Jonathan D. Rubin
Impact in
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
- Cell Biology top 10%
- Hemoglobin structure and function
Papers in
-
- RNA Research and Splicing 4
- Genomics and Chromatin Dynamics 3
- RNA modifications and cancer 2
- Oncology 4
- Vascular Tumors and Angiosarcomas 1
- Co-authors
- John S. Sack (1 shared paper)Jonathan C. Hanson (1 shared paper)Karen A. Magnus (1 shared paper)Lawrence C. Andrews (1 shared paper)Warner E. Love (1 shared paper)Robin D. Dowell (5 shared papers)Timothy Read (2 shared papers)Cecilia B. Levandowski (4 shared papers)
- Journals
- Molecular Cell (2 papers)Molecular Cancer Therapeutics (1 paper)Cell Reports (1 paper)Communications Biology (1 paper)Genome Research (1 paper)
- Partner nations
- United StatesAustriaPuerto Rico
In The Last Decade
Jonathan D. Rubin
14 papers receiving 506 citations
Peers
Comparison fields: 5 of 64
- Genetics 111
- Cell Biology 135
- Oncology 120
- Molecular Biology 254
- Hematology 40
Countries citing papers authored by Jonathan D. Rubin
This map shows the geographic impact of Jonathan D. Rubin'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 Jonathan D. Rubin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan D. Rubin more than expected).
Fields of papers citing papers by Jonathan D. Rubin
This network shows the impact of papers produced by Jonathan D. Rubin. 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 Jonathan D. Rubin. The network helps show where Jonathan D. Rubin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan D. Rubin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1978 | 164 | |
| 2 | 2018 | 98 | |
| 3 | 2018 | 73 | |
| 4 | 2019 | 60 | |
| 5 | 2020 | 54 | |
| 6 | 2021 | 29 | |
| 7 | 2015 | 11 | |
| 8 | 2022 | 8 | |
| 9 | 2019 | 7 | |
| 10 | 1999 | 4 | |
| 11 | 2019 | 3 | |
| 12 | 2019 | 1 | |
| 13 | 2010 | 1 | |
| 14 | 2019 | 1 |
About Jonathan D. Rubin
Jonathan D. Rubin is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 14 papers that have together received 514 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Genomics and Chromatin Dynamics (3 papers), Hemoglobin structure and function (2 papers), RNA modifications and cancer (2 papers), Medical Imaging Techniques and Applications (1 paper), Medical Imaging and Pathology Studies (1 paper), Pleural and Pulmonary Diseases (1 paper) and Vascular Tumors and Angiosarcomas (1 paper). The work is most often cited by research in Genetics (111 citations), Cell Biology (135 citations), Oncology (120 citations), Molecular Biology (254 citations) and Hematology (40 citations). Jonathan D. Rubin has collaborated with scholars based in United States, Austria and Puerto Rico. Frequent co-authors include John S. Sack, Jonathan C. Hanson, Karen A. Magnus, Lawrence C. Andrews, Warner E. Love, Robin D. Dowell, Timothy Read, Cecilia B. Levandowski, Mary A. Allen and Dylan J. Taatjes. Their work appears in journals such as Molecular Cell, Molecular Cancer Therapeutics, Cell Reports, Communications Biology and Genome Research.
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.