Mélanie Ott

26.5k citations
137 papers · 10.9k indexed · 4 hit papers · h-index 57

Mélanie Ott

134 papers receiving 10.7k citations

Hit Papers

Rapid assessment of SARS-...1932010202620152020200400600

Peers

Mélanie Ott
Comparison fields: 5 of 143
  • Virology 2.7k
  • Geriatrics and Gerontology 1.2k
  • Infectious Diseases 2.1k
  • Hepatology 686
  • Immunology 1.8k
Replace Antonello Mai with:
Antonello Mai Italy
Edward Seto United States
Enrico Garaci Italy
Neil D. Perkins United Kingdom
Michael O. Hottiger Switzerland
Kohsuke Takeda Japan
Ping Gao China
Benjamin Bonavida United States
Richard B. Gaynor United States
Takashi Ueno Japan
Mélanie Ott relative to Antonello Mai Italy Antonello Mai's profile →
Citations per field
00.5×6.8×
Antonello Mai · 1×
Citations per year

Countries citing papers authored by Mélanie Ott

Since Specialization
Citations

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

Fields of papers citing papers by Mélanie Ott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20246
3 20240
4 202315
5 202331
6 202241
7 20227
8 2021130
9 202144
10
Rapid assessment of SARS-CoV-2–evolved variants using virus-like particlesbreakdown →
2021193
11 202116
12 202020
13 201797
14 201734
15 2015124
16 201395
17 201183
18 2011143
19 200547
20 200543

About Mélanie Ott

Mélanie Ott is a scholar working on Virology, Geriatrics and Gerontology, Infectious Diseases, Hepatology and Biochemistry, having authored 137 papers that have together received 10.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (38 papers), SARS-CoV-2 and COVID-19 Research (18 papers), Hepatitis C virus research (15 papers), RNA Research and Splicing (14 papers), Protein Degradation and Inhibitors (13 papers), Sirtuins and Resveratrol in Medicine (12 papers), Immune Cell Function and Interaction (10 papers) and HIV/AIDS drug development and treatment (9 papers). The work is most often cited by research in Virology (2.7k citations), Geriatrics and Gerontology (1.2k citations), Infectious Diseases (2.1k citations), Hepatology (686 citations) and Immunology (1.8k citations). Mélanie Ott has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Eric Verdin, Stéphane Emiliani, Carine Van Lint, Eva Herker, Katrin Kaehlcke, Hye‐Sook Kwon, Martina Schnölzer, Roy A. Frye, Brian J. North and Ryan J. Conrad. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cell, PLoS Pathogens, Cell Host & Microbe and The Journal of Immunology.

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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