Dixie J. Goss

4.0k citations
102 papers · 3.4k indexed · h-index 33

Impact in

    • RNA and protein synthesis mechanisms
    • RNA Research and Splicing
    • RNA modifications and cancer
    • PI3K/AKT/mTOR signaling in cancer
    • RNA regulation and disease
    • CRISPR and Genetic Engineering

Papers in

    • RNA and protein synthesis mechanisms 55
    • RNA modifications and cancer 19
    • RNA Research and Splicing 16
    • RNA regulation and disease 10

Dixie J. Goss

101 papers receiving 3.3k citations

Peers

Dixie J. Goss
Comparison fields: 5 of 109
  • Molecular Biology 2.6k
  • Endocrinology 133
  • Plant Science 631
  • Biotechnology 136
  • Cardiology and Cardiovascular Medicine 335
Replace S A Sedman with:
S A Sedman United States
Jens Nyborg Denmark
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Takaho Terada Japan
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Giancarlo Tria United States
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M.S. Nissen United States
Søren Thirup Denmark
Dixie J. Goss relative to S A Sedman United States S A Sedman's profile →
Citations per field
00.5×10×15.6×
S A Sedman · 1×
Citations per year

Countries citing papers authored by Dixie J. Goss

Since Specialization
Citations

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

Fields of papers citing papers by Dixie J. Goss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dixie J. Goss. 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 Dixie J. Goss. The network helps show where Dixie J. Goss may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 20187
4 201733
5 201216
6 201292
7 201013
8 200919
9 200790
10 200637
11 2002211
12 200132
13 20001
14 199877
15 19975
16 199720
17 199613
18 199231
19 199110
20 198811

About Dixie J. Goss

Dixie J. Goss is a scholar working on Molecular Biology, Biotechnology, Cell Biology, Plant Science and Cardiology and Cardiovascular Medicine, having authored 102 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (55 papers), Plant Virus Research Studies (20 papers), RNA modifications and cancer (19 papers), RNA Research and Splicing (16 papers), Viral Infections and Immunology Research (12 papers), RNA regulation and disease (10 papers), Bacteriophages and microbial interactions (9 papers) and Hemoglobin structure and function (9 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Endocrinology (133 citations), Plant Science (631 citations), Biotechnology (136 citations) and Cardiology and Cardiovascular Medicine (335 citations). Dixie J. Goss has collaborated with scholars based in United States, Saudi Arabia and Japan. Frequent co-authors include Elizabeth C. Theil, Mateen A. Khan, Robert E. Rhoads, Susan E. Carberry, Lawrence J. Parkhurst, Daniel Gallie, Waldemar B. Minich, Jianzhong Hu, Chin‐Chuan Wei and Karen Browning. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, The FASEB Journal, 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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