Ryan S. Robetorye
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 5%
- Pathology and Forensic Medicine top 5%
- Genetics top 10%
- Co-authors
- Olivia M. Pereira‐SmithJames R. SmithMakoto NakanishiGuy R. AdamiLinda F. DrullingerGretchen H. SteinGeorge M. RodgersJr. Smith
- Topics
- Lymphoma Diagnosis and Treatment (16 papers)Chronic Lymphocytic Leukemia Research (10 papers)Genomic variations and chromosomal abnormalities (6 papers)
- Cited by
- Cancer ResearchOncologyAging
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Ryan S. Robetorye
41 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 99
- Molecular Biology 751
- Oncology 541
- Cancer Research 310
- Pathology and Forensic Medicine 266
- Genetics 237
Countries citing papers authored by Ryan S. Robetorye
This map shows the geographic impact of Ryan S. Robetorye'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 Ryan S. Robetorye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan S. Robetorye more than expected).
Fields of papers citing papers by Ryan S. Robetorye
This network shows the impact of papers produced by Ryan S. Robetorye. 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 Ryan S. Robetorye. The network helps show where Ryan S. Robetorye may publish in the future.
Co-authorship network of co-authors of Ryan S. Robetorye
This figure shows the co-authorship network connecting the top 25 collaborators of Ryan S. Robetorye. A scholar is included among the top collaborators of Ryan S. Robetorye 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 Ryan S. Robetorye. Ryan S. Robetorye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 6 | |
| 4 | 247 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 16 | |
| 9 | 105 | |
| 10 | 12 | |
| 11 | 42 | |
| 12 | 2 | |
| 13 | 31 | |
| 14 | 22 | |
| 15 | 17 | |
| 16 | 42 | |
| 17 | 19 | |
| 18 | 7 | |
| 19 | 151 | |
| 20 | 101 |
About Ryan S. Robetorye
Ryan S. Robetorye is a scholar working on Genetics, Pathology and Forensic Medicine and Hematology, having authored 41 papers that have together received 1.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (16 papers), Chronic Lymphocytic Leukemia Research (10 papers) and Genomic variations and chromosomal abnormalities (6 papers). The work is most often cited by research in Cancer Research (310 citations), Oncology (541 citations) and Aging (30 citations). Ryan S. Robetorye has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Olivia M. Pereira‐Smith, James R. Smith, Makoto Nakanishi, Guy R. Adami, Linda F. Drullinger, Gretchen H. Stein, George M. Rodgers, Jr. Smith, Shelly Gunn and Tsutomu Kumazaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.