Leonardo P. Marcal
- Obstetrics and Gynecology top 5%
- Radiology, Nuclear Medicine and Imaging
- Surgery
- Pulmonary and Respiratory Medicine
- Oncology
- Co-authors
- Revathy B. IyerEric P. TammHarmeet KaurHaesun ChoiRandy D. ErnstGaiane M. RauchAnn H. KloppPiyaporn Boonsirikamchai
- Topics
- Hepatocellular Carcinoma Treatment and Prognosis (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Renal cell carcinoma treatment (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Lancet OncologyAmerican Journal of Roentgenology
- Partner nations
- United StatesBrazilItaly
In The Last Decade
Leonardo P. Marcal
20 papers receiving 330 citations
Peers
Comparison fields: 5 of 47
- Obstetrics and Gynecology 115
- Radiology, Nuclear Medicine and Imaging 97
- Surgery 96
- Pulmonary and Respiratory Medicine 87
- Oncology 73
Countries citing papers authored by Leonardo P. Marcal
This map shows the geographic impact of Leonardo P. Marcal'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 Leonardo P. Marcal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo P. Marcal more than expected).
Fields of papers citing papers by Leonardo P. Marcal
This network shows the impact of papers produced by Leonardo P. Marcal. 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 Leonardo P. Marcal. The network helps show where Leonardo P. Marcal may publish in the future.
Co-authorship network of co-authors of Leonardo P. Marcal
This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo P. Marcal. A scholar is included among the top collaborators of Leonardo P. Marcal 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 Leonardo P. Marcal. Leonardo P. Marcal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 2 | |
| 7 | 22 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 26 | |
| 11 | 6 | |
| 12 | 16 | |
| 13 | 10 | |
| 14 | 36 | |
| 15 | 21 | |
| 16 | 56 | |
| 17 | 17 | |
| 18 | 51 | |
| 19 | 3 | |
| 20 | 22 |
About Leonardo P. Marcal
Leonardo P. Marcal is a scholar working on Hepatology, Obstetrics and Gynecology and Genetics, having authored 22 papers that have together received 335 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Renal cell carcinoma treatment (3 papers). The work is most often cited by research in Obstetrics and Gynecology (115 citations), Reproductive Medicine (57 citations) and Radiology, Nuclear Medicine and Imaging (97 citations). Leonardo P. Marcal has collaborated with scholars based in United States, Brazil and Italy. Frequent co-authors include Revathy B. Iyer, Eric P. Tamm, Harmeet Kaur, Haesun Choi, Randy D. Ernst, Gaiane M. Rauch, Ann H. Klopp, Piyaporn Boonsirikamchai, Shannon N. Westin and Sireesha Yedururi. Their work appears in journals such as SHILAP Revista de lepidopterología, The Lancet Oncology and American Journal of Roentgenology.
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.