Harold C. Smith

5.9k citations
131 papers · 4.7k · h-index 40

Impact in

  • Virology top 1%
    • HIV Research and Treatment
    • RNA regulation and disease
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering
    • RNA modifications and cancer

Papers in

    • RNA regulation and disease 52
    • RNA and protein synthesis mechanisms 38
    • RNA Research and Splicing 28
    • CRISPR and Genetic Engineering 23
    • RNA modifications and cancer 16
    • Cytomegalovirus and herpesvirus research 15

Harold C. Smith

131 papers receiving 4.6k citations

Peers

Harold C. Smith
Comparison fields: 5 of 126
  • Virology 770
  • Molecular Biology 3.4k
  • Immunology 571
  • Infectious Diseases 493
  • Epidemiology 821
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Citations per field
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Citations per year

Countries citing papers authored by Harold C. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Harold C. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harold C. Smith. 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 Harold C. Smith. The network helps show where Harold C. Smith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016272
2 2003236
3 2011150
4
A guide to RNA editing.
1997120
5 1982115
6 2005100
7 199699
8 199398
9 199198
10 198493
11 198689
12 199282
13 200680
14 199680
15 198076
16 200472
17 199166
18 199266
19 198366
20 200365

About Harold C. Smith

Harold C. Smith is a scholar working on Molecular Biology, Epidemiology, Virology, Infectious Diseases and Immunology, having authored 131 papers that have together received 4.7k indexed citations. Recurring topics across this work include RNA regulation and disease (52 papers), RNA and protein synthesis mechanisms (38 papers), RNA Research and Splicing (28 papers), CRISPR and Genetic Engineering (23 papers), HIV Research and Treatment (18 papers), RNA modifications and cancer (16 papers), Cytomegalovirus and herpesvirus research (15 papers) and HIV/AIDS drug development and treatment (10 papers). The work is most often cited by research in Virology (770 citations), Molecular Biology (3.4k citations), Immunology (571 citations), Infectious Diseases (493 citations) and Epidemiology (821 citations). Harold C. Smith has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Mark P. Sowden, Ryan P. Bennett, Jason D. Salter, Ronald Berezney, John W. Backus, Joseph E. Wedekind, Geoffrey S.C. Dance, Janet D. Sparks, Charles E. Sparks and William M. McDougall. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications, Biochemistry, Nucleic Acids Research and Proceedings of the National Academy of Sciences.

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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