R. Macaulay

1.2k citations
71 papers · 863 · h-index 10

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
  • Aging top 10%

Papers in

    • Health Systems, Economic Evaluations, Quality of Life 52
    • Pharmaceutical Economics and Policy 40
    • Economic and Financial Impacts of Cancer 12
    • Innovation Policy and R&D 5
    • Biomedical Ethics and Regulation 18

R. Macaulay

60 papers receiving 845 citations

Peers

R. Macaulay
Comparison fields: 5 of 93
  • Immunology 517
  • Aging 23
  • Neurology 68
  • Epidemiology 259
  • Physiology 177
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Citations per field
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Citations per year

Countries citing papers authored by R. Macaulay

Since Specialization
Citations

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

Fields of papers citing papers by R. Macaulay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside R. Macaulay, 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 R. Macaulay Line = papers co-authored together R. Macaulay 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 2009188
2 2011183
3 2010122
4 2015108
5 201290
6 201125
7 201319
8 201718
9 200818
10 20169
11 20089
12 20207
13 20165
14 20215
15 20153
16 20172
17 20122
18 20182
19 20202
20 20142

About R. Macaulay

R. Macaulay is a scholar working on Economics and Econometrics, Physiology, Immunology, Oncology and Pediatrics, Perinatology and Child Health, having authored 71 papers that have together received 863 indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (52 papers), Pharmaceutical Economics and Policy (40 papers), Biomedical Ethics and Regulation (18 papers), Economic and Financial Impacts of Cancer (12 papers), Biosimilars and Bioanalytical Methods (8 papers), Pharmaceutical studies and practices (5 papers), T-cell and B-cell Immunology (5 papers) and Innovation Policy and R&D (5 papers). The work is most often cited by research in Immunology (517 citations), Aging (23 citations), Neurology (68 citations), Epidemiology (259 citations) and Physiology (177 citations). R. Macaulay has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Siân M. Henson, Arne N. Akbar, Natalie E. Riddell, Valentina Libri, Rita I Azevedo, Maria V. D. Soares, Sarah Jackson, Stephen Griffiths, Ornella Franzese and Diletta Di Mitri. Their work appears in journals such as Value in Health, International Journal of Technology Assessment in Health Care, The Journal of Immunology, Blood and Immunology.

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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