Stringner S. Yang

973 citations
23 papers · 770 · h-index 12

Impact in

Papers in

    • DNA Repair Mechanisms 4
    • RNA modifications and cancer 4
    • DNA and Nucleic Acid Chemistry 4
    • RNA and protein synthesis mechanisms 3
    • RNA Research and Splicing 2
    • Immunotherapy and Immune Responses 4
    • Immune Cell Function and Interaction 3

Stringner S. Yang

22 papers receiving 648 citations

Peers

Stringner S. Yang
Comparison fields: 5 of 96
  • Virology 42
  • Toxicology 21
  • Molecular Biology 405
  • Immunology 122
  • Infectious Diseases 85
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Citations per field
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Harold E. Renis · 1×
Citations per year

Countries citing papers authored by Stringner S. Yang

Since Specialization
Citations

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

Fields of papers citing papers by Stringner S. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Stringner S. Yang, 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 Stringner S. Yang Line = papers co-authored together Stringner S. Yang 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 1970190
2 2006106
3 200185
4 197269
5 197358
6 197456
7 196848
8 196927
9 199317
10
Lymphokine-induced cytotoxicity: characterization of effectors, precursors, and regulatory ancillary cells.
198616
11
Reverse transciptase from Mason-Pfizer monkey tumor virus, avian myeloblastosis virus, and Rauscher leukemia virus and its response to rifamycin derivatives.
197215
12 197514
13 197611
14 197411
15 198210
16 19748
17 19746
18 19766
19 19825
20 20015

About Stringner S. Yang

Stringner S. Yang is a scholar working on Molecular Biology, Immunology, Oncology, Genetics and Toxicology, having authored 23 papers that have together received 770 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Immunotherapy and Immune Responses (4 papers), RNA modifications and cancer (4 papers), DNA and Nucleic Acid Chemistry (4 papers), Virus-based gene therapy research (3 papers), Immune Cell Function and Interaction (3 papers), RNA and protein synthesis mechanisms (3 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Virology (42 citations), Toxicology (21 citations), Molecular Biology (405 citations), Immunology (122 citations) and Infectious Diseases (85 citations). Stringner S. Yang has collaborated with scholars based in United States and Bermuda. Frequent co-authors include Robert C. Gallo, Robert C. Ting, Nelson A. Wivel, Gordon M. Cragg, David Newman, Donald G. Comb, John P. Bader, Kwok‐Wai Lam, Chou‐Chik Ting and Huber R. Warner. Their work appears in journals such as International Journal of Cancer, Journal of Natural Products, Endocrinology, Journal of Virology and Advances in experimental medicine and 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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