Debra M. Krupke

1.0k total citations
21 papers, 484 citations indexed

About

Debra M. Krupke is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Debra M. Krupke has authored 21 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Immunology. Recurrent topics in Debra M. Krupke's work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (6 papers) and Single-cell and spatial transcriptomics (4 papers). Debra M. Krupke is often cited by papers focused on Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (6 papers) and Single-cell and spatial transcriptomics (4 papers). Debra M. Krupke collaborates with scholars based in United States and United Kingdom. Debra M. Krupke's 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 and has published in prestigious journals such as Nucleic Acids Research, Nature Genetics and Nature reviews. Cancer.

In The Last Decade

Debra M. Krupke

21 papers receiving 476 citations

Peers

Debra M. Krupke
Comparison fields: 5 of 72
  • Molecular Biology 218
  • Immunology 152
  • Oncology 126
  • Cancer Research 84
  • Genetics 52
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Citations per field, relative to Debra M. Krupke
Debra M. Krupke · 1×
Citations per year, relative to Debra M. Krupke
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Countries citing papers authored by Debra M. Krupke

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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