Cornelia Virus

465 total citations
9 papers, 348 citations indexed

About

Cornelia Virus is a scholar working on Molecular Biology, Pharmacology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Cornelia Virus has authored 9 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Pharmacology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Cornelia Virus's work include Pharmacogenetics and Drug Metabolism (6 papers), Steroid Chemistry and Biochemistry (6 papers) and Hormonal Regulation and Hypertension (4 papers). Cornelia Virus is often cited by papers focused on Pharmacogenetics and Drug Metabolism (6 papers), Steroid Chemistry and Biochemistry (6 papers) and Hormonal Regulation and Hypertension (4 papers). Cornelia Virus collaborates with scholars based in Germany, United States and France. Cornelia Virus's co-authors include Rita Bernhardt, Frank Hannemann, Michael R. Waterman, Galina I. Lepesheva, John S. Reader, Brenda Temple, Andrés Palencia, S. Cusack, Michael Lisurek and Ashutosh Tripathy and has published in prestigious journals such as Nature Communications, Biochemistry and PLoS Pathogens.

In The Last Decade

Cornelia Virus

9 papers receiving 344 citations

Peers

Cornelia Virus
Comparison fields: 5 of 51
  • Molecular Biology 264
  • Pharmacology 179
  • Endocrinology, Diabetes and Metabolism 79
  • Pharmacology 45
  • Plant Science 33
Replace Keiko Hayashi with:
Keiko Hayashi Japan
Akbar Z. Shyadehi United Kingdom
Reijer Lenstra United States
Yuri Aoyama Japan
Michael J. Szymonifka United States
Michael Widmann Germany
Aimee Usera United States
Thomas J. Mikkelson United States
Pedro Fong Macao
Elena Fossati Canada
Keiko Hayashi Japan View profile →
Citations per field, relative to Cornelia Virus
Cornelia Virus · 1×
Citations per year, relative to Cornelia Virus
Cornelia Virus · 1×

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-authorship network of co-authors of Cornelia Virus

This figure shows the co-authorship network connecting the top 25 collaborators of Cornelia Virus. A scholar is included among the top collaborators of Cornelia Virus 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 Cornelia Virus. Cornelia Virus is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 19
2 16
3 28
4 40
5 48
6 32
7 57
8 30
9 78

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026