Marc Martínez‐Llordella
- Immunology top 0.5%
- Surgery top 5%
- Transplantation top 0.5%
- Hepatology top 1%
- Molecular Biology
- Co-authors
- Jeffrey A. BluestoneSamantha L. Bailey-BucktroutCristina PeñarandaAlberto Sánchez‐FueyoWendy RosenthalXuyu ZhouMeredith AshbyMaki Nakayama
- Topics
- Immune Cell Function and Interaction (17 papers)T-cell and B-cell Immunology (15 papers)Renal Transplantation Outcomes and Treatments (10 papers)
- Cited by
- TransplantationImmunologyHepatology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- United KingdomSpainUnited States
In The Last Decade
Marc Martínez‐Llordella
40 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Immunology 2.6k
- Surgery 884
- Transplantation 815
- Hepatology 632
- Molecular Biology 585
Countries citing papers authored by Marc Martínez‐Llordella
This map shows the geographic impact of Marc Martínez‐Llordella'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 Marc Martínez‐Llordella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Martínez‐Llordella more than expected).
Fields of papers citing papers by Marc Martínez‐Llordella
This network shows the impact of papers produced by Marc Martínez‐Llordella. 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 Marc Martínez‐Llordella. The network helps show where Marc Martínez‐Llordella may publish in the future.
Co-authorship network of co-authors of Marc Martínez‐Llordella
This figure shows the co-authorship network connecting the top 25 collaborators of Marc Martínez‐Llordella. A scholar is included among the top collaborators of Marc Martínez‐Llordella 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 Marc Martínez‐Llordella. Marc Martínez‐Llordella is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 29 | |
| 6 | 10 | |
| 7 | 37 | |
| 8 | 36 | |
| 9 | 107 | |
| 10 | 120 | |
| 11 | 8 | |
| 12 | 68 | |
| 13 | 90 | |
| 14 | Molecular Profiling of Acute Cellular Rejection in Liver Transplantation | 0 |
| 15 | 97 | |
| 16 | 149 | |
| 17 | 302 | |
| 18 | 52 | |
| 19 | 53 | |
| 20 | 234 |
About Marc Martínez‐Llordella
Marc Martínez‐Llordella is a scholar working on Transplantation, Hepatology and Immunology, having authored 42 papers that have together received 4.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (17 papers), T-cell and B-cell Immunology (15 papers) and Renal Transplantation Outcomes and Treatments (10 papers). The work is most often cited by research in Transplantation (815 citations), Immunology (2.6k citations) and Hepatology (632 citations). Marc Martínez‐Llordella has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Jeffrey A. Bluestone, Samantha L. Bailey-Bucktrout, Cristina Peñaranda, Alberto Sánchez‐Fueyo, Wendy Rosenthal, Xuyu Zhou, Meredith Ashby, Maki Nakayama, Lukas T. Jeker and Juan José Lozano. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental 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.