Daniel Zamora‐Valdés
- Epidemiology top 5%
- Hepatology top 2%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Molecular Biology
- Co-authors
- Nahúm Méndez‐SánchezMisael UribeMarco ArreseJulie K. HeimbachNorberto C. Chávez‐TapiaDaniel Motola‐KubaGuadalupe Ponciano‐RodríguezTimuçin Taner
- Topics
- Liver Disease Diagnosis and Treatment (15 papers)Organ Transplantation Techniques and Outcomes (9 papers)Liver Disease and Transplantation (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaHepatologyClinica Chimica Acta
- Partner nations
- MexicoUnited StatesChile
In The Last Decade
Daniel Zamora‐Valdés
34 papers receiving 957 citations
Peers
Comparison fields: 5 of 79
- Epidemiology 512
- Hepatology 321
- Surgery 319
- Endocrinology, Diabetes and Metabolism 169
- Molecular Biology 161
Countries citing papers authored by Daniel Zamora‐Valdés
This map shows the geographic impact of Daniel Zamora‐Valdés'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 Zamora‐Valdés with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Zamora‐Valdés more than expected).
Fields of papers citing papers by Daniel Zamora‐Valdés
This network shows the impact of papers produced by Daniel Zamora‐Valdés. 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 Zamora‐Valdés. The network helps show where Daniel Zamora‐Valdés may publish in the future.
Co-authorship network of co-authors of Daniel Zamora‐Valdés
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Zamora‐Valdés. A scholar is included among the top collaborators of Daniel Zamora‐Valdés 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 Zamora‐Valdés. Daniel Zamora‐Valdés 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 30 | |
| 6 | 42 | |
| 7 | 41 | |
| 8 | 23 | |
| 9 | 1 | |
| 10 | 14 | |
| 11 | 10 | |
| 12 | 12 | |
| 13 | High prevalence of overweight, obesity, and biochemical risk factors for cardiovascular disease among young nurses: importance of metabolic syndrome | 3 |
| 14 | 6 | |
| 15 | 21 | |
| 16 | 26 | |
| 17 | 147 | |
| 18 | 66 | |
| 19 | 23 | |
| 20 | 52 |
About Daniel Zamora‐Valdés
Daniel Zamora‐Valdés is a scholar working on Hepatology, Surgery and Epidemiology, having authored 37 papers that have together received 978 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (15 papers), Organ Transplantation Techniques and Outcomes (9 papers) and Liver Disease and Transplantation (7 papers). The work is most often cited by research in Hepatology (321 citations), Epidemiology (512 citations) and Endocrinology, Diabetes and Metabolism (169 citations). Daniel Zamora‐Valdés has collaborated with scholars based in Mexico, United States and Chile. Frequent co-authors include Nahúm Méndez‐Sánchez, Misael Uribe, Marco Arrese, Julie K. Heimbach, Norberto C. Chávez‐Tapia, Daniel Motola‐Kuba, Guadalupe Ponciano‐Rodríguez, Timuçin Taner, Charles B. Rosen and Héctor Alfredo Baptista González. Their work appears in journals such as SHILAP Revista de lepidopterología, Hepatology and Clinica Chimica Acta.
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.