Timothy S. Schaefer

1.5k citations
23 papers · 1.3k · h-index 16

Impact in

  • Oncology top 2%
    • Cytokine Signaling Pathways and Interactions
  • Immunology top 10%
    • interferon and immune responses

Papers in

    • Cytokine Signaling Pathways and Interactions 13
    • DNA Repair Mechanisms 3
    • PI3K/AKT/mTOR signaling in cancer 3

Timothy S. Schaefer

23 papers receiving 1.3k citations

Peers

Timothy S. Schaefer
Comparison fields: 5 of 68
  • Oncology 882
  • Immunology 362
  • Cancer Research 194
  • Pharmacology 118
  • Pathology and Forensic Medicine 168
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Citations per field
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Citations per year

Countries citing papers authored by Timothy S. Schaefer

Since Specialization
Citations

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

Fields of papers citing papers by Timothy S. Schaefer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Timothy S. Schaefer, 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 Timothy S. Schaefer Line = papers co-authored together Timothy S. Schaefer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995316
2 1996171
3 2002148
4 1997132
5 2003106
6 200292
7
Apoptosis induced by adenovirus-mediated p53 gene transfer in human glioma correlates with site-specific phosphorylation.
200257
8 200042
9 198942
10 200034
11 199333
12 199929
13 200122
14 199718
15 200017
16 199017
17 198914
18
Expression of protein mediators of type I interferon signaling in human squamous cell carcinoma of the skin.
200014
19 19918
20 20047

About Timothy S. Schaefer

Timothy S. Schaefer is a scholar working on Oncology, Molecular Biology, Pharmacology, Pathology and Forensic Medicine and Immunology, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (13 papers), Medicinal Plant Pharmacodynamics Research (4 papers), Cancer Mechanisms and Therapy (4 papers), DNA Repair Mechanisms (3 papers), interferon and immune responses (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Pharmacological Effects of Natural Compounds (3 papers) and PI3K/AKT/mTOR signaling in cancer (3 papers). The work is most often cited by research in Oncology (882 citations), Immunology (362 citations), Cancer Research (194 citations), Pharmacology (118 citations) and Pathology and Forensic Medicine (168 citations). Timothy S. Schaefer has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Daniel Nathans, Laura Sanders, Zhiyong Jason Ren, Laura Schaefer, Ohkmae K. Park, Ohkmae K. Park, Gregory N. Fuller, Zhiyong Ren, Larry A. Cabell and John S. McMurray. Their work appears in journals such as Journal of Biological Chemistry, BioTechniques, Proceedings of the National Academy of Sciences, Journal of Bacteriology and Biochemical and Biophysical Research Communications.

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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