R M Stenberg

3.6k citations
38 papers · 3.2k · h-index 28

Impact in

  • Parasitology top 0.5%
    • Toxoplasma gondii Research Studies
  • Epidemiology top 0.5%
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments

Papers in

    • Cytomegalovirus and herpesvirus research 33
    • Herpesvirus Infections and Treatments 19
    • RNA regulation and disease 12
    • Advanced biosensing and bioanalysis techniques 4
    • RNA Interference and Gene Delivery 4

R M Stenberg

38 papers receiving 3.0k citations

Peers

R M Stenberg
Comparison fields: 5 of 74
  • Parasitology 715
  • Epidemiology 2.8k
  • Virology 285
  • Immunology 786
  • Molecular Biology 1.2k
Replace Peter Tomlinson with:
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Citations per field
00.5×3.8×
Peter Tomlinson · 1×
Citations per year

Countries citing papers authored by R M Stenberg

Since Specialization
Citations

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

Fields of papers citing papers by R M Stenberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R M Stenberg. 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 R M Stenberg. The network helps show where R M Stenberg may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984306
2 1984269
3 1983255
4 1995235
5 1985228
6 1989195
7 1990183
8 1997182
9 1989111
10 198590
11 199690
12 199682
13 199976
14 199374
15 199367
16 199167
17 199664
18 198259
19 199450
20 198348

About R M Stenberg

R M Stenberg is a scholar working on Epidemiology, Molecular Biology, Parasitology, Virology and Genetics, having authored 38 papers that have together received 3.2k indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (33 papers), Herpesvirus Infections and Treatments (19 papers), RNA regulation and disease (12 papers), Toxoplasma gondii Research Studies (9 papers), HIV Research and Treatment (6 papers), Virus-based gene therapy research (6 papers), Advanced biosensing and bioanalysis techniques (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Parasitology (715 citations), Epidemiology (2.8k citations), Virology (285 citations), Immunology (786 citations) and Molecular Biology (1.2k citations). R M Stenberg has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Mark F. Stinski, D R Thomsen, A S Depto, Jay A. Nelson, James Fortney, Pam Witte, Peter Ghazal, Ann E. Campbell, William F. Goins and Lynn C. Goldstein. Their work appears in journals such as Journal of Virology, Virology, The Journal of Cell Biology, Molecular and Cellular Biology and Journal of General Virology.

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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