John T. Powers
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Cancer-related Molecular Pathways
Papers in
-
- DNA Repair Mechanisms 3
- RNA Research and Splicing 3
- RNA modifications and cancer 3
- Pluripotent Stem Cells Research 2
- Signaling Pathways in Disease 2
- Oncology 4
- Cancer-related Molecular Pathways 4
- Co-authors
- D. Gale Johnson (4 shared papers)George Q. Daley (11 shared papers)Pamela M. Rogers (2 shared papers)Robert J. Rounbehler (2 shared papers)Raju V. Pusapati (2 shared papers)Marc T. Seligson (3 shared papers)Christopher N. Mayhew (1 shared paper)Erik S. Knudsen (1 shared paper)
- Journals
- Blood (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Cell Biology (1 paper)Molecular and Cellular Biology (1 paper)Cancer Cell (1 paper)
- Partner nations
- United StatesChinaFrance
In The Last Decade
John T. Powers
17 papers receiving 942 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 296
- Oncology 290
- Molecular Biology 711
- Neurology 84
- Hematology 50
Countries citing papers authored by John T. Powers
This map shows the geographic impact of John T. Powers'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 John T. Powers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John T. Powers more than expected).
Fields of papers citing papers by John T. Powers
This network shows the impact of papers produced by John T. Powers. 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 John T. Powers. The network helps show where John T. Powers may publish in the future.
Co-authors
The 25 scholars most cited alongside John T. Powers, 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 | 2014 | 159 | |
| 2 | 2016 | 141 | |
| 3 | 2006 | 124 | |
| 4 | 2004 | 115 | |
| 5 | 2016 | 68 | |
| 6 | 2014 | 67 | |
| 7 | 2002 | 62 | |
| 8 | 2016 | 56 | |
| 9 | 2012 | 47 | |
| 10 | 2006 | 37 | |
| 11 | 2020 | 33 | |
| 12 | 2009 | 18 | |
| 13 | 2009 | 11 | |
| 14 | 2024 | 8 | |
| 15 | 2013 | 3 | |
| 16 | 2007 | 2 | |
| 17 | 2024 | 1 |
About John T. Powers
John T. Powers is a scholar working on Molecular Biology, Oncology, Neurology, Hematology and Cancer Research, having authored 17 papers that have together received 952 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), DNA Repair Mechanisms (3 papers), Neuroblastoma Research and Treatments (3 papers), RNA Research and Splicing (3 papers), RNA modifications and cancer (3 papers), Pluripotent Stem Cells Research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Cancer Research (296 citations), Oncology (290 citations), Molecular Biology (711 citations), Neurology (84 citations) and Hematology (50 citations). John T. Powers has collaborated with scholars based in United States, China and France. Frequent co-authors include D. Gale Johnson, George Q. Daley, Pamela M. Rogers, Robert J. Rounbehler, Raju V. Pusapati, Marc T. Seligson, Christopher N. Mayhew, Erik S. Knudsen, Kaoru Kiguchi and Mingshan Yan. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Nature Cell Biology, Molecular and Cellular Biology and Cancer Cell.
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.