Diego Alfonso López-Mora

703 citations
29 papers · 458 indexed · h-index 11
Topics
Medical Imaging Techniques and Applications (10 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)Neurological disorders and treatments (6 papers)
Partner nations
SpainChileUnited States

In The Last Decade

Diego Alfonso López-Mora

26 papers receiving 449 citations

Peers

Diego Alfonso López-Mora
Comparison fields: 5 of 65
  • Radiology, Nuclear Medicine and Imaging 171
  • Cellular and Molecular Neuroscience 109
  • Neurology 104
  • Psychiatry and Mental health 92
  • Physiology 89
Replace Shinichiro Kitao with:
Shinichiro Kitao Japan
M. Zamburlini Canada
Jean Ménard France
David Towey United Kingdom
Yangyang Wang China
Anna Gotzamani‐Psarrakou Greece
Nick Hayward Finland
Shingo Mitaki Japan
Binghu Jiang China
Gabe Marx United States
Diego Alfonso López-Mora relative to Shinichiro Kitao Japan Shinichiro Kitao's profile →
Citations per field
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Shinichiro Kitao · 1×
Citations per year

Countries citing papers authored by Diego Alfonso López-Mora

Since Specialization
Citations

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

Fields of papers citing papers by Diego Alfonso López-Mora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego Alfonso López-Mora. 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 Diego Alfonso López-Mora. The network helps show where Diego Alfonso López-Mora may publish in the future.

Co-authorship network of co-authors of Diego Alfonso López-Mora

This figure shows the co-authorship network connecting the top 25 collaborators of Diego Alfonso López-Mora. A scholar is included among the top collaborators of Diego Alfonso López-Mora based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diego Alfonso López-Mora. Diego Alfonso López-Mora is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 28
4 1
5 2
6 9
7 11
8 29
9 2
10 61
11 4
12 12
13 49
14 98
15 24
16 3
17 13
18 0
19 1
20 35

About Diego Alfonso López-Mora

Diego Alfonso López-Mora is a scholar working on Nephrology, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 29 papers that have together received 458 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Neurological disorders and treatments (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (171 citations), Neurology (104 citations) and Nephrology (44 citations). Diego Alfonso López-Mora has collaborated with scholars based in Spain, Chile and United States. Frequent co-authors include Ignasi Carrió, Valle Camacho, Albert Flotats, Frederic Sampedro, Alejandro Fernández, Montserrat Estorch, Joan Duch, Anna Domènech, Jaime Kulisevsky and Saül Martínez‐Horta. Their work appears in journals such as PLoS ONE, Journal of Neurology Neurosurgery & Psychiatry and Neurobiology of Aging.

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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