H. Green

1.7k citations
13 papers · 1.6k indexed · 1 hit paper · h-index 11

Impact in

  • Physiology top 2%
    • Adenosine and Purinergic Signaling
    • Biochemical and Molecular Research
    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA Interference and Gene Delivery
    • Molecular Biology Techniques and Applications

Papers in

    • Virus-based gene therapy research 4
    • Animal Genetics and Reproduction 1

H. Green

13 papers receiving 1.4k citations

Hit Papers

Two Types of Ribosome in Mouse–Hamster Hybrid Cells 1971 · 550 citations
5501971202619892007100200300400500

Peers

H. Green
Comparison fields: 5 of 97
  • Physiology 131
  • Molecular Biology 1.2k
  • Genetics 266
  • Cancer Research 97
  • Oncology 166
Replace G.A. Fischer with:
G.A. Fischer United States
Friedrich Grummt Germany
Birgitte Munch‐Petersen Denmark
A L Hubbard United States
R. Geiger Germany
Stuart Kornfeld United States
Peter W. Melera United States
Monica Hirsch‐Kauffmann Germany
Roland Henning Germany
Takahisa Shinomiya Japan
H. Green relative to G.A. Fischer United States G.A. Fischer's profile →
Citations per field
00.5×10×16×
G.A. Fischer · 1×
Citations per year

Countries citing papers authored by H. Green

Since Specialization
Citations

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

Fields of papers citing papers by H. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. Green. 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 H. Green. The network helps show where H. Green may publish in the future.

Co-authors

The 24 scholars most cited alongside H. Green, 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 H. Green Line = papers co-authored together H. Green links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 200154
2 1975120
3 1974158
4 1974249
5 1973226
6 197319
7 197233
8 197237
9 19718
10
Two Types of Ribosome in Mouse–Hamster Hybrid Cells
Hit paper breakdown →
1971550
11 197112
12 197196
13 19708

About H. Green

H. Green is a scholar working on Physiology, Genetics, Biochemistry, Molecular Biology and Biotechnology, having authored 13 papers that have together received 1.6k indexed citations. Recurring topics across this work include Biochemical and Molecular Research (4 papers), Virus-based gene therapy research (4 papers), Cytomegalovirus and herpesvirus research (3 papers), RNA modifications and cancer (2 papers), RNA Research and Splicing (2 papers), Aluminum toxicity and tolerance in plants and animals (1 paper), Animal Genetics and Reproduction (1 paper) and Cancer Research and Treatments (1 paper). The work is most often cited by research in Physiology (131 citations), Molecular Biology (1.2k citations), Genetics (266 citations), Cancer Research (97 citations) and Oncology (166 citations). H. Green has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Clifford P. Stanners, George L. Eliceiri, Kazuhiro Ishii, H T Abelson, Lee F. Johnson, Sheldon Penman, Jesús Salas, Jason G. Williams, R.L. Tsai and Richard S. Houlston. Their work appears in journals such as Cell, Journal of Cell Science, Journal of Cellular Physiology, Biochemical Genetics and Journal of 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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