Barbara Celona
Impact in
- Clinical Biochemistry top 1%
- Advanced Glycation End Products research
- Immunology top 10%
- Immune Response and Inflammation
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune cells in cancer
Papers in
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- RNA Research and Splicing 4
- Epigenetics and DNA Methylation 2
- Genomics and Chromatin Dynamics 2
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- Advanced Glycation End Products research 4
- Co-authors
- Marco E. Bianchi (4 shared papers)Brian L. Black (8 shared papers)Amanda E. I. Proudfoot (1 shared paper)Francesco De Marchis (1 shared paper)Angela Bachi (1 shared paper)Luca Varani (1 shared paper)Laura Martínez‐Muñoz (1 shared paper)Tiziana Apuzzo (1 shared paper)
- Journals
- Nature Communications (2 papers)Science Signaling (1 paper)Cell Reports (1 paper)The Journal of Experimental Medicine (1 paper)Neuron (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Barbara Celona
13 papers receiving 984 citations
Barbara Celona's Hit Papers
Peers
Comparison fields: 5 of 86
- Clinical Biochemistry 305
- Immunology 282
- Neurology 66
- Molecular Biology 469
- Cancer Research 71
Countries citing papers authored by Barbara Celona
This map shows the geographic impact of Barbara Celona'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 Barbara Celona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Celona more than expected).
Fields of papers citing papers by Barbara Celona
This network shows the impact of papers produced by Barbara Celona. 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 Barbara Celona. The network helps show where Barbara Celona may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Celona, 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 | HMGB1 promotes recruitment of inflammatory cells to damaged tissues by forming a complex with CXCL12 and signaling via CXCR4 Hit paper breakdown → | 2012 | 521 |
| 2 | 2011 | 155 | |
| 3 | 2014 | 70 | |
| 4 | 2013 | 69 | |
| 5 | 2020 | 42 | |
| 6 | 2017 | 38 | |
| 7 | 2021 | 37 | |
| 8 | 2012 | 19 | |
| 9 | 2023 | 13 | |
| 10 | 2017 | 12 | |
| 11 | 2021 | 7 | |
| 12 | 2009 | 7 | |
| 13 | 2024 | 5 |
About Barbara Celona
Barbara Celona is a scholar working on Molecular Biology, Clinical Biochemistry, Genetics, Neurology and Genetics, having authored 13 papers that have together received 995 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (4 papers), RNA Research and Splicing (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Epigenetics and DNA Methylation (2 papers), Neurogenetic and Muscular Disorders Research (2 papers), Diabetes and associated disorders (2 papers), Genomics and Chromatin Dynamics (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Clinical Biochemistry (305 citations), Immunology (282 citations), Neurology (66 citations), Molecular Biology (469 citations) and Cancer Research (71 citations). Barbara Celona has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Marco E. Bianchi, Brian L. Black, Amanda E. I. Proudfoot, Francesco De Marchis, Angela Bachi, Luca Varani, Laura Martínez‐Muñoz, Tiziana Apuzzo, Mariagrazia Uguccioni and Milena Schiraldi. Their work appears in journals such as Nature Communications, Science Signaling, Cell Reports, The Journal of Experimental Medicine and Neuron.
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.