Robert Macaulay

59 papers receiving 3.4k citations

Robert Macaulay's Hit Papers

Assessment of autonomic function in humans by heart rate spectral analysis 1985 · 2.4k citations
2.4k0+13+27Years since publication50010001.5k2.0k

Peers

Robert Macaulay
Comparison fields: 5 of 135
  • Cardiology and Cardiovascular Medicine 2.1k
  • Complementary and alternative medicine 337
  • Genetics 403
  • Neurology 393
  • Endocrine and Autonomic Systems 174
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Robert Macaulay relative to Kaoru Sakatani Japan Kaoru Sakatani's profile →
Citations per field
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Citations per year

Countries citing papers authored by Robert Macaulay

Since Specialization
Citations

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

Fields of papers citing papers by Robert Macaulay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Assessment of autonomic function in humans by heart rate spectral analysis
Hit paper breakdown →
19852394
2 2002115
3 2002101
4 202196
5 200292
6 199391
7 199969
8 200363
9 201042
10 200133
11 199930
12 201724
13 199723
14 200422
15 199922
16 200118
17 202118
18 202316
19 201616
20 201615

About Robert Macaulay

Robert Macaulay is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Molecular Biology, Oncology and Neurology, having authored 68 papers that have together received 3.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (27 papers), Cancer Immunotherapy and Biomarkers (11 papers), Brain Metastases and Treatment (9 papers), Meningioma and schwannoma management (5 papers), Immune cells in cancer (5 papers), Pituitary Gland Disorders and Treatments (4 papers), Histone Deacetylase Inhibitors Research (4 papers) and Melanoma and MAPK Pathways (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.1k citations), Complementary and alternative medicine (337 citations), Genetics (403 citations), Neurology (393 citations) and Endocrine and Autonomic Systems (174 citations). Robert Macaulay has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Bruce Pomeranz, Daniel C. Shannon, Richard J. Cohen, A. C. Barger, al. et, David Gordon, Marie A. Caudill, Ilan Kutz, D. Adam and Venita Jay. Their work appears in journals such as Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques, Neuro-Oncology, Journal of Clinical Oncology, Cells and International Journal of Molecular Sciences.

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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