Cornelia Virus

465 citations
9 papers · 348 · h-index 9

Impact in

Papers in

    • Steroid Chemistry and Biochemistry 6
    • RNA and protein synthesis mechanisms 2
    • Genomics and Phylogenetic Studies 2
    • Pharmacogenetics and Drug Metabolism 6

Cornelia Virus

9 papers receiving 344 citations

Peers

Cornelia Virus
Comparison fields: 5 of 51
  • Pharmacology 179
  • Endocrinology, Diabetes and Metabolism 79
  • Molecular Biology 264
  • Horticulture 3
  • Pharmacology 45
Replace Keiko Hayashi with:
Keiko Hayashi Japan
Akbar Z. Shyadehi United Kingdom
Michael J. Szymonifka United States
Reijer Lenstra United States
Yuri Aoyama Japan
Aimee Usera United States
Colette Denier France
Thomas J. Mikkelson United States
Priya Wazir India
Pedro Fong Macao
Cornelia Virus relative to Keiko Hayashi Japan Keiko Hayashi's profile →
Citations per field
00.5×1.5×1.9×
Keiko Hayashi · 1×
Citations per year

Countries citing papers authored by Cornelia Virus

Since Specialization
Citations

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

Fields of papers citing papers by Cornelia Virus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Cornelia Virus, 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 Cornelia Virus Line = papers co-authored together Cornelia Virus links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 200378
2 200657
3 201248
4 201340
5 200832
6 200630
7 201528
8 201719
9 201616

About Cornelia Virus

Cornelia Virus is a scholar working on Molecular Biology, Pharmacology, Endocrinology, Diabetes and Metabolism, Genetics and Oncology, having authored 9 papers that have together received 348 indexed citations. Recurring topics across this work include Steroid Chemistry and Biochemistry (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Hormonal Regulation and Hypertension (4 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (2 papers), Plant-Microbe Interactions and Immunity (1 paper), Estrogen and related hormone effects (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Pharmacology (179 citations), Endocrinology, Diabetes and Metabolism (79 citations), Molecular Biology (264 citations), Horticulture (3 citations) and Pharmacology (45 citations). Cornelia Virus has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Rita Bernhardt, Frank Hannemann, Galina I. Lepesheva, Michael R. Waterman, John S. Reader, S. Cusack, Andrés Palencia, Brenda Temple, Michael Lisurek and Ashutosh Tripathy. Their work appears in journals such as Nature Communications, PLoS Pathogens, Journal of Biotechnology, ChemBioChem and Steroids.

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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