Daniel Ramirez-Cano
Impact in
- Health top 5%
- Social Media in Health Education
- General Health Professions top 5%
- Patient Satisfaction in Healthcare
- Patient-Provider Communication in Healthcare
- Health Literacy and Information Accessibility
Papers in
-
- Patient Satisfaction in Healthcare 3
- Patient-Provider Communication in Healthcare 2
- Health Literacy and Information Accessibility 1
-
- Healthcare Policy and Management 3
- Co-authors
- Ara Darzi (5 shared papers)Felix Greaves (5 shared papers)Liam Donaldson (3 shared papers)Christopher Millett (4 shared papers)Jeremy Pitt (2 shared papers)Ivo Vlaev (1 shared paper)Dominic King (1 shared paper)Simon Colton (1 shared paper)
- Journals
- BMJ Quality & Safety (2 papers)Journal of Medical Internet Research (1 paper)The Lancet (1 paper)Health Policy (1 paper)Computational and Mathematical Organization Theory (1 paper)
- Partner nations
- United KingdomGreeceUnited States
In The Last Decade
Daniel Ramirez-Cano
8 papers receiving 525 citations
Peers
Comparison fields: 5 of 99
- Health 121
- General Health Professions 224
- Organizational Behavior and Human Resource Management 69
- Health Information Management 27
- Communication 31
Countries citing papers authored by Daniel Ramirez-Cano
This map shows the geographic impact of Daniel Ramirez-Cano'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 Ramirez-Cano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ramirez-Cano more than expected).
Fields of papers citing papers by Daniel Ramirez-Cano
This network shows the impact of papers produced by Daniel Ramirez-Cano. 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 Ramirez-Cano. The network helps show where Daniel Ramirez-Cano may publish in the future.
Co-authors
The 13 scholars most cited alongside Daniel Ramirez-Cano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 220 | |
| 2 | 2013 | 185 | |
| 3 | 2013 | 68 | |
| 4 | 2006 | 29 | |
| 5 | 2010 | 16 | |
| 6 | 2011 | 13 | |
| 7 | 2012 | 13 | |
| 8 | 2014 | 5 |
About Daniel Ramirez-Cano
Daniel Ramirez-Cano is a scholar working on General Health Professions, Economics and Econometrics, Health, Sociology and Political Science and Statistical and Nonlinear Physics, having authored 8 papers that have together received 549 indexed citations. Recurring topics across this work include Patient Satisfaction in Healthcare (3 papers), Healthcare Policy and Management (3 papers), Patient-Provider Communication in Healthcare (2 papers), Opinion Dynamics and Social Influence (2 papers), Social Media in Health Education (2 papers), Complex Network Analysis Techniques (1 paper), Health Literacy and Information Accessibility (1 paper) and Artificial Intelligence in Games (1 paper). The work is most often cited by research in Health (121 citations), General Health Professions (224 citations), Organizational Behavior and Human Resource Management (69 citations), Health Information Management (27 citations) and Communication (31 citations). Daniel Ramirez-Cano has collaborated with scholars based in United Kingdom, Greece and United States. Frequent co-authors include Ara Darzi, Felix Greaves, Liam Donaldson, Christopher Millett, Jeremy Pitt, Ivo Vlaev, Dominic King, Simon Colton, Robin Baumgarten and Alexander Artikis. Their work appears in journals such as BMJ Quality & Safety, Journal of Medical Internet Research, The Lancet, Health Policy and Computational and Mathematical Organization Theory.
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.