Jamie Bishop
Impact in
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Oncology top 10%
- Cancer-related Molecular Pathways
Papers in
-
- Ubiquitin and proteasome pathways 1
- Protein Degradation and Inhibitors 1
- 14-3-3 protein interactions 1
-
- Microtubule and mitosis dynamics 3
- Co-authors
- Dean W. Felsher (1 shared paper)Harold E Varmus (1 shared paper)David O. Morgan (1 shared paper)Joshua M. Kaplan (1 shared paper)Brian Hjelle (1 shared paper)Leslie Wilson (2 shared papers)Stephen M. Robbins (1 shared paper)Julie Brown (1 shared paper)
- Journals
- Molecular Cell (1 paper)Current Biology (1 paper)Cell (1 paper)SLAS DISCOVERY (1 paper)Biomedical Reports (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Jamie Bishop
9 papers receiving 1.2k citations
Jamie Bishop's Hit Papers
Peers
Comparison fields: 5 of 85
- Hematology 166
- Oncology 378
- Molecular Biology 775
- Cell Biology 170
- Genetics 98
Countries citing papers authored by Jamie Bishop
This map shows the geographic impact of Jamie Bishop'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 Jamie Bishop with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jamie Bishop more than expected).
Fields of papers citing papers by Jamie Bishop
This network shows the impact of papers produced by Jamie Bishop. 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 Jamie Bishop. The network helps show where Jamie Bishop may publish in the future.
Co-authors
The 25 scholars most cited alongside Jamie Bishop, 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 | Reversible Tumorigenesis by MYC in Hematopoietic Lineages Hit paper breakdown → | 1999 | 692 |
| 2 | 1989 | 213 | |
| 3 | 1988 | 133 | |
| 4 | 2004 | 96 | |
| 5 | The severe combined immunodeficient (SCID) mouse as a model for human myeloid leukemias. | 1992 | 61 |
| 6 | 1993 | 48 | |
| 7 | 2019 | 30 | |
| 8 | 2001 | 2 | |
| 9 | 1994 | 2 |
About Jamie Bishop
Jamie Bishop is a scholar working on Molecular Biology, Cell Biology, Oncology, Genetics and Organic Chemistry, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), Chronic Myeloid Leukemia Treatments (1 paper), Click Chemistry and Applications (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Ubiquitin and proteasome pathways (1 paper), Animal Genetics and Reproduction (1 paper), Protein Degradation and Inhibitors (1 paper) and 14-3-3 protein interactions (1 paper). The work is most often cited by research in Hematology (166 citations), Oncology (378 citations), Molecular Biology (775 citations), Cell Biology (170 citations) and Genetics (98 citations). Jamie Bishop has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Dean W. Felsher, Harold E Varmus, David O. Morgan, Joshua M. Kaplan, Brian Hjelle, Leslie Wilson, Stephen M. Robbins, Julie Brown, Kamlesh Kumar Gupta and Dulal Panda. Their work appears in journals such as Molecular Cell, Current Biology, Cell, SLAS DISCOVERY and Biomedical Reports.
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.