Sylvie Lachmann
Impact in
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- Parvovirus B19 Infection Studies
- Viral Infections and Vectors
- Viral Infections and Outbreaks Research
- Animal Science and Zoology top 10%
- Animal Virus Infections Studies
Papers in
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- Protein Kinase Regulation and GTPase Signaling 3
- RNA Research and Splicing 2
- PI3K/AKT/mTOR signaling in cancer 2
- Genetics 5
- Virus-based gene therapy research 5
- Co-authors
- Jürg P. F. Nüesch (5 shared papers)Jean Rommelaere (4 shared papers)Peter J. Parker (3 shared papers)Manu De Rycker (2 shared papers)Simone Radtke (2 shared papers)Adele Casamassima (2 shared papers)Séverine Bär (2 shared papers)Romuald Corbau (1 shared paper)
- Journals
- Journal of Virology (3 papers)Journal of Biotechnology (1 paper)Cell Reports (1 paper)Journal of Cell Science (1 paper)Cellular Microbiology (1 paper)
- Partner nations
- GermanyUnited KingdomSlovakia
In The Last Decade
Sylvie Lachmann
11 papers receiving 345 citations
Peers
Comparison fields: 5 of 57
- Infectious Diseases 113
- Animal Science and Zoology 59
- Genetics 144
- Cell Biology 45
- Molecular Biology 179
Countries citing papers authored by Sylvie Lachmann
This map shows the geographic impact of Sylvie Lachmann'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 Sylvie Lachmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sylvie Lachmann more than expected).
Fields of papers citing papers by Sylvie Lachmann
This network shows the impact of papers produced by Sylvie Lachmann. 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 Sylvie Lachmann. The network helps show where Sylvie Lachmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Sylvie Lachmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 64 | |
| 2 | 2004 | 44 | |
| 3 | 2016 | 37 | |
| 4 | 1999 | 36 | |
| 5 | 2013 | 34 | |
| 6 | 2002 | 34 | |
| 7 | 2003 | 26 | |
| 8 | 2008 | 23 | |
| 9 | 2009 | 22 | |
| 10 | 1999 | 20 | |
| 11 | 2002 | 11 |
About Sylvie Lachmann
Sylvie Lachmann is a scholar working on Molecular Biology, Genetics, Infectious Diseases, Epidemiology and Animal Science and Zoology, having authored 11 papers that have together received 351 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Hepatitis B Virus Studies (3 papers), Animal Virus Infections Studies (2 papers), Parvovirus B19 Infection Studies (2 papers), Viral Infections and Outbreaks Research (2 papers), RNA Research and Splicing (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Infectious Diseases (113 citations), Animal Science and Zoology (59 citations), Genetics (144 citations), Cell Biology (45 citations) and Molecular Biology (179 citations). Sylvie Lachmann has collaborated with scholars based in Germany, United Kingdom and Slovakia. Frequent co-authors include Jürg P. F. Nüesch, Jean Rommelaere, Peter J. Parker, Manu De Rycker, Simone Radtke, Adele Casamassima, Séverine Bär, Romuald Corbau, Rainer G. Ulrich and Galina Borisova. Their work appears in journals such as Journal of Virology, Journal of Biotechnology, Cell Reports, Journal of Cell Science and Cellular Microbiology.
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.