Martín Fauda
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Organ and Tissue Transplantation Research
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- Liver Disease and Transplantation
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Liver Disease and Transplantation 5
- Hepatocellular Carcinoma Treatment and Prognosis 4
- Surgery 8
- Organ Transplantation Techniques and Outcomes 8
- Co-authors
- Gabriel Gondolesi (4 shared papers)Luis G. Podestá (7 shared papers)Seigo Nishida (1 shared paper)Bernhard Sauter (1 shared paper)David E.R. Sutherland (1 shared paper)Arthur J. Matas (1 shared paper)Kishore Iyer (1 shared paper)G. Rodriguez‐Laiz (1 shared paper)
- Journals
- Transplantation (3 papers)Annals of Oncology (1 paper)Future Oncology (1 paper)Transplant International (1 paper)HPB (1 paper)
- Partner nations
- ArgentinaUnited StatesItaly
In The Last Decade
Martín Fauda
13 papers receiving 217 citations
Peers
Comparison fields: 5 of 51
- Transplantation 107
- Hepatology 45
- Nutrition and Dietetics 55
- Surgery 148
- Public Health, Environmental and Occupational Health 64
Countries citing papers authored by Martín Fauda
This map shows the geographic impact of Martín Fauda'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 Martín Fauda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martín Fauda more than expected).
Fields of papers citing papers by Martín Fauda
This network shows the impact of papers produced by Martín Fauda. 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 Martín Fauda. The network helps show where Martín Fauda may publish in the future.
Co-authors
The 25 scholars most cited alongside Martín Fauda, 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 | 2009 | 68 | |
| 2 | 2009 | 56 | |
| 3 | 2008 | 21 | |
| 4 | 2015 | 16 | |
| 5 | 2007 | 12 | |
| 6 | 2014 | 10 | |
| 7 | 2020 | 9 | |
| 8 | 2010 | 8 | |
| 9 | 2019 | 7 | |
| 10 | 2015 | 6 | |
| 11 | 2018 | 6 | |
| 12 | 2014 | 5 | |
| 13 | 2018 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2016 | 0 | |
| 16 | 2024 | 0 | |
| 17 | 2022 | 0 |
About Martín Fauda
Martín Fauda is a scholar working on Hepatology, Surgery, Public Health, Environmental and Occupational Health, Transplantation and Oncology, having authored 17 papers that have together received 225 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (8 papers), Liver Disease and Transplantation (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Organ Donation and Transplantation (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Colorectal Cancer Treatments and Studies (2 papers), Polyomavirus and related diseases (2 papers) and Organ and Tissue Transplantation Research (2 papers). The work is most often cited by research in Transplantation (107 citations), Hepatology (45 citations), Nutrition and Dietetics (55 citations), Surgery (148 citations) and Public Health, Environmental and Occupational Health (64 citations). Martín Fauda has collaborated with scholars based in Argentina, United States and Italy. Frequent co-authors include Gabriel Gondolesi, Luis G. Podestá, Seigo Nishida, Bernhard Sauter, David E.R. Sutherland, Arthur J. Matas, Kishore Iyer, G. Rodriguez‐Laiz, Angelika C. Gruessner and F. Kleinclauss. Their work appears in journals such as Transplantation, Annals of Oncology, Future Oncology, Transplant International and HPB.
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.