John D. Maclay

1.8k citations
25 papers · 1.4k · h-index 14

Impact in

Papers in

John D. Maclay

23 papers receiving 1.4k citations

Peers

John D. Maclay
Comparison fields: 5 of 70
  • Pulmonary and Respiratory Medicine 1.1k
  • Cardiology and Cardiovascular Medicine 242
  • Physiology 87
  • Complementary and alternative medicine 25
  • Health Informatics 5
Replace Susanne Brenner with:
Susanne Brenner Germany
Qin‐Hua Zhao China
William T. Bohannon United States
Luigi Salemme Italy
Pilar Ausín Spain
Rui Baptista Portugal
Adrian Peacock United Kingdom
Daniel Dumitrescu Germany
Srđan Novak Croatia
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Citations per year

Countries citing papers authored by John D. Maclay

Since Specialization
Citations

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

Fields of papers citing papers by John D. Maclay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Maclay. 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 John D. Maclay. The network helps show where John D. Maclay may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007240
2 2013206
3 2011166
4 2009149
5 2007135
6 2008105
7 201293
8 201290
9 201065
10 200849
11 201336
12 200919
13 202019
14 201317
15 20178
16 20137
17 20246
18 20234
19 20093
20 20243

About John D. Maclay

John D. Maclay is a scholar working on Pulmonary and Respiratory Medicine, Health Informatics, Cardiology and Cardiovascular Medicine, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers), Lung Cancer Diagnosis and Treatment (8 papers), Cardiovascular Health and Disease Prevention (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), AI in cancer detection (2 papers), Explainable Artificial Intelligence (XAI) (1 paper) and Cardiac Valve Diseases and Treatments (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.1k citations), Cardiology and Cardiovascular Medicine (242 citations), Physiology (87 citations), Complementary and alternative medicine (25 citations) and Health Informatics (5 citations). John D. Maclay has collaborated with scholars based in United Kingdom and Egypt. Frequent co-authors include William MacNee, David McAllister, Nicholas L. Mills, David Ernest Newby, John T. Murchison, Grant Mair, David R. Anderson, Martin Connell, Ellen Drost and Christopher A. Ludlam. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, Thorax, European Respiratory Journal, Respiratory Medicine and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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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