Daniel G. Maluf
Impact in
- Transplantation top 0.5%
- Renal Transplantation Outcomes and Treatments
- Hepatology top 0.5%
- Liver Disease and Transplantation
- Hepatitis C virus research
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Renal Transplantation Outcomes and Treatments 46
- Hepatology 67
- Liver Disease and Transplantation 46
- Hepatitis C virus research 23
- Hepatocellular Carcinoma Treatment and Prognosis 15
- Co-authors
- Valeria R. MasKellie J. ArcherRobert A. FisherMarc P. PosnerAdrian CotterellAnne L. KingRichard K. SterlingVelimir A. Luketic
- Journals
- Transplantation (25 papers)American Journal of Transplantation (15 papers)Molecular Medicine (7 papers)Liver Transplantation (7 papers)Transplant International (5 papers)
- Partner nations
- United StatesUnited KingdomArgentina
In The Last Decade
Daniel G. Maluf
121 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 101
- Transplantation 868
- Hepatology 1.5k
- Surgery 1.5k
- Epidemiology 1.0k
- Cancer Research 418
Countries citing papers authored by Daniel G. Maluf
This map shows the geographic impact of Daniel G. Maluf'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 G. Maluf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel G. Maluf more than expected).
Fields of papers citing papers by Daniel G. Maluf
This network shows the impact of papers produced by Daniel G. Maluf. 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 G. Maluf. The network helps show where Daniel G. Maluf may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel G. Maluf, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 22 | |
| 7 | 2021 | 22 | |
| 8 | 2021 | 11 | |
| 9 | 2020 | 21 | |
| 10 | 2019 | 6 | |
| 11 | 2018 | 12 | |
| 12 | 2011 | 17 | |
| 13 | 2011 | 34 | |
| 14 | 2011 | 4 | |
| 15 | 2010 | 21 | |
| 16 | 2010 | 14 | |
| 17 | 2010 | 10 | |
| 18 | 2009 | 29 | |
| 19 | 2007 | 68 | |
| 20 | 2007 | 55 |
About Daniel G. Maluf
Daniel G. Maluf is a scholar working on Transplantation, Hepatology, Surgery, Epidemiology and Cancer Research, having authored 126 papers that have together received 3.3k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (68 papers), Renal Transplantation Outcomes and Treatments (46 papers), Liver Disease and Transplantation (46 papers), Liver Disease Diagnosis and Treatment (34 papers), Hepatitis C virus research (23 papers), Organ Donation and Transplantation (16 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers) and Renal and Vascular Pathologies (13 papers). The work is most often cited by research in Transplantation (868 citations), Hepatology (1.5k citations), Surgery (1.5k citations), Epidemiology (1.0k citations) and Cancer Research (418 citations). Daniel G. Maluf has collaborated with scholars based in United States, United Kingdom and Argentina. Frequent co-authors include Valeria R. Mas, Kellie J. Archer, Robert A. Fisher, Marc P. Posner, Adrian Cotterell, Anne L. King, Richard K. Sterling, Velimir A. Luketic, Kenneth Yanek and H. Myron Kauffman. Their work appears in journals such as Transplantation, American Journal of Transplantation, Molecular Medicine, Liver Transplantation and Transplant International.
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.