S G Shoemaker

622 citations
6 papers · 249 indexed · h-index 6

Impact in

    • Immune Response and Inflammation
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Acute Myeloid Leukemia Research

Papers in

    • Immunotherapy and Immune Responses 2
    • T-cell and B-cell Immunology 1
    • T-cell and Retrovirus Studies 1

S G Shoemaker

6 papers receiving 232 citations

Peers

S G Shoemaker
Comparison fields: 5 of 52
  • Immunology 139
  • Hematology 46
  • Microbiology 14
  • Immunology and Allergy 11
  • Cancer Research 26
Replace Keiko Matsue with:
Keiko Matsue Japan
Emily Labriola–Tompkins United States
Qianli Zhuang Canada
C S Gilbert United States
Tod Brown United States
Giuseppe Consogno Italy
Julie A. Quayle United Kingdom
Heather C. Workman United States
Masaru Taniguchi Japan
C M D'Urso Italy
S G Shoemaker relative to Keiko Matsue Japan Keiko Matsue's profile →
Citations per field
00.5×1.5×
Keiko Matsue · 1×
Citations per year

Countries citing papers authored by S G Shoemaker

Since Specialization
Citations

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

Fields of papers citing papers by S G Shoemaker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S G Shoemaker. 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 S G Shoemaker. The network helps show where S G Shoemaker may publish in the future.

Co-authors

The 12 scholars most cited alongside S G Shoemaker, 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 S G Shoemaker Line = papers co-authored together S G Shoemaker links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 199613
2 199438
3 199228
4 199014
5 199077
6 198979

About S G Shoemaker

S G Shoemaker is a scholar working on Biochemistry, Immunology, Radiology, Nuclear Medicine and Imaging, Genetics and Oncology, having authored 6 papers that have together received 249 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Immunotherapy and Immune Responses (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Glycosylation and Glycoproteins Research (1 paper), T-cell and B-cell Immunology (1 paper), T-cell and Retrovirus Studies (1 paper), Renal and related cancers (1 paper) and Mesenchymal stem cell research (1 paper). The work is most often cited by research in Immunology (139 citations), Hematology (46 citations), Microbiology (14 citations), Immunology and Allergy (11 citations) and Cancer Research (26 citations). S G Shoemaker has collaborated with scholars based in United States and Canada. Frequent co-authors include K Kaushansky, Robert Hromas, Chris Brown, Salvador Alfaro, Kenneth Kaushansky, John M. McCarty, V C Broudy, J W Adamson, J. D. Aghajanian and Nancy L. Lin. Their work appears in journals such as The Journal of Immunology, Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Molecular Immunology.

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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