Daniel J. Rigotti
Impact in
- Molecular Biology top 10%
- Cell death mechanisms and regulation
- TGF-β signaling in diseases
- Ubiquitin and proteasome pathways
- RNA Interference and Gene Delivery
- Protein Structure and Dynamics
- ATP Synthase and ATPases Research
Papers in
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- Cell death mechanisms and regulation 2
- Protein Structure and Dynamics 2
- Porphyrin Metabolism and Disorders 2
- RNA and protein synthesis mechanisms 2
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- Endoplasmic Reticulum Stress and Disease 1
- Co-authors
- Robert Fairman (9 shared papers)Yigong Shi (3 shared papers)Jijie Chai (2 shared papers)Eric N. Shiozaki (2 shared papers)Srinivasa M. Srinivasula (2 shared papers)Emad S. Alnemri (1 shared paper)Stefan J. Riedl (1 shared paper)Pingwei Li (1 shared paper)
- Journals
- Biochemistry (4 papers)Molecular Cell (2 papers)Analytical Biochemistry (1 paper)European Journal of Radiology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Daniel J. Rigotti
10 papers receiving 1.0k citations
Daniel J. Rigotti's Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 947
- Immunology 142
- Oncology 169
- Cell Biology 99
- Cancer Research 81
Countries citing papers authored by Daniel J. Rigotti
This map shows the geographic impact of Daniel J. Rigotti'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 Daniel J. Rigotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Rigotti more than expected).
Fields of papers citing papers by Daniel J. Rigotti
This network shows the impact of papers produced by Daniel J. Rigotti. 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 Daniel J. Rigotti. The network helps show where Daniel J. Rigotti may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Rigotti, 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 | Mechanism of XIAP-Mediated Inhibition of Caspase-9 Hit paper breakdown → | 2003 | 566 |
| 2 | 2001 | 245 | |
| 3 | 2005 | 105 | |
| 4 | 2004 | 63 | |
| 5 | 2003 | 28 | |
| 6 | 2002 | 25 | |
| 7 | 2008 | 16 | |
| 8 | 2013 | 10 | |
| 9 | 2005 | 8 | |
| 10 | 2004 | 6 |
About Daniel J. Rigotti
Daniel J. Rigotti is a scholar working on Molecular Biology, Cell Biology, Materials Chemistry, Surgery and Pathology and Forensic Medicine, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (2 papers), Cell death mechanisms and regulation (2 papers), Protein Structure and Dynamics (2 papers), Porphyrin Metabolism and Disorders (2 papers), RNA and protein synthesis mechanisms (2 papers), Folate and B Vitamins Research (1 paper), Neuroscience and Neural Engineering (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Molecular Biology (947 citations), Immunology (142 citations), Oncology (169 citations), Cell Biology (99 citations) and Cancer Research (81 citations). Daniel J. Rigotti has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Robert Fairman, Yigong Shi, Jijie Chai, Eric N. Shiozaki, Srinivasa M. Srinivasula, Emad S. Alnemri, Stefan J. Riedl, Pingwei Li, Daniel P. Raleigh and Min Hu. Their work appears in journals such as Biochemistry, Molecular Cell, Analytical Biochemistry, European Journal of Radiology and Journal of Biological Chemistry.
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.