Marco A. Lacerda
- Hepatology top 2%
- Epidemiology top 10%
- Surgery top 10%
- Gastroenterology top 10%
- Cardiology and Cardiovascular Medicine
- Co-authors
- Marwan GhabrilPaul Y. KwoA. Joseph TectorNaga ChalasaniPatrick S. KamathDavid A. AhlquistJames C. AndrewsSaurabh Agarwal
- Topics
- Liver Disease Diagnosis and Treatment (14 papers)Liver Disease and Transplantation (13 papers)Organ Transplantation Techniques and Outcomes (10 papers)
- Partner nations
- United StatesBrazilSouth Africa
In The Last Decade
Marco A. Lacerda
32 papers receiving 565 citations
Peers
Comparison fields: 5 of 56
- Hepatology 461
- Epidemiology 340
- Surgery 328
- Gastroenterology 52
- Cardiology and Cardiovascular Medicine 33
Countries citing papers authored by Marco A. Lacerda
This map shows the geographic impact of Marco A. Lacerda'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 Marco A. Lacerda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco A. Lacerda more than expected).
Fields of papers citing papers by Marco A. Lacerda
This network shows the impact of papers produced by Marco A. Lacerda. 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 Marco A. Lacerda. The network helps show where Marco A. Lacerda may publish in the future.
Co-authorship network of co-authors of Marco A. Lacerda
This figure shows the co-authorship network connecting the top 25 collaborators of Marco A. Lacerda. A scholar is included among the top collaborators of Marco A. Lacerda 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 Marco A. Lacerda. Marco A. Lacerda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 25 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | Pre‐Liver Transplant Cardiac Catheterization is Associated with Low Rate of Myocardial Infarction and Cardiac Mortality | 2 |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 107 | |
| 11 | 5 | |
| 12 | Next Generation Direct-acting Antiviral Agents for Hepatitis C Treatment | 1 |
| 13 | 53 | |
| 14 | 9 | |
| 15 | 18 | |
| 16 | 21 | |
| 17 | 130 | |
| 18 | 34 | |
| 19 | 4 | |
| 20 | 2 |
About Marco A. Lacerda
Marco A. Lacerda is a scholar working on Hepatology, Transplantation and Epidemiology, having authored 33 papers that have together received 588 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (14 papers), Liver Disease and Transplantation (13 papers) and Organ Transplantation Techniques and Outcomes (10 papers). The work is most often cited by research in Hepatology (461 citations), Transplantation (30 citations) and Epidemiology (340 citations). Marco A. Lacerda has collaborated with scholars based in United States, Brazil and South Africa. Frequent co-authors include Marwan Ghabril, Paul Y. Kwo, A. Joseph Tector, Naga Chalasani, Patrick S. Kamath, David A. Ahlquist, James C. Andrews, Saurabh Agarwal, Jonathan A. Fridell and Chandrashekhar A. Kubal. Their work appears in journals such as Journal of Clinical Oncology, Gastroenterology and PLoS ONE.
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.