Debra M. Krupke
- Co-authors
- Carol J. BultJanan T. EppigJohn P. SundbergDale A. BegleySteven B. NeuhauserAnthony B. TrouttRobert EvansGregory J. Christianson
- Topics
- Bioinformatics and Genomic Networks (8 papers)Gene expression and cancer classification (6 papers)Single-cell and spatial transcriptomics (4 papers)
- Cited by
- ImmunologyCancer ResearchOncology
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Debra M. Krupke
21 papers receiving 476 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 218
- Immunology 152
- Oncology 126
- Cancer Research 84
- Genetics 52
Countries citing papers authored by Debra M. Krupke
This map shows the geographic impact of Debra M. Krupke'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 Debra M. Krupke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debra M. Krupke more than expected).
Fields of papers citing papers by Debra M. Krupke
This network shows the impact of papers produced by Debra M. Krupke. 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 Debra M. Krupke. The network helps show where Debra M. Krupke may publish in the future.
Co-authorship network of co-authors of Debra M. Krupke
This figure shows the co-authorship network connecting the top 25 collaborators of Debra M. Krupke. A scholar is included among the top collaborators of Debra M. Krupke 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 Debra M. Krupke. Debra M. Krupke 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 | 4 | |
| 3 | 8 | |
| 4 | 60 | |
| 5 | 43 | |
| 6 | 3 | |
| 7 | 40 | |
| 8 | 13 | |
| 9 | 51 | |
| 10 | 12 | |
| 11 | A natural language processing (NLP) tool to assist in the curation of the laboratory Mouse Tumor Biology Database. | 5 |
| 12 | 8 | |
| 13 | 40 | |
| 14 | The Mouse Tumor Biology Database: a public resource for cancer genetics and pathology of the mouse. | 40 |
| 15 | 1 | |
| 16 | 20 | |
| 17 | 6 | |
| 18 | 93 | |
| 19 | The therapeutic efficacy of murine anti-tumor T cells: freshly isolated T cells are more therapeutic than T cells expanded in vitro. | 4 |
| 20 | Changes in tumor-associated NK 1.1+ large granular lymphocyte precursors after cyclophosphamide injection: in vitro characterization and potential therapeutic application. | 3 |
About Debra M. Krupke
Debra M. Krupke is a scholar working on Biophysics, Cancer Research and Immunology, having authored 21 papers that have together received 484 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (6 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Immunology (152 citations), Cancer Research (84 citations) and Oncology (126 citations). Debra M. Krupke has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Carol J. Bult, Janan T. Eppig, John P. Sundberg, Dale A. Begley, Steven B. Neuhauser, Anthony B. Troutt, Robert Evans, Gregory J. Christianson, Joel E. Richardson and Dieter Näf. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and Nature reviews. Cancer.
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.