Roberto Nitsch
Impact in
- Aging top 10%
Papers in
-
- CRISPR and Genetic Engineering 6
- Cancer-related gene regulation 3
- DNA Repair Mechanisms 2
- RNA regulation and disease 2
- Single-cell and spatial transcriptomics 1
- Genetics 3
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3
- Co-authors
- Mariastella Zannini (5 shared papers)Roberto Di Lauro (4 shared papers)Tina Di Palma (3 shared papers)Anna Mascia (2 shared papers)Lucio Nitsch (3 shared papers)Amir Taheri‐Ghahfarokhi (3 shared papers)Marcello Maresca (3 shared papers)Mohammad Bohlooly‐Y (3 shared papers)
- Journals
- Nature Communications (2 papers)Nature Methods (1 paper)Molecular Therapy (1 paper)BMC Biology (1 paper)BMC Genomics (1 paper)
- Partner nations
- SwedenItalyUnited Kingdom
In The Last Decade
Roberto Nitsch
13 papers receiving 622 citations
Peers
Comparison fields: 5 of 70
- Aging 27
- Business and International Management 21
- Molecular Biology 509
- Endocrinology, Diabetes and Metabolism 97
- Genetics 150
Countries citing papers authored by Roberto Nitsch
This map shows the geographic impact of Roberto Nitsch'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 Roberto Nitsch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Nitsch more than expected).
Fields of papers citing papers by Roberto Nitsch
This network shows the impact of papers produced by Roberto Nitsch. 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 Roberto Nitsch. The network helps show where Roberto Nitsch may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Nitsch, 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 | 2003 | 117 | |
| 2 | 2017 | 85 | |
| 3 | 2013 | 83 | |
| 4 | 2018 | 69 | |
| 5 | 2019 | 64 | |
| 6 | 2018 | 57 | |
| 7 | 2005 | 35 | |
| 8 | 2011 | 35 | |
| 9 | 2004 | 24 | |
| 10 | 2006 | 22 | |
| 11 | 2022 | 20 | |
| 12 | 2010 | 18 | |
| 13 | 2025 | 1 |
About Roberto Nitsch
Roberto Nitsch is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 630 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Cancer-related gene regulation (3 papers), DNA Repair Mechanisms (2 papers), RNA regulation and disease (2 papers), Single-cell and spatial transcriptomics (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Aging (27 citations), Business and International Management (21 citations), Molecular Biology (509 citations), Endocrinology, Diabetes and Metabolism (97 citations) and Genetics (150 citations). Roberto Nitsch has collaborated with scholars based in Sweden, Italy and United Kingdom. Frequent co-authors include Mariastella Zannini, Roberto Di Lauro, Tina Di Palma, Anna Mascia, Lucio Nitsch, Amir Taheri‐Ghahfarokhi, Marcello Maresca, Mohammad Bohlooly‐Y, Lorenz M. Mayr and Maryam Clausen. Their work appears in journals such as Nature Communications, Nature Methods, Molecular Therapy, BMC Biology and BMC Genomics.
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.