Roberto Tapia‐Conyer
- Cardiology and Cardiovascular Medicine
- Public Health, Environmental and Occupational Health
- Epidemiology
- Physiology
- General Health Professions
- Co-authors
- Rachel WadeLouisa GnatiucJonathan EmbersonRory CollinsJesús Alegre-DíazPablo Kuri‐MoralesRaúl Ramírez-ReyesSarah Lewington
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Blood Pressure and Hypertension Studies (4 papers)Obesity, Physical Activity, Diet (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaKidney InternationalInternational Journal of Epidemiology
- Partner nations
- MexicoUnited KingdomMalaysia
In The Last Decade
Roberto Tapia‐Conyer
12 papers receiving 57 citations
Peers
Comparison fields: 5 of 38
- Cardiology and Cardiovascular Medicine 14
- Public Health, Environmental and Occupational Health 13
- Epidemiology 12
- Physiology 11
- General Health Professions 11
Countries citing papers authored by Roberto Tapia‐Conyer
This map shows the geographic impact of Roberto Tapia‐Conyer'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 Roberto Tapia‐Conyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Tapia‐Conyer more than expected).
Fields of papers citing papers by Roberto Tapia‐Conyer
This network shows the impact of papers produced by Roberto Tapia‐Conyer. 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 Roberto Tapia‐Conyer. The network helps show where Roberto Tapia‐Conyer may publish in the future.
Co-authorship network of co-authors of Roberto Tapia‐Conyer
This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Tapia‐Conyer. A scholar is included among the top collaborators of Roberto Tapia‐Conyer 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 Roberto Tapia‐Conyer. Roberto Tapia‐Conyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 10 | |
| 11 | 9 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 7 |
About Roberto Tapia‐Conyer
Roberto Tapia‐Conyer is a scholar working on Endocrinology, Diabetes and Metabolism, Health and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 57 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Blood Pressure and Hypertension Studies (4 papers) and Obesity, Physical Activity, Diet (2 papers). The work is most often cited by research in Health (9 citations), Nephrology (6 citations) and Cardiology and Cardiovascular Medicine (14 citations). Roberto Tapia‐Conyer has collaborated with scholars based in Mexico, United Kingdom and Malaysia. Frequent co-authors include Rachel Wade, Louisa Gnatiuc, Jonathan Emberson, Rory Collins, Jesús Alegre-Díaz, Pablo Kuri‐Morales, Raúl Ramírez-Reyes, Sarah Lewington, William G. Herrington and Eirini Trichia. Their work appears in journals such as SHILAP Revista de lepidopterología, Kidney International and International Journal of Epidemiology.
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.