Daniel E. Bassi
Impact in
- Cancer Research top 10%
- Protease and Inhibitor Mechanisms
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- Ubiquitin and proteasome pathways 9
- Nuclear Structure and Function 4
- Protein Degradation and Inhibitors 3
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- Cellular transport and secretion 9
- Co-authors
- Andres J. Klein–Szanto (13 shared papers)Ricardo López de Cicco (5 shared papers)Jian Fu (4 shared papers)Haleh Mahloogi (2 shared papers)Samuel Litwin (3 shared papers)Jirong Zhang (6 shared papers)John A. Ridge (1 shared paper)James C. Watson (1 shared paper)
- Journals
- Molecular Carcinogenesis (6 papers)Neoplasia (3 papers)Prostaglandins Leukotrienes and Essential Fatty Acids (3 papers)Biochemical Pharmacology (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesArgentinaCanada
In The Last Decade
Daniel E. Bassi
19 papers receiving 784 citations
Peers
Comparison fields: 5 of 86
- Cancer Research 204
- Cell Biology 217
- Oncology 196
- Immunology and Allergy 41
- General Dentistry 9
Countries citing papers authored by Daniel E. Bassi
This map shows the geographic impact of Daniel E. Bassi'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 E. Bassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel E. Bassi more than expected).
Fields of papers citing papers by Daniel E. Bassi
This network shows the impact of papers produced by Daniel E. Bassi. 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 E. Bassi. The network helps show where Daniel E. Bassi may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel E. Bassi, 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 | 2005 | 193 | |
| 2 | 2001 | 114 | |
| 3 | 2007 | 72 | |
| 4 | 2004 | 69 | |
| 5 | 2000 | 66 | |
| 6 | 2005 | 43 | |
| 7 | 2019 | 39 | |
| 8 | 2010 | 37 | |
| 9 | 2017 | 36 | |
| 10 | 2016 | 30 | |
| 11 | 2012 | 25 | |
| 12 | 2007 | 23 | |
| 13 | 2013 | 14 | |
| 14 | 2005 | 13 | |
| 15 | 1992 | 10 | |
| 16 | 1990 | 9 | |
| 17 | 2014 | 7 | |
| 18 | 1990 | 7 | |
| 19 | 2012 | 1 |
About Daniel E. Bassi
Daniel E. Bassi is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Social Psychology and Oncology, having authored 19 papers that have together received 808 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Cellular transport and secretion (9 papers), Protease and Inhibitor Mechanisms (6 papers), Nuclear Structure and Function (4 papers), Protein Degradation and Inhibitors (3 papers), Neuroendocrine regulation and behavior (3 papers), Peptidase Inhibition and Analysis (3 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Cancer Research (204 citations), Cell Biology (217 citations), Oncology (196 citations), Immunology and Allergy (41 citations) and General Dentistry (9 citations). Daniel E. Bassi has collaborated with scholars based in United States, Argentina and Canada. Frequent co-authors include Andres J. Klein–Szanto, Ricardo López de Cicco, Jian Fu, Haleh Mahloogi, Samuel Litwin, Jirong Zhang, John A. Ridge, James C. Watson, Émmanuelle Nicolas and Stanley Zucker. Their work appears in journals such as Molecular Carcinogenesis, Neoplasia, Prostaglandins Leukotrienes and Essential Fatty Acids, Biochemical Pharmacology and Clinical Cancer Research.
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.