Kami Chiotti
Impact in
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- Neurological diseases and metabolism
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- Prion Diseases and Protein Misfolding
- Fungal and yeast genetics research
- Microbial Metabolic Engineering and Bioproduction
Papers in
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- Ubiquitin and proteasome pathways 3
- Protein Degradation and Inhibitors 2
- Fungal and yeast genetics research 2
- Bacterial biofilms and quorum sensing 1
- Genetics 4
- Evolution and Genetic Dynamics 2
- Mesenchymal stem cell research 1
- Co-authors
- Frank Rosenzweig (4 shared papers)Gavin Sherlock (3 shared papers)Saisubramanian Nagarajan (2 shared papers)Jared W. Wenger (1 shared paper)Stanley B. Prusiner (1 shared paper)Dennis A. Stephenson (1 shared paper)Darlene Groth (1 shared paper)George A. Carlson (1 shared paper)
- Journals
- Scientific Reports (2 papers)Genomics (2 papers)Coronary Artery Disease (1 paper)JCI Insight (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesJapanIndia
In The Last Decade
Kami Chiotti
12 papers receiving 485 citations
Peers
Comparison fields: 5 of 67
- Neurology 56
- Molecular Biology 361
- Genetics 116
- Nutrition and Dietetics 53
- Food Science 51
Countries citing papers authored by Kami Chiotti
This map shows the geographic impact of Kami Chiotti'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 Kami Chiotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kami Chiotti more than expected).
Fields of papers citing papers by Kami Chiotti
This network shows the impact of papers produced by Kami Chiotti. 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 Kami Chiotti. The network helps show where Kami Chiotti may publish in the future.
Co-authors
The 25 scholars most cited alongside Kami Chiotti, 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 | 110 | |
| 2 | 2000 | 100 | |
| 3 | 2012 | 46 | |
| 4 | 2016 | 43 | |
| 5 | 2017 | 42 | |
| 6 | 2020 | 38 | |
| 7 | 2011 | 32 | |
| 8 | 2019 | 31 | |
| 9 | 2019 | 21 | |
| 10 | 2014 | 14 | |
| 11 | 2022 | 7 | |
| 12 | 2000 | 6 | |
| 13 | 2024 | 0 |
About Kami Chiotti
Kami Chiotti is a scholar working on Molecular Biology, Genetics, Oncology, Hematology and Cancer Research, having authored 13 papers that have together received 490 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Protein Degradation and Inhibitors (2 papers), Fungal and yeast genetics research (2 papers), Evolution and Genetic Dynamics (2 papers), Multiple Myeloma Research and Treatments (2 papers), Fermentation and Sensory Analysis (1 paper), Mesenchymal stem cell research (1 paper) and Bacterial biofilms and quorum sensing (1 paper). The work is most often cited by research in Neurology (56 citations), Molecular Biology (361 citations), Genetics (116 citations), Nutrition and Dietetics (53 citations) and Food Science (51 citations). Kami Chiotti has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Frank Rosenzweig, Gavin Sherlock, Saisubramanian Nagarajan, Jared W. Wenger, Stanley B. Prusiner, Dennis A. Stephenson, Darlene Groth, George A. Carlson, Stephen J. DeArmond and Julja Burchard. Their work appears in journals such as Scientific Reports, Genomics, Coronary Artery Disease, JCI Insight and Proceedings of the National Academy of Sciences.
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.