Andreas Sashegyi
- Genetics top 5%
- Oncology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Orthopedics and Sports Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Elizabeth Barrett‐ConnorPamela W. AndersonDavid A. CoxKristine D. HarperDeborah Gradyfor the RED-CABG Steering Committee and InvestigatorsPentti M. RautaharjuK Hoszowski
- Topics
- Lung Cancer Treatments and Mutations (12 papers)Estrogen and related hormone effects (11 papers)Colorectal Cancer Treatments and Studies (9 papers)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Andreas Sashegyi
46 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 111
- Genetics 592
- Oncology 473
- Endocrinology, Diabetes and Metabolism 387
- Orthopedics and Sports Medicine 236
- Pulmonary and Respiratory Medicine 233
Countries citing papers authored by Andreas Sashegyi
This map shows the geographic impact of Andreas Sashegyi'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 Andreas Sashegyi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Sashegyi more than expected).
Fields of papers citing papers by Andreas Sashegyi
This network shows the impact of papers produced by Andreas Sashegyi. 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 Andreas Sashegyi. The network helps show where Andreas Sashegyi may publish in the future.
Co-authorship network of co-authors of Andreas Sashegyi
This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Sashegyi. A scholar is included among the top collaborators of Andreas Sashegyi 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 Andreas Sashegyi. Andreas Sashegyi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 23 | |
| 7 | 82 | |
| 8 | 6 | |
| 9 | 29 | |
| 10 | 1 | |
| 11 | 17 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 8 | |
| 15 | 18 | |
| 16 | 44 | |
| 17 | 57 | |
| 18 | 427 | |
| 19 | 15 | |
| 20 | 60 |
About Andreas Sashegyi
Andreas Sashegyi is a scholar working on Statistics and Probability, Oncology and Gastroenterology, having authored 47 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (12 papers), Estrogen and related hormone effects (11 papers) and Colorectal Cancer Treatments and Studies (9 papers). The work is most often cited by research in Orthopedics and Sports Medicine (236 citations), Endocrinology, Diabetes and Metabolism (387 citations) and Genetics (592 citations). Andreas Sashegyi has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Elizabeth Barrett‐Connor, Pamela W. Anderson, David A. Cox, Kristine D. Harper, Deborah Grady, for the RED-CABG Steering Committee and Investigators, Pentti M. Rautaharju, K Hoszowski, David Ferry and Jane A. Cauley. Their work appears in journals such as JAMA, Journal of Clinical Oncology and The Journal of Clinical Endocrinology & Metabolism.
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.