Diana Sheiness

2.7k total citations · 2 hit papers
21 papers, 2.3k citations indexed

About

Diana Sheiness is a scholar working on Molecular Biology, Animal Science and Zoology and Genetics. According to data from OpenAlex, Diana Sheiness has authored 21 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Animal Science and Zoology and 6 papers in Genetics. Recurrent topics in Diana Sheiness's work include Animal Virus Infections Studies (6 papers), Plant Virus Research Studies (5 papers) and RNA Research and Splicing (5 papers). Diana Sheiness is often cited by papers focused on Animal Virus Infections Studies (6 papers), Plant Virus Research Studies (5 papers) and RNA Research and Splicing (5 papers). Diana Sheiness collaborates with scholars based in United States. Diana Sheiness's 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 and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Biotechnology.

In The Last Decade

Diana Sheiness

21 papers receiving 2.0k citations

Hit Papers

DNA and RNA from Uninfected Vertebrate Cells Contain Nucl... 1979 2026 1994 2010 1979 1982 50 100 150 200

Peers

Diana Sheiness
Comparison fields: 5 of 95
  • Molecular Biology 1.6k
  • Genetics 514
  • Oncology 393
  • Immunology 364
  • Plant Science 224
Replace R. Howk with:
R. Howk United States
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Ronald Ellis United States
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F Puvion-Dutilleul France
Harvey L. Ozer United States
Sadaaki Kawai Japan
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Citations per field, relative to Diana Sheiness
Diana Sheiness · 1×
Citations per year, relative to Diana Sheiness
Diana Sheiness · 1×

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 of co-authors of Diana Sheiness

This figure shows the co-authorship network connecting the top 25 collaborators of Diana Sheiness. A scholar is included among the top collaborators of Diana Sheiness based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Diana Sheiness. Diana Sheiness is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 8
3 33
4 18
5 31
6 122
7
Isolation and characterization of c-myc, a cellular homolog of the oncogene (v-myc) of avian myelocytomatosis virus strain 29 breakdown →
224
8 376
9 68
10 63
11 34
12 79
13 63
14
DNA and RNA from Uninfected Vertebrate Cells Contain Nucleotide Sequences Related to the Putative Transforming Gene of Avian Myelocytomatosis Virus breakdown →
224
15
Genesis of a virus-transforming gene.
11
16 123
17 93
18 7
19 208
20 284

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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