Sandro Rusconi
Impact in
- Genetics top 0.5%
- Estrogen and related hormone effects
- Virus-based gene therapy research
- Molecular Biology top 1%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA Interference and Gene Delivery
- CRISPR and Genetic Engineering
Papers in
- Co-authors
- Walter SchaffnerJulian BanerjiKeith R. YamamotoRoger L. MiesfeldPaul J. GodowskiW. SchaffnerGeorges KöhlerStefan Wieland
- Journals
- The EMBO Journal (6 papers)Nucleic Acids Research (3 papers)BioTechniques (3 papers)Nature (2 papers)Cell (2 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Sandro Rusconi
48 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Genetics 2.2k
- Molecular Biology 4.0k
- Behavioral Neuroscience 178
- Endocrinology, Diabetes and Metabolism 781
- Immunology 828
Countries citing papers authored by Sandro Rusconi
This map shows the geographic impact of Sandro Rusconi'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 Sandro Rusconi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandro Rusconi more than expected).
Fields of papers citing papers by Sandro Rusconi
This network shows the impact of papers produced by Sandro Rusconi. 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 Sandro Rusconi. The network helps show where Sandro Rusconi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sandro Rusconi, 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 | 2015 | 54 | |
| 2 | 2008 | 110 | |
| 3 | 2004 | 87 | |
| 4 | 2002 | 3 | |
| 5 | 2001 | 38 | |
| 6 | 2001 | 36 | |
| 7 | 2001 | 68 | |
| 8 | 1998 | 26 | |
| 9 | 1995 | 39 | |
| 10 | 1994 | 28 | |
| 11 | 1994 | 8 | |
| 12 | 1994 | 47 | |
| 13 | 1993 | 90 | |
| 14 | 1993 | 13 | |
| 15 | 1993 | 56 | |
| 16 | 1991 | 12 | |
| 17 | 1990 | 1 | |
| 18 | 1990 | 9 | |
| 19 | 1989 | 122 | |
| 20 | 1982 | 60 |
About Sandro Rusconi
Sandro Rusconi is a scholar working on Aging, Genetics, Immunology, Molecular Biology and Endocrine and Autonomic Systems, having authored 48 papers that have together received 6.2k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (13 papers), Virus-based gene therapy research (5 papers), Hormonal Regulation and Hypertension (5 papers), Genomics and Chromatin Dynamics (5 papers), Receptor Mechanisms and Signaling (5 papers), RNA Interference and Gene Delivery (4 papers), T-cell and B-cell Immunology (4 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Genetics (2.2k citations), Molecular Biology (4.0k citations), Behavioral Neuroscience (178 citations), Endocrinology, Diabetes and Metabolism (781 citations) and Immunology (828 citations). Sandro Rusconi has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Walter Schaffner, Julian Banerji, Keith R. Yamamoto, Roger L. Miesfeld, Paul J. Godowski, W. Schaffner, Georges Köhler, Stefan Wieland, Oleg Georgiev and Martin J. Hug. Their work appears in journals such as The EMBO Journal, Nucleic Acids Research, BioTechniques, Nature and Cell.
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.