Daniel Morillo

1.9k total citations
66 papers, 1.2k citations indexed

About

Daniel Morillo is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Hematology. According to data from OpenAlex, Daniel Morillo has authored 66 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pulmonary and Respiratory Medicine, 12 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Hematology. Recurrent topics in Daniel Morillo's work include Chronic Obstructive Pulmonary Disease (COPD) Research (14 papers), Multiple Myeloma Research and Treatments (8 papers) and Non-Invasive Vital Sign Monitoring (7 papers). Daniel Morillo is often cited by papers focused on Chronic Obstructive Pulmonary Disease (COPD) Research (14 papers), Multiple Myeloma Research and Treatments (8 papers) and Non-Invasive Vital Sign Monitoring (7 papers). Daniel Morillo collaborates with scholars based in Spain, United States and Germany. Daniel Morillo's co-authors include M. A. López-Gordo, Miguel Ángel Fernández Granero, F. Della Valle, Antonio León‐Jiménez, Antonio León Jiménez, Nicole Groß, Marcial García‐Rojo, Miguel A. Fernandez, Lidia Atienza-Cuevas and Esther Berrocoso and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Expert Systems with Applications.

In The Last Decade

Daniel Morillo

58 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Morillo Spain 18 362 307 280 243 151 66 1.2k
Sandrine de Ribaupierre Canada 27 232 0.6× 432 1.4× 284 1.0× 224 0.9× 341 2.3× 166 2.3k
Fu‐Shan Jaw Taiwan 19 140 0.4× 179 0.6× 247 0.9× 89 0.4× 94 0.6× 102 1.1k
Christer Grönlund Sweden 19 263 0.7× 417 1.4× 172 0.6× 76 0.3× 88 0.6× 65 1.1k
Andrew Melbourne United Kingdom 23 181 0.5× 131 0.4× 171 0.6× 70 0.3× 66 0.4× 98 1.8k
Constantinos Loukas Greece 20 105 0.3× 304 1.0× 145 0.5× 67 0.3× 135 0.9× 61 1.1k
Marc Braun France 20 246 0.7× 119 0.4× 473 1.7× 80 0.3× 135 0.9× 105 1.7k
Yvonne W. Lui United States 28 343 0.9× 148 0.5× 369 1.3× 40 0.2× 118 0.8× 99 2.6k
Michael Friebe Germany 17 223 0.6× 290 0.9× 118 0.4× 67 0.3× 21 0.1× 146 1.1k
Mina Park South Korea 20 198 0.5× 145 0.5× 61 0.2× 100 0.4× 157 1.0× 152 1.5k
Richard H. Wiggins United States 26 300 0.8× 75 0.2× 109 0.4× 115 0.5× 37 0.2× 105 2.0k

Countries citing papers authored by Daniel Morillo

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Morillo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Morillo

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Morillo. A scholar is included among the top collaborators of Daniel Morillo 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 Daniel Morillo. Daniel Morillo 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
1.
Schwind, Valentin, et al.. (2025). Improving Social Acceptance of Orthopedic Foot Orthoses Through Image-Generative AI in Product Design. Applied Sciences. 15(8). 4132–4132. 1 indexed citations
2.
3.
Campos‐Caro, Antonio, et al.. (2025). Multimodal Fusion of Chest X-Rays and Blood Biomarkers for Automated Silicosis Staging. Journal of Clinical Medicine. 14(22). 8074–8074.
4.
5.
Schwind, Valentin, et al.. (2024). The Impact of Visual Feedback and Avatar Presence on Balance in Virtual Reality. Zenodo (CERN European Organization for Nuclear Research). 555–559. 2 indexed citations
6.
Morillo, Daniel, et al.. (2024). Integrating routine blood biomarkers and artificial intelligence for supporting diagnosis of silicosis in engineered stone workers. Bioengineering & Translational Medicine. 9(6). e10694–e10694. 6 indexed citations
7.
Morillo, Daniel, et al.. (2023). CDK9 INHIBITORS: a promising combination partner in the treatment of hematological malignancies. Oncotarget. 14(1). 749–752. 6 indexed citations
8.
Krishnan, Amrita, Luciano J. Costa, Carolina Schinke, et al.. (2023). P-023 Talquetamab, a G protein–coupled receptor family C group 5 member D × CD3 bispecific antibody, in relapsed/refractory multiple myeloma: efficacy and safety of patient subgroups from monumenTAL-1. Clinical Lymphoma Myeloma & Leukemia. 23. S45–S46. 5 indexed citations
9.
Bhosale, Santosh D., Daniel Morillo, Ismael Sánchez-Gomar, et al.. (2023). Cardiovascular-related proteomic changes in ECFCs exposed to the serum of COVID-19 patients. International Journal of Biological Sciences. 19(6). 1664–1680. 2 indexed citations
10.
Rodríguez‐Otero, Paula, Anita D’Souza, Donna Reece, et al.. (2022). S188: TECLISTAMAB IN COMBINATION WITH DARATUMUMAB, A NOVEL, IMMUNOTHERAPY-BASED APPROACH FOR THE TREATMENT OF RELAPSED/REFRACTORY MULTIPLE MYELOMA: UPDATED PHASE 1B RESULTS. HemaSphere. 6. 89–90. 12 indexed citations
11.
Morillo, Daniel, et al.. (2022). Combining Molecular, Imaging, and Clinical Data Analysis for Predicting Cancer Prognosis. Cancers. 14(13). 3215–3215. 32 indexed citations
12.
Torres-Sánchez, Sonia, et al.. (2021). Automated Mouse Pupil Size Measurement System to Assess Locus Coeruleus Activity with a Deep Learning-Based Approach. Sensors. 21(21). 7106–7106. 5 indexed citations
13.
Granero, Miguel Ángel Fernández, Daniel Morillo, & Antonio León‐Jiménez. (2018). An artificial intelligence approach to early predict symptom-based exacerbations of COPD. Biotechnology & Biotechnological Equipment. 32(3). 778–784. 48 indexed citations
14.
Granero, Miguel Ángel Fernández, et al.. (2017). Automatic CDR Estimation for Early Glaucoma Diagnosis. Journal of Healthcare Engineering. 2017. 1–14. 15 indexed citations
15.
Morillo, Daniel, et al.. (2017). Physiological closed-loop control in intelligent oxygen therapy: A review. Computer Methods and Programs in Biomedicine. 146. 101–108. 14 indexed citations
16.
Morillo, Daniel, Miguel Ángel Fernández Granero, & Antonio León Jiménez. (2015). Detecting COPD exacerbations early using daily telemonitoring of symptoms and k-means clustering: a pilot study. Medical & Biological Engineering & Computing. 53(5). 441–451. 38 indexed citations
17.
Morillo, Daniel, et al.. (2015). Development and Evaluation of an Automated, Home‐Based, Electronic Questionnaire for Detecting COPD Exacerbations. Journal of Healthcare Engineering. 6(4). 705–716. 1 indexed citations
18.
Morillo, Daniel, et al.. (2013). Computer-aided diagnosis of pneumonia in patients with chronic obstructive pulmonary disease. Journal of the American Medical Informatics Association. 20(e1). e111–e117. 51 indexed citations
19.
Morillo, Daniel, et al.. (2011). Development of an automated questionnaire for the early detection of COPD exacerbations (AQCE). European Respiratory Journal. 38(Suppl 55). p562–p562. 1 indexed citations
20.
Morillo, Daniel, et al.. (2007). Monitoring and Analysis of Cardio Respiratory and Snoring Signals by using an Accelerometer. Conference proceedings. 20. 3942–3945. 10 indexed citations

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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