Denise Ferrera
Impact in
- Clinical Biochemistry top 0.5%
- Advanced Glycation End Products research
- Immunology top 10%
- Immune Response and Inflammation
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
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- Immune Cell Function and Interaction 3
- T-cell and B-cell Immunology 1
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- Nuclear Structure and Function 2
- RNA Research and Splicing 2
- Co-authors
- Cristina Andrei (1 shared paper)Maria Rosaria Torrisi (1 shared paper)Marco E. Bianchi (1 shared paper)Lavinia Vittoria Lotti (1 shared paper)Anna Rubartelli (1 shared paper)Laura Gasparini (3 shared papers)Claudio Canale (3 shared papers)Marta Gritti (1 shared paper)
- Journals
- The FASEB Journal (1 paper)Human Molecular Genetics (1 paper)The Journal of Cell Biology (1 paper)European Journal of Immunology (1 paper)EMBO Reports (1 paper)
- Partner nations
- ItalyCanadaSwitzerland
In The Last Decade
Denise Ferrera
7 papers receiving 1.0k citations
Denise Ferrera's Hit Papers
Peers
Comparison fields: 5 of 93
- Clinical Biochemistry 457
- Immunology 350
- Neurology 75
- Molecular Biology 439
- Physiology 29
Countries citing papers authored by Denise Ferrera
This map shows the geographic impact of Denise Ferrera'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 Denise Ferrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denise Ferrera more than expected).
Fields of papers citing papers by Denise Ferrera
This network shows the impact of papers produced by Denise Ferrera. 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 Denise Ferrera. The network helps show where Denise Ferrera may publish in the future.
Co-authors
The 25 scholars most cited alongside Denise Ferrera, 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 | The nuclear protein HMGB1 is secreted by monocytes via a non‐classical, vesicle‐mediated secretory pathway Hit paper breakdown → | 2002 | 783 |
| 2 | 2015 | 106 | |
| 3 | 2014 | 61 | |
| 4 | 2006 | 40 | |
| 5 | 2014 | 32 | |
| 6 | 2008 | 6 | |
| 7 | 2006 | 1 |
About Denise Ferrera
Denise Ferrera is a scholar working on Immunology, Molecular Biology, Cell Biology, Surgery and Oncology, having authored 7 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Nuclear Structure and Function (2 papers), RNA Research and Splicing (2 papers), CAR-T cell therapy research (1 paper), Alzheimer's disease research and treatments (1 paper), Diabetes and associated disorders (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Clinical Biochemistry (457 citations), Immunology (350 citations), Neurology (75 citations), Molecular Biology (439 citations) and Physiology (29 citations). Denise Ferrera has collaborated with scholars based in Italy, Canada and Switzerland. Frequent co-authors include Cristina Andrei, Maria Rosaria Torrisi, Marco E. Bianchi, Lavinia Vittoria Lotti, Anna Rubartelli, Laura Gasparini, Claudio Canale, Marta Gritti, Simona Porcellini and Fabio Grassi. Their work appears in journals such as The FASEB Journal, Human Molecular Genetics, The Journal of Cell Biology, European Journal of Immunology and EMBO Reports.
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.