Josepmaria Argemí
- Molecular Biology
- Epidemiology top 10%
- Hepatology top 5%
- Pathology and Forensic Medicine top 10%
- Immunology
- Co-authors
- Ramón BatallerCarmen BerasainMatías A. ÁvilaJesús PrìetoMaite G. Fernández‐BarrenaLaura Moreno‐GalarragaBruno SangroArturo H. Ariño
- Topics
- Liver Disease Diagnosis and Treatment (35 papers)Alcohol Consumption and Health Effects (24 papers)Liver Disease and Transplantation (12 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Josepmaria Argemí
75 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 114
- Molecular Biology 429
- Epidemiology 421
- Hepatology 229
- Pathology and Forensic Medicine 195
- Immunology 155
Countries citing papers authored by Josepmaria Argemí
This map shows the geographic impact of Josepmaria Argemí'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 Josepmaria Argemí with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josepmaria Argemí more than expected).
Fields of papers citing papers by Josepmaria Argemí
This network shows the impact of papers produced by Josepmaria Argemí. 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 Josepmaria Argemí. The network helps show where Josepmaria Argemí may publish in the future.
Co-authorship network of co-authors of Josepmaria Argemí
This figure shows the co-authorship network connecting the top 25 collaborators of Josepmaria Argemí. A scholar is included among the top collaborators of Josepmaria Argemí 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 Josepmaria Argemí. Josepmaria Argemí 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 | 6 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 10 | |
| 8 | 16 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 0 | |
| 13 | 7 | |
| 14 | 48 | |
| 15 | 12 | |
| 16 | 56 | |
| 17 | 69 | |
| 18 | 15 | |
| 19 | 35 | |
| 20 | 52 |
About Josepmaria Argemí
Josepmaria Argemí is a scholar working on Hepatology, Pathology and Forensic Medicine and Epidemiology, having authored 82 papers that have together received 1.2k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (35 papers), Alcohol Consumption and Health Effects (24 papers) and Liver Disease and Transplantation (12 papers). The work is most often cited by research in Hepatology (229 citations), Epidemiology (421 citations) and Pathology and Forensic Medicine (195 citations). Josepmaria Argemí has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Ramón Bataller, Carmen Berasain, Matías A. Ávila, Jesús Prìeto, Maite G. Fernández‐Barrena, Laura Moreno‐Galarraga, Bruno Sangro, Arturo H. Ariño, Tomás Aragón and Alejandro Fernández‐Montero. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.
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.