John D. Maclay

1.8k citations
24 papers · 1.3k indexed · h-index 14

Impact in

Papers in

John D. Maclay

21 papers receiving 1.2k citations

Peers

John D. Maclay
Comparison fields: 5 of 84
  • Pulmonary and Respiratory Medicine 1.1k
  • Cardiology and Cardiovascular Medicine 489
  • Physiology 293
  • Internal Medicine 42
  • Issues, ethics and legal aspects 11
Replace G.J. Criner with:
G.J. Criner United States
Tolga Sinan Güvenç Türkiye
C G Wathen United Kingdom
Kirsten Laule-Kilian Switzerland
Matthew Jankowich United States
Eric Farber‐Eger United States
Pierluigi Costanzo Italy
Satoru Suwa Japan
Hans‐Jürgen Seyfarth Germany
Zohra Lamiral France
John D. Maclay relative to G.J. Criner United States G.J. Criner's profile →
Citations per field
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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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007214
2 2013183
3 2011150
4 2009141
5 2007123
6 200897
7 201281
8 201278
9 201057
10 200846
11 201332
12 200918
13 201316
14 202015
15 20175
16 20233
17 20243
18 20093
19 20242
20 20241

About John D. Maclay

John D. Maclay is a scholar working on Health Informatics, Pulmonary and Respiratory Medicine, Internal Medicine, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (12 papers), Respiratory Support and Mechanisms (6 papers), Lung Cancer Diagnosis and Treatment (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Pulmonary Hypertension Research and Treatments (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Cardiovascular Health and Disease Prevention (3 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.1k citations), Cardiology and Cardiovascular Medicine (489 citations), Physiology (293 citations), Internal Medicine (42 citations) and Issues, ethics and legal aspects (11 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 E. Newby, John T. Murchison, Grant Mair, David R. McAllister, David R. Anderson, Martin Connell and Ellen Drost. Their work appears in journals such as Thorax, American Journal of Respiratory and Critical Care Medicine, European Respiratory Journal, Respiratory Medicine and Scientific Reports.

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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