Marco A. Lacerda

63 total papers · 875 total citations
33 papers, 583 citations indexed

About

Marco A. Lacerda is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, Marco A. Lacerda has authored 33 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Hepatology, 17 papers in Epidemiology and 13 papers in Surgery. Recurrent topics in Marco A. Lacerda's work include Liver Disease Diagnosis and Treatment (14 papers), Liver Disease and Transplantation (13 papers) and Organ Transplantation Techniques and Outcomes (10 papers). Marco A. Lacerda is often cited by papers focused on Liver Disease Diagnosis and Treatment (14 papers), Liver Disease and Transplantation (13 papers) and Organ Transplantation Techniques and Outcomes (10 papers). Marco A. Lacerda collaborates with scholars based in United States, Brazil and South Africa. Marco A. Lacerda's co-authors include Marwan Ghabril, Paul Y. Kwo, A. Joseph Tector, Naga Chalasani, David A. Ahlquist, Patrick S. Kamath, James C. Andrews, Saurabh Agarwal, Chandrashekhar A. Kubal and Jonathan A. Fridell and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and PLoS ONE.

In The Last Decade

Marco A. Lacerda

32 papers receiving 560 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marco A. Lacerda 458 337 324 52 32 33 583
Brú C 361 0.8× 313 0.9× 265 0.8× 21 0.4× 6 0.2× 29 669
Sara Muñoz 487 1.1× 341 1.0× 178 0.5× 41 0.8× 14 0.4× 36 695
E. Moreno-González 204 0.4× 168 0.5× 334 1.0× 13 0.3× 24 0.8× 42 568
A. Moreno Elola-Olaso 267 0.6× 82 0.2× 358 1.1× 23 0.4× 26 0.8× 21 518
F Romani 239 0.5× 134 0.4× 253 0.8× 8 0.2× 25 0.8× 32 504
Antonios Arvelakis 114 0.2× 101 0.3× 297 0.9× 44 0.8× 15 0.5× 33 583
A Rafecas 468 1.0× 257 0.8× 426 1.3× 14 0.3× 17 0.5× 51 682
Fátima Aparecida Ferreira Figueiredo 251 0.5× 315 0.9× 121 0.4× 12 0.2× 11 0.3× 23 529
Wael Abdel‐Razek 533 1.2× 427 1.3× 190 0.6× 12 0.2× 29 0.9× 35 638
Bruna Lavezzo 483 1.1× 402 1.2× 227 0.7× 4 0.1× 11 0.3× 32 661

Countries citing papers authored by Marco A. Lacerda

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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