David Morland

532 citations
69 papers · 299 · h-index 9

Impact in

Papers in

David Morland

59 papers receiving 290 citations

Peers

David Morland
Comparison fields: 5 of 86
  • Nephrology 39
  • Microbiology 3
  • Radiology, Nuclear Medicine and Imaging 89
  • Health Informatics 4
  • Pulmonary and Respiratory Medicine 85
Replace Xiuhe Zou with:
Xiuhe Zou China
Denise Lee United States
Sharon Armstrong United Kingdom
Myung‐Chul Lee South Korea
Qingjun Li China
Seyed Ali Mirshahvalad Canada
Tommaso Bianco Italy
Young-Rok Do South Korea
Pietro Antonio Cicalese United States
Yao Hu China
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Citations per field
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Xiuhe Zou · 1×
Citations per year

Countries citing papers authored by David Morland

Since Specialization
Citations

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

Fields of papers citing papers by David Morland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198341
2 201315
3 201615
4 202014
5 202213
6 201811
7 201811
8 202210
9 20169
10 20248
11 20237
12 20237
13 20236
14 20245
15 20155
16 20175
17 20225
18 20215
19 20185
20 20224

About David Morland

David Morland is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Neurology, Epidemiology and Pathology and Forensic Medicine, having authored 69 papers that have together received 299 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (19 papers), Radiomics and Machine Learning in Medical Imaging (15 papers), Medical Imaging and Pathology Studies (10 papers), Lymphoma Diagnosis and Treatment (10 papers), Neuroendocrine Tumor Research Advances (9 papers), Lung Cancer Research Studies (8 papers), Neuroblastoma Research and Treatments (7 papers) and Sarcoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Nephrology (39 citations), Microbiology (3 citations), Radiology, Nuclear Medicine and Imaging (89 citations), Health Informatics (4 citations) and Pulmonary and Respiratory Medicine (85 citations). David Morland has collaborated with scholars based in France, Italy and United States. Frequent co-authors include Elizabeth Katherine Anna Triumbari, Sophie Deguelte, Dimitri Papathanassiou, Salvatore Annunziata, Luca Boldrini, Roberto Gatta, Brigitte Delemer, Izzie Jacques Namer, Daniele Antonio Pizzuto and Christian Marescaux. Their work appears in journals such as Medicine, Clinical Nuclear Medicine, Journal of Nuclear Medicine, The Journal of Pediatrics and Cancers.

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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