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 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Protein Degradation and Inhibitors 1
-
- Microtubule and mitosis dynamics 3
- Co-authors
- Dean W. Felsher (1 shared paper)Joshua M. Kaplan (1 shared paper)David O. Morgan (1 shared paper)Harold E Varmus (1 shared paper)Brian Hjelle (1 shared paper)Leslie Wilson (2 shared papers)Robert Finney (1 shared paper)Julie Brown (1 shared paper)
- Journals
- SLAS DISCOVERY (1 paper)Current Biology (1 paper)Biomedical Reports (1 paper)Biological Bulletin (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Jamie Bishop
9 papers receiving 1.2k citations
Jamie Bishop's Hit Papers
Peers
Comparison fields: 5 of 88
- Hematology 171
- Oncology 399
- Molecular Biology 808
- Cell Biology 174
- Genetics 104
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 | 691 |
| 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 | 29 | |
| 8 | 1994 | 2 | |
| 9 | 2001 | 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), Ubiquitin and proteasome pathways (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Animal Genetics and Reproduction (1 paper), Protein Degradation and Inhibitors (1 paper), Cell Image Analysis Techniques (1 paper), Chemokine receptors and signaling (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Hematology (171 citations), Oncology (399 citations), Molecular Biology (808 citations), Cell Biology (174 citations) and Genetics (104 citations). Jamie Bishop has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Dean W. Felsher, Joshua M. Kaplan, David O. Morgan, Harold E Varmus, Brian Hjelle, Leslie Wilson, Robert Finney, Julie Brown, Stephen M. Robbins and Kamlesh Kumar Gupta. Their work appears in journals such as SLAS DISCOVERY, Current Biology, Biomedical Reports, Biological Bulletin and Molecular 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.