Emma McLean

692 citations
19 papers · 515 · h-index 10

Impact in

Papers in

Emma McLean

16 papers receiving 511 citations

Peers

Emma McLean
Comparison fields: 5 of 58
  • Pulmonary and Respiratory Medicine 346
  • Radiology, Nuclear Medicine and Imaging 184
  • Oncology 145
  • Cancer Research 62
  • Health Informatics 5
Replace Nathan R. Bennion with:
Nathan R. Bennion United States
Paul Rogowski Germany
Brian Napolitano United States
Sarah Gwynne United Kingdom
Anhui Shi China
Z Y Li China
Willem Grootjans Netherlands
Suzana Stojanović-Rundić Serbia
A. Vincent United States
Lilan Zhao China
Emma McLean relative to Nathan R. Bennion United States Nathan R. Bennion's profile →
Citations per field
00.5×3.5×
Nathan R. Bennion · 1×
Citations per year

Countries citing papers authored by Emma McLean

Since Specialization
Citations

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

Fields of papers citing papers by Emma McLean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2016119
2 2012116
3 201183
4 201952
5 201340
6 201932
7 201014
8 201013
9 201812
10 202110
11 20129
12 20227
13 20234
14 20212
15 20191
16 20101
17 20250
18 20230
19 20210

About Emma McLean

Emma McLean is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 19 papers that have together received 515 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (7 papers), Lung Cancer Treatments and Mutations (5 papers), Lung Cancer Research Studies (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Medical Imaging Techniques and Applications (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Myasthenia Gravis and Thymoma (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (346 citations), Radiology, Nuclear Medicine and Imaging (184 citations), Oncology (145 citations), Cancer Research (62 citations) and Health Informatics (5 citations). Emma McLean has collaborated with scholars based in United Kingdom, Greece and Japan. Frequent co-authors include Usman Bashir, Gary Cook, Vicky Goh, James Spicer, Andrea Billè, Paul Cane, George Santis, Loı̈c Lang-Lazdunski, Ronan Breen and David Landau. Their work appears in journals such as Cytopathology, Journal of Thoracic Oncology, Histopathology, American Journal of Roentgenology and Interactive Cardiovascular and Thoracic Surgery.

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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