Marc A. Attiyeh
- Oncology top 5%
- Cancer Research top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine top 10%
- Surgery top 10%
- Co-authors
- Peter J. AllenChristine A. Iacobuzio–DonahueAlvin P. Makohon-MooreJohannes G. ReiterBert VogelsteinMartin A. NowakKenneth W. KinzlerZachary A. Kohutek
- Topics
- Pancreatic and Hepatic Oncology Research (22 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)Cancer Genomics and Diagnostics (7 papers)
- Journals
- NatureScienceNature Genetics
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Marc A. Attiyeh
30 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 80
- Oncology 811
- Cancer Research 409
- Molecular Biology 365
- Pulmonary and Respiratory Medicine 289
- Surgery 288
Countries citing papers authored by Marc A. Attiyeh
This map shows the geographic impact of Marc A. Attiyeh'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 Marc A. Attiyeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc A. Attiyeh more than expected).
Fields of papers citing papers by Marc A. Attiyeh
This network shows the impact of papers produced by Marc A. Attiyeh. 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 Marc A. Attiyeh. The network helps show where Marc A. Attiyeh may publish in the future.
Co-authorship network of co-authors of Marc A. Attiyeh
This figure shows the co-authorship network connecting the top 25 collaborators of Marc A. Attiyeh. A scholar is included among the top collaborators of Marc A. Attiyeh 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 Marc A. Attiyeh. Marc A. Attiyeh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 191 | |
| 7 | 39 | |
| 8 | 21 | |
| 9 | 71 | |
| 10 | 24 | |
| 11 | 89 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | 54 | |
| 16 | 259 | |
| 17 | 66 | |
| 18 | 74 | |
| 19 | 2 | |
| 20 | From genes to queens: a crafty approach to genetically evolve a chess engine | 1 |
About Marc A. Attiyeh
Marc A. Attiyeh is a scholar working on Oncology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (22 papers), Radiomics and Machine Learning in Medical Imaging (8 papers) and Cancer Genomics and Diagnostics (7 papers). The work is most often cited by research in Oncology (811 citations), Cancer Research (409 citations) and Radiology, Nuclear Medicine and Imaging (238 citations). Marc A. Attiyeh has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Peter J. Allen, Christine A. Iacobuzio–Donahue, Alvin P. Makohon-Moore, Johannes G. Reiter, Bert Vogelstein, Martin A. Nowak, Kenneth W. Kinzler, Zachary A. Kohutek, Mithat Gönen and William R. Jarnagin. Their work appears in journals such as Nature, Science and Nature Genetics.
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.