Christopher W. Stackpole

51 papers receiving 1.2k citations

Peers

Christopher W. Stackpole
Comparison fields: 5 of 94
  • Immunology 254
  • Reproductive Medicine 90
  • Immunology and Allergy 60
  • Oncology 262
  • Cancer Research 144
Replace Roger H. Kennett with:
Roger H. Kennett United States
E P Reddy United States
John M. Lehman United States
Henry Niman United States
C Benoist France
Theodore S. Hauschka United States
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P Gerlinger France
Pamela S. Adams United States
Friedlinde A. Bautz 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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969155
2 1977129
3 1981119
4 197394
5 197876
6 197464
7 197458
8 197157
9
Generation of phenotypic diversity in the B16 mouse melanoma relative to spontaneous metastasis.
198351
10 197444
11 199440
12 196837
13 199435
14 198530
15 196828
16 197425
17 198525
18 197421
19 197920
20 197820

About Christopher W. Stackpole

Christopher W. Stackpole is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Oncology, Immunology and Genetics, having authored 52 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (17 papers), Melanoma and MAPK Pathways (9 papers), Virus-based gene therapy research (9 papers), Glycosylation and Glycoproteins Research (8 papers), Cutaneous Melanoma Detection and Management (7 papers), Immunotherapy and Immune Responses (7 papers), Lipid Membrane Structure and Behavior (6 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Immunology (254 citations), Reproductive Medicine (90 citations), Immunology and Allergy (60 citations), Oncology (262 citations) and Cancer Research (144 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, David H. DeVorkin, Étienne de Harven and D W Kawka. 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 Developmental Biology.

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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