United States and Denmark. David Newell's co-authors include Jonathan Field, Diane Doran, Michelle M. Holmes, Jennifer E. Bolton, Felicity L. Bishop, George Lewith, Alison Rushton, R. Chris Miall, Huiru Zheng and Haiying Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Spine.

In The Last Decade

David Newell

70 papers receiving 1.2k citations

Peers

David Newell
Comparison fields: 5 of 123
  • Pharmacology 597
  • Pathology and Forensic Medicine 237
  • Psychiatry and Mental health 204
  • Cognitive Neuroscience 190
  • General Health Professions 175
Replace Robert Froud with:
Robert Froud United Kingdom
Matthew Jennings Australia
Sionnadh McLean United Kingdom
Remko Soer Netherlands
Jennifer Klaber Moffett United Kingdom
Vinícius Cunha Oliveira Brazil
Sibylle Reinsch United States
Felipe José Jandre dos Reis Brazil
Pascal Coorevits Belgium
Jackie Oldham United Kingdom
Robert Froud United Kingdom View profile →
Citations per field, relative to David Newell
David Newell · 1×
Citations per year, relative to David Newell
David Newell · 1×

Countries citing papers authored by David Newell

Since Specialization
Citations

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

Fields of papers citing papers by David Newell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Newell

This figure shows the co-authorship network connecting the top 25 collaborators of David Newell. A scholar is included among the top collaborators of David Newell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Newell. David Newell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 0
3 0
4 43
5 5
6 12
7 34
8 5
9
PROMs data: can it be used to make decisions for individual patients? A narrative review
2
10 23
11 14
12 15
13 13
14 9
15 13
16 26
17 52
18 35
19 67
20 8

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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