Howard R. Hubbell

1.0k citations
29 papers · 866 indexed · h-index 14
  • Hematology top 10%
    • RNA and protein synthesis mechanisms 5
    • RNA Interference and Gene Delivery 4
    • RNA modifications and cancer 4
    • RNA Research and Splicing 3
    • Genomics and Chromatin Dynamics 3
  • Genetics top 10%
    • interferon and immune responses 4
    • Immunotherapy and Immune Responses 3
    • Cancer-related molecular mechanisms research 3

Howard R. Hubbell

29 papers receiving 792 citations

Peers

Howard R. Hubbell
Comparison fields: 5 of 90
  • Hematology 113
  • Molecular Biology 545
  • Genetics 83
  • Immunology 121
  • Plant Science 157
Replace Francine Creusot with:
Francine Creusot France
R. Simard Canada
Y Takagaki United States
Halina Sierakowska Poland
Yoshio Takagaki United States
S Farber United States
K M Lo United States
Michael A. Hadders Netherlands
Naomi Mendelsohn United States
M Okada Japan
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Citations per field
00.5×2.8×
Francine Creusot · 1×
Citations per year

Countries citing papers authored by Howard R. Hubbell

Since Specialization
Citations

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

Fields of papers citing papers by Howard R. Hubbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 19964
2 19955
3 19932
4 19924
5 19921
6 19927
7 199118
8 199120
9 19876
10 198713
11 198516
12 1985149
13
Comparative studies of ampligen (mismatched double-stranded RNA) and interferons.
198511
14
Independent sensitivity of human tumor cell lines to interferon and double-stranded RNA.
198438
15 198420
16 198333
17 19791
18 1979106
19 197762
20 19732

About Howard R. Hubbell

Howard R. Hubbell is a scholar working on Immunology, Cancer Research and Molecular Biology, having authored 29 papers that have together received 866 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), interferon and immune responses (4 papers), RNA Interference and Gene Delivery (4 papers), RNA modifications and cancer (4 papers), Immunotherapy and Immune Responses (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA Research and Splicing (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Hematology (113 citations), Molecular Biology (545 citations) and Genetics (83 citations). Howard R. Hubbell has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Tsai‐Ching Hsu, Lawrence Rothblum, Pacifico Meo, G Rovera, L Cioé, Peter J. Curtis, Alistair R. McNab, David Gillespie, T. C. Hsü and Yun‐Fai Chris Lau. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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