Daniel Trambaiolo
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Microtubule and mitosis dynamics
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
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- Ubiquitin and proteasome pathways 2
- Microbial metabolism and enzyme function 2
- Glycosylation and Glycoproteins Research 1
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- Endoplasmic Reticulum Stress and Disease 2
- Hemoglobin structure and function 2
- Microtubule and mitosis dynamics 1
- Co-authors
- Jan Löwe (3 shared papers)María A. Oliva (1 shared paper)Thomas Slagsvold (2 shared papers)Harald Stenmark (2 shared papers)Satoshi Hirano (2 shared papers)Soichi Wakatsuki (2 shared papers)Kristi G. Bache (1 shared paper)Rein Aasland (1 shared paper)
- Journals
- Journal of Molecular Biology (2 papers)Nature Communications (1 paper)Nature Structural & Molecular Biology (1 paper)Journal of Biological Chemistry (1 paper)Osiris (1 paper)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Daniel Trambaiolo
7 papers receiving 527 citations
Peers
Comparison fields: 5 of 72
- Cell Biology 215
- Molecular Medicine 43
- Physiology 37
- Genetics 168
- Molecular Biology 353
Countries citing papers authored by Daniel Trambaiolo
This map shows the geographic impact of Daniel Trambaiolo'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 Trambaiolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Trambaiolo more than expected).
Fields of papers citing papers by Daniel Trambaiolo
This network shows the impact of papers produced by Daniel Trambaiolo. 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 Trambaiolo. The network helps show where Daniel Trambaiolo may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Trambaiolo, 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 | 2007 | 145 | |
| 2 | 2005 | 144 | |
| 3 | 2008 | 74 | |
| 4 | 2014 | 65 | |
| 5 | 2004 | 50 | |
| 6 | 2006 | 44 | |
| 7 | 2008 | 10 | |
| 8 | 2022 | 0 |
About Daniel Trambaiolo
Daniel Trambaiolo is a scholar working on Molecular Biology, Cell Biology, Genetics, Sociology and Political Science and Ecology, having authored 8 papers that have together received 532 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Microbial metabolism and enzyme function (2 papers), Hemoglobin structure and function (2 papers), Bacterial Genetics and Biotechnology (2 papers), Glycosylation and Glycoproteins Research (1 paper), Biochemical Acid Research Studies (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Cell Biology (215 citations), Molecular Medicine (43 citations), Physiology (37 citations), Genetics (168 citations) and Molecular Biology (353 citations). Daniel Trambaiolo has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Jan Löwe, María A. Oliva, Thomas Slagsvold, Harald Stenmark, Satoshi Hirano, Soichi Wakatsuki, Kristi G. Bache, Rein Aasland, Camilla Raiborg and Debnath Ghosal. Their work appears in journals such as Journal of Molecular Biology, Nature Communications, Nature Structural & Molecular Biology, Journal of Biological Chemistry and Osiris.
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.