Diana Sheiness

2.7k citations
21 papers · 2.3k indexed · 2 hit papers · h-index 17

Diana Sheiness

21 papers receiving 2.0k citations

Hit Papers

Isolation and characterization of c-myc, a cellular homol...224197920261994201050100150200

Peers

Diana Sheiness
Comparison fields: 5 of 95
  • Molecular Biology 1.6k
  • Genetics 514
  • Animal Science and Zoology 181
  • Immunology 364
  • Oncology 393
Replace R. Howk with:
R. Howk United States
Fred H. Reynolds United States
Ronald Ellis United States
Arnold S. Dion United States
J. Hilgers Netherlands
Eiichi Soeda Japan
S Weissman United States
Harvey L. Ozer United States
C. Lagrou France
Gek Kee Sim United States
Diana Sheiness relative to R. Howk United States R. Howk's profile →
Citations per field
00.5×
R. Howk · 1×
Citations per year

Countries citing papers authored by Diana Sheiness

Since Specialization
Citations

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

Fields of papers citing papers by Diana Sheiness

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20064
2 19958
3 199233
4 198518
5 198431
6 1984122
7
Isolation and characterization of c-myc, a cellular homolog of the oncogene (v-myc) of avian myelocytomatosis virus strain 29breakdown →
1982224
8 1982376
9 198168
10 198163
11 198034
12 198079
13 198063
14
DNA and RNA from Uninfected Vertebrate Cells Contain Nucleotide Sequences Related to the Putative Transforming Gene of Avian Myelocytomatosis Virusbreakdown →
1979224
15
Genesis of a virus-transforming gene.
197811
16 1978123
17 197593
18 19747
19 1973208
20 1973284

About Diana Sheiness

Diana Sheiness is a scholar working on Animal Science and Zoology, Microbiology and Genetics, having authored 21 papers that have together received 2.3k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (6 papers), Plant Virus Research Studies (5 papers), RNA Research and Splicing (5 papers), Animal Genetics and Reproduction (4 papers), RNA and protein synthesis mechanisms (4 papers), T-cell and Retrovirus Studies (2 papers), Herpesvirus Infections and Treatments (2 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Genetics (514 citations) and Animal Science and Zoology (181 citations). Diana Sheiness has collaborated with scholars based in United States. Frequent co-authors include J. Michael Bishop, Thomas J. Gonda, J. Michael Bishop, James Darnell, Björn Vennström, Minnetta V. Gardinier, Lois Fanshier, Jan Zabielski, Marianne Salditt and George R. Molloy. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nature Biotechnology.

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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