Nanni Din
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
-
- RNA modifications and cancer
- Mitochondrial Function and Pathology
- RNA and protein synthesis mechanisms
- Protist diversity and phylogeny
- Peroxisome Proliferator-Activated Receptors
Papers in
-
- RNA modifications and cancer 4
- Protist diversity and phylogeny 4
- TGF-β signaling in diseases 2
- Peroxisome Proliferator-Activated Receptors 2
- Viral Infectious Diseases and Gene Expression in Insects 2
- Co-authors
- Jan Engberg (5 shared papers)Julie A. Buckingham (1 shared paper)Susana Cadenas (1 shared paper)Abdul G. Dulloo (1 shared paper)Martin D. Brand (1 shared paper)Sonia Samec (1 shared paper)Josiane Seydoux (1 shared paper)Werner A. Eckert (2 shared papers)
- Journals
- Nucleic Acids Research (3 papers)Yeast (2 papers)Journal of Molecular Biology (2 papers)Breast Cancer Research and Treatment (1 paper)DNA and Cell Biology (1 paper)
- Partner nations
- DenmarkUnited KingdomGermany
In The Last Decade
Nanni Din
20 papers receiving 722 citations
Peers
Comparison fields: 5 of 79
- Physiology 253
- Molecular Biology 494
- Cell Biology 112
- Parasitology 37
- Aging 9
Countries citing papers authored by Nanni Din
This map shows the geographic impact of Nanni Din'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 Nanni Din with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanni Din more than expected).
Fields of papers citing papers by Nanni Din
This network shows the impact of papers produced by Nanni Din. 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 Nanni Din. The network helps show where Nanni Din may publish in the future.
Co-authors
The 25 scholars most cited alongside Nanni Din, 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 | 1999 | 205 | |
| 2 | 1979 | 67 | |
| 3 | 1979 | 57 | |
| 4 | 2010 | 57 | |
| 5 | 2003 | 50 | |
| 6 | 1980 | 35 | |
| 7 | 2013 | 34 | |
| 8 | 2003 | 32 | |
| 9 | 1982 | 30 | |
| 10 | 1992 | 30 | |
| 11 | 2003 | 28 | |
| 12 | 1995 | 24 | |
| 13 | 1996 | 23 | |
| 14 | 1997 | 21 | |
| 15 | 1984 | 20 | |
| 16 | 1985 | 15 | |
| 17 | 1999 | 14 | |
| 18 | 1992 | 10 | |
| 19 | 1993 | 8 | |
| 20 | 1986 | 1 |
About Nanni Din
Nanni Din is a scholar working on Molecular Biology, Physiology, Parasitology, Cell Biology and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 761 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Protist diversity and phylogeny (4 papers), Neuropeptides and Animal Physiology (3 papers), Parasitic Infections and Diagnostics (2 papers), TGF-β signaling in diseases (2 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Physiology (253 citations), Molecular Biology (494 citations), Cell Biology (112 citations), Parasitology (37 citations) and Aging (9 citations). Nanni Din has collaborated with scholars based in Denmark, United Kingdom and Germany. Frequent co-authors include Jan Engberg, Julie A. Buckingham, Susana Cadenas, Abdul G. Dulloo, Martin D. Brand, Sonia Samec, Josiane Seydoux, Werner A. Eckert, Walter Kaffenberger and Leif Christensen. Their work appears in journals such as Nucleic Acids Research, Yeast, Journal of Molecular Biology, Breast Cancer Research and Treatment and DNA and Cell Biology.
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.