Silvia Salgado
Impact in
- Hepatology top 5%
- Liver physiology and pathology
- Liver Disease and Transplantation
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- Liver Disease Diagnosis and Treatment
- Hepatitis B Virus Studies
Papers in
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- Liver Disease Diagnosis and Treatment 4
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- Liver physiology and pathology 4
- Liver Disease and Transplantation 3
- Co-authors
- Miriam Ruth Bueno‐Topete (3 shared papers)José María Vera-Cruz (3 shared papers)Jesús Garcı́a (2 shared papers)Javier Villafuerte-Gálvez (2 shared papers)Adriana Salazar (1 shared paper)Martha H. Ramos (1 shared paper)Juan Armendáriz‐Borunda (3 shared papers)Fernando Siller-López (1 shared paper)
- Journals
- Molecular Therapy (2 papers)Biotropica (1 paper)Hydrological Processes (1 paper)Gastroenterology (1 paper)The Journal of Gene Medicine (1 paper)
- Partner nations
- MexicoEcuadorUnited States
In The Last Decade
Silvia Salgado
6 papers receiving 321 citations
Peers
Comparison fields: 5 of 72
- Hepatology 202
- Epidemiology 155
- Ecological Modeling 11
- Cancer Research 27
- Nature and Landscape Conservation 21
Countries citing papers authored by Silvia Salgado
This map shows the geographic impact of Silvia Salgado'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 Silvia Salgado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Salgado more than expected).
Fields of papers citing papers by Silvia Salgado
This network shows the impact of papers produced by Silvia Salgado. 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 Silvia Salgado. The network helps show where Silvia Salgado may publish in the future.
Co-authors
The 25 scholars most cited alongside Silvia Salgado, 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 | 2004 | 140 | |
| 2 | 2000 | 101 | |
| 3 | 2007 | 39 | |
| 4 | 2006 | 23 | |
| 5 | 2022 | 16 | |
| 6 | 2003 | 13 |
About Silvia Salgado
Silvia Salgado is a scholar working on Epidemiology, Hepatology, Nature and Landscape Conservation, Civil and Structural Engineering and Management, Monitoring, Policy and Law, having authored 6 papers that have together received 332 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Liver physiology and pathology (4 papers), Liver Disease and Transplantation (3 papers), Soil and Unsaturated Flow (1 paper), Fire effects on ecosystems (1 paper), Forest ecology and management (1 paper), Ecology and Vegetation Dynamics Studies (1 paper) and Landslides and related hazards (1 paper). The work is most often cited by research in Hepatology (202 citations), Epidemiology (155 citations), Ecological Modeling (11 citations), Cancer Research (27 citations) and Nature and Landscape Conservation (21 citations). Silvia Salgado has collaborated with scholars based in Mexico, Ecuador and United States. Frequent co-authors include Miriam Ruth Bueno‐Topete, José María Vera-Cruz, Jesús Garcı́a, Javier Villafuerte-Gálvez, Adriana Salazar, Martha H. Ramos, Juan Armendáriz‐Borunda, Fernando Siller-López, Ana Sandoval-Rodríguez and Karsten Wesche. Their work appears in journals such as Molecular Therapy, Biotropica, Hydrological Processes, Gastroenterology and The Journal of Gene Medicine.
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.