Manuel Escobar
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Radiomics and Machine Learning in Medical Imaging 5
- MRI in cancer diagnosis 4
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- Computational Drug Discovery Methods 5
- Co-authors
- Francisco Prado-Prado (6 shared papers)Humberto González‐Díaz (5 shared papers)Xerardo Garcı́a-Mera (5 shared papers)Matilde Yáñez (3 shared papers)Albert Roque (4 shared papers)Hug Cuéllar (4 shared papers)Santiago Aguadé‐Bruix (4 shared papers)Aliuska Duardo-Sánchez (2 shared papers)
In The Last Decade
Manuel Escobar
35 papers receiving 541 citations
Peers
Comparison fields: 5 of 98
- Health Informatics 12
- Computational Theory and Mathematics 91
- Radiology, Nuclear Medicine and Imaging 97
- Microbiology 3
- Epidemiology 90
Countries citing papers authored by Manuel Escobar
This map shows the geographic impact of Manuel Escobar'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 Manuel Escobar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manuel Escobar more than expected).
Fields of papers citing papers by Manuel Escobar
This network shows the impact of papers produced by Manuel Escobar. 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 Manuel Escobar. The network helps show where Manuel Escobar may publish in the future.
Co-authors
The 25 scholars most cited alongside Manuel Escobar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 78 | |
| 2 | 2019 | 66 | |
| 3 | 2011 | 38 | |
| 4 | 2011 | 37 | |
| 5 | 2015 | 30 | |
| 6 | 2012 | 29 | |
| 7 | 2022 | 29 | |
| 8 | 2024 | 26 | |
| 9 | 2012 | 24 | |
| 10 | 1997 | 22 | |
| 11 | 2021 | 17 | |
| 12 | 2020 | 15 | |
| 13 | 2025 | 15 | |
| 14 | 2021 | 13 | |
| 15 | 1999 | 12 | |
| 16 | 2022 | 12 | |
| 17 | 2012 | 12 | |
| 18 | 2021 | 11 | |
| 19 | 2021 | 10 | |
| 20 | 2024 | 8 |
About Manuel Escobar
Manuel Escobar is a scholar working on Radiology, Nuclear Medicine and Imaging, Computational Theory and Mathematics, Physical and Theoretical Chemistry, Organic Chemistry and Inorganic Chemistry, having authored 37 papers that have together received 552 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), MRI in cancer diagnosis (4 papers), Prostate Cancer Treatment and Research (3 papers), Reservoir Engineering and Simulation Methods (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Organometallic Complex Synthesis and Catalysis (3 papers) and Hydraulic Fracturing and Reservoir Analysis (3 papers). The work is most often cited by research in Health Informatics (12 citations), Computational Theory and Mathematics (91 citations), Radiology, Nuclear Medicine and Imaging (97 citations), Microbiology (3 citations) and Epidemiology (90 citations). Manuel Escobar has collaborated with scholars based in Spain, Chile and Germany. Frequent co-authors include Francisco Prado-Prado, Humberto González‐Díaz, Xerardo Garcı́a-Mera, Matilde Yáñez, Albert Roque, Hug Cuéllar, Santiago Aguadé‐Bruix, Aliuska Duardo-Sánchez, Ignacio Ferreira‐González and Maria Nazarena Pizzi. Their work appears in journals such as Current Topics in Medicinal Chemistry, Insights into Imaging, Cancers, Medical Image Analysis and European Heart Journal - Cardiovascular Imaging.
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.