Christopher W. Stackpole

1.6k citations
58 papers · 1.4k · h-index 20

Impact in

Papers in

    • T-cell and B-cell Immunology 10
    • Immunotherapy and Immune Responses 7
    • T-cell and Retrovirus Studies 6
    • Complement system in diseases 5
    • Cancer Cells and Metastasis 18
    • Viral-associated cancers and disorders 4

Christopher W. Stackpole

57 papers receiving 1.2k citations

Peers

Christopher W. Stackpole
Comparison fields: 5 of 80
  • Immunology and Allergy 73
  • Oncology 320
  • Structural Biology 31
  • Immunology 248
  • Reproductive Medicine 88
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Wolfgang Bohn Germany
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Citations per field
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Citations per year

Countries citing papers authored by Christopher W. Stackpole

Since Specialization
Citations

This map shows the geographic impact of Christopher W. Stackpole'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 Christopher W. Stackpole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher W. Stackpole more than expected).

Fields of papers citing papers by Christopher W. Stackpole

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher W. Stackpole. 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 Christopher W. Stackpole. The network helps show where Christopher W. Stackpole may publish in the future.

Co-authors

The 25 scholars most cited alongside Christopher W. Stackpole, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Christopher W. Stackpole Line = papers co-authored together Christopher W. Stackpole links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969159
2 1977127
3 1981120
4 197395
5 197873
6 197464
7 197157
8 197457
9
Generation of phenotypic diversity in the B16 mouse melanoma relative to spontaneous metastasis.
198352
10 197444
11 199440
12
Growth characteristics of clonal cell populations constituting a B16 melanoma metastasis model system.
198539
13 196837
14 199435
15 198529
16 196828
17 198525
18 197423
19 197421
20 197820

About Christopher W. Stackpole

Christopher W. Stackpole is a scholar working on Immunology, Oncology, Cancer Research, Structural Biology and Radiology, Nuclear Medicine and Imaging, having authored 58 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (18 papers), T-cell and B-cell Immunology (10 papers), Immunotherapy and Immune Responses (7 papers), T-cell and Retrovirus Studies (6 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Cancer, Hypoxia, and Metabolism (5 papers), Complement system in diseases (5 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Immunology and Allergy (73 citations), Oncology (320 citations), Structural Biology (31 citations), Immunology (248 citations) and Reproductive Medicine (88 citations). Christopher W. Stackpole has collaborated with scholars based in United States. Frequent co-authors include Terry Magnuson, Michael P. Lardis, Andrea L. Alterman, Ulrich Hämmerling, Edward A. Boyse, Merle Mizell, Gloria C. Koo, Étienne de Harven, Douglas W. Kawka and Stefan Galuska. Their work appears in journals such as Clinical & Experimental Metastasis, JNCI Journal of the National Cancer Institute, Virology, Proceedings of the National Academy of Sciences and Nature.

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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