Alberto M. Marchevsky
- Pulmonary and Respiratory Medicine top 1%
- Surgery top 2%
- Epidemiology top 2%
- Oncology top 2%
- Neurology top 2%
- Co-authors
- Ann E. WaltsMark R. WickRobert J. McKennaRuta GuptaSamuel A. YousemJerome KleinermanHenry D. TazelaarStephen Stewart
- Topics
- Transplantation: Methods and Outcomes (21 papers)AI in cancer detection (20 papers)Lung Cancer Diagnosis and Treatment (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaGastroenterologyHepatology
- Partner nations
- United StatesJapanItaly
In The Last Decade
Alberto M. Marchevsky
200 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Pulmonary and Respiratory Medicine 1.7k
- Surgery 1.6k
- Epidemiology 1.5k
- Oncology 1.5k
- Neurology 736
Countries citing papers authored by Alberto M. Marchevsky
This map shows the geographic impact of Alberto M. Marchevsky'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 Alberto M. Marchevsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto M. Marchevsky more than expected).
Fields of papers citing papers by Alberto M. Marchevsky
This network shows the impact of papers produced by Alberto M. Marchevsky. 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 Alberto M. Marchevsky. The network helps show where Alberto M. Marchevsky may publish in the future.
Co-authorship network of co-authors of Alberto M. Marchevsky
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto M. Marchevsky. A scholar is included among the top collaborators of Alberto M. Marchevsky 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 Alberto M. Marchevsky. Alberto M. Marchevsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 44 | |
| 5 | Quantitative Studies of APUD Cells in Airways of Rats | 0 |
| 6 | 45 | |
| 7 | 63 | |
| 8 | 29 | |
| 9 | 32 | |
| 10 | 14 | |
| 11 | 7 | |
| 12 | 11 | |
| 13 | 17 | |
| 14 | 83 | |
| 15 | 6 | |
| 16 | 16 | |
| 17 | 69 | |
| 18 | 48 | |
| 19 | 14 | |
| 20 | 18 |
About Alberto M. Marchevsky
Alberto M. Marchevsky is a scholar working on Transplantation, Pulmonary and Respiratory Medicine and Neurology, having authored 203 papers that have together received 5.6k indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (21 papers), AI in cancer detection (20 papers) and Lung Cancer Diagnosis and Treatment (19 papers). The work is most often cited by research in Transplantation (290 citations), Oncology (1.5k citations) and Pulmonary and Respiratory Medicine (1.7k citations). Alberto M. Marchevsky has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Ann E. Walts, Mark R. Wick, Robert J. McKenna, Ruta Gupta, Samuel A. Yousem, Jerome Kleinerman, Henry D. Tazelaar, Stephen Stewart, Ralph H. Hruban and N. Paul Ohori. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and Hepatology.
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.