Eric Ferrari

2.1k citations
17 papers · 1.4k indexed · 1 hit paper · h-index 13

Eric Ferrari

17 papers receiving 1.3k citations

Hit Papers

5971999202620082017100200300400500

Peers

Eric Ferrari
Comparison fields: 5 of 58
  • Hepatology 864
  • Virology 169
  • Infectious Diseases 492
  • Epidemiology 581
  • Cardiology and Cardiovascular Medicine 323
Replace Peter Friebe with:
Peter Friebe Germany
Jacquelyn Wright-Minogue United States
Shihyun You United States
Lucyna Cova France
B. Wolanski United States
Kyung-Soo Chang South Korea
Takashi Shimoike Japan
Tatsunori Nakano Japan
Gennadiy Koev United States
M. Homma Japan
Eric Ferrari relative to Peter Friebe Germany Peter Friebe's profile →
Citations per field
00.5×1.5×
Peter Friebe · 1×
Citations per year

Countries citing papers authored by Eric Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by Eric Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20184
2 20172
3 20133
4 201020
5 201016
6 200825
7 200097
8 2000162
9
Combination therapy with the farnesyl protein transferase inhibitor SCH66336 and SCH58500 (p53 adenovirus) in preclinical cancer models.
199926
10 1999597
11 1999210
12 199994
13 199727
14 19973
15 199745
16 199622
17 199676

About Eric Ferrari

Eric Ferrari is a scholar working on Hepatology, Infectious Diseases, Epidemiology, Cardiology and Cardiovascular Medicine and Biotechnology, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include Hepatitis C virus research (11 papers), Hepatitis B Virus Studies (8 papers), HIV/AIDS drug development and treatment (7 papers), Viral Infections and Immunology Research (5 papers), Viral gastroenteritis research and epidemiology (3 papers), Biochemical and Molecular Research (2 papers), Virus-based gene therapy research (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Hepatology (864 citations), Virology (169 citations), Infectious Diseases (492 citations), Epidemiology (581 citations) and Cardiology and Cardiovascular Medicine (323 citations). Eric Ferrari has collaborated with scholars based in United States, Slovakia and India. Frequent co-authors include Zhi Hong, Charles A. Lesburg, Michael Cable, Patricia C Weber, Anthony Mannarino, Johnson Y. N. Lau, Jacquelyn Wright-Minogue, Weidong Zhong, Zhi Hong and Annette S. Uss. Their work appears in journals such as Journal of Virology, Bioorganic & Medicinal Chemistry Letters, Antimicrobial Agents and Chemotherapy, Antiviral Research and Journal of Industrial Microbiology & 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026