Raph Goldacre

65 papers receiving 2.2k citations

Raph Goldacre's Hit Papers

COVID-19 pandemic and admission rates for and management of acute coronary syndromes in England 2020 · 438 citations
4380+2+4Years since publication100200300400

Peers

Raph Goldacre
Comparison fields: 5 of 119
  • Neurology 437
  • Ophthalmology 118
  • Oncology 306
  • Pathology and Forensic Medicine 176
  • Neurology 84
Replace Maurizio Clementi with:
Maurizio Clementi Italy
Luis J. Jara Mexico
Anisur Rahman United Kingdom
Alexandros A. Drosos Greece
César Ramos-Remus Mexico
Eduardo Ferreira Borba Brazil
Erika Gromnica‐Ihle Germany
Doron Comaneshter Israel
Chiara Tani Italy
Jenny Ngai Hong Kong
Raph Goldacre relative to Maurizio Clementi Italy Maurizio Clementi's profile →
Citations per field
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Citations per year

Countries citing papers authored by Raph Goldacre

Since Specialization
Citations

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

Fields of papers citing papers by Raph Goldacre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1
COVID-19 pandemic and admission rates for and management of acute coronary syndromes in England
Hit paper breakdown →
2020438
2 2018173
3 2013136
4 201888
5 201380
6 201473
7 201472
8 201458
9 202257
10 201654
11 201250
12 201647
13 201344
14 201343
15 201741
16 201738
17 201237
18 201636
19 201434
20 201634

About Raph Goldacre

Raph Goldacre is a scholar working on Pathology and Forensic Medicine, Surgery, Neurology, Epidemiology and Genetics, having authored 71 papers that have together received 2.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (6 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Maternal and Perinatal Health Interventions (3 papers), Hip and Femur Fractures (2 papers), Venous Thromboembolism Diagnosis and Management (2 papers), Bacterial Infections and Vaccines (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Retinal Diseases and Treatments (2 papers). The work is most often cited by research in Neurology (437 citations), Ophthalmology (118 citations), Oncology (306 citations), Pathology and Forensic Medicine (176 citations) and Neurology (84 citations). Raph Goldacre has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Michael J Goldacre, Tiarnán D L Keenan, Julia Pakpoor, Sreeram V Ramagopalan, Martin R. Turner, Kevin Talbot, Martin Landray, Eva Morris, Alastair J. Noyce and Andrew J. Pollard. Their work appears in journals such as Neurology, The Lancet Regional Health - Europe, Multiple Sclerosis Journal, The Lancet Infectious Diseases and Journal of Neurology Neurosurgery & Psychiatry.

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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