The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Rudolf Beran sits on this spectrum.
This scientist: 100 publications — 11th percentile
11% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 537 publications or more.
The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Rudolf Beran sits on this spectrum.
This scientist: 34 D-Index — 21st percentile
21% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 86 D-Index or more.
Rudolf Beran is affiliated with the University of California, Davis in the United States and works primarily in the fields of Medicine, with a focus on Epidemiology, Hepatology, and Infectious Diseases. Their research spans both clinical and theoretical domains, incorporating elements of Artificial Intelligence and Statistical and Nonlinear Physics as subfields.
The scientist's recent publications cover topics related to liver diseases and viral infections. Notable papers include "Intrahepatic transcriptional profiling demonstrates preclinical models of chronic hepatitis B resemble different stages of natural history in humans" published in 2022 in the Journal of Hepatology, "Understanding and Targeting HBV Transcription and Post-Transcriptional Regulation" released in 2024 in Viruses, and "Cartesian Statistics on Spheres" from 2025 published on arXiv (Cornell University).
Research topics addressed by Rudolf Beran include:
Frequent coauthors collaborating with Rudolf Beran are:
The venues publishing their work reflect an intersection of specialized medical and broader scientific communities:
Rudolf Beran's research encompasses the study of chronic hepatitis B and C viruses, with an emphasis on transcriptional and post-transcriptional regulation mechanisms, as well as broader implications for liver disease diagnosis and treatment. They integrate advanced statistical methods in some of their work, bridging biomedical sciences with computational techniques.
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