Laura Chiecchio
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
Papers in
- Hematology 20
- Multiple Myeloma Research and Treatments 19
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- Protein Degradation and Inhibitors 7
- Glycosylation and Glycoproteins Research 4
- Co-authors
- Gareth J. Morgan (14 shared papers)Gian Paolo Dagrada (16 shared papers)Faith E. Davies (11 shared papers)Brian A. Walker (11 shared papers)Fiona M. Ross (13 shared papers)Kevin Boyd (7 shared papers)R.K.M. Protheroe (12 shared papers)Christopher P. Wardell (7 shared papers)
- Journals
- Blood (9 papers)Genes Chromosomes and Cancer (4 papers)Haematologica (3 papers)Leukemia (3 papers)Clinical Cancer Research (2 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Laura Chiecchio
26 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 54
- Hematology 1.2k
- Oncology 470
- Genetics 175
- Molecular Biology 1.1k
- Pathology and Forensic Medicine 146
Countries citing papers authored by Laura Chiecchio
This map shows the geographic impact of Laura Chiecchio'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 Laura Chiecchio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Chiecchio more than expected).
Fields of papers citing papers by Laura Chiecchio
This network shows the impact of papers produced by Laura Chiecchio. 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 Laura Chiecchio. The network helps show where Laura Chiecchio may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Chiecchio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 265 | |
| 2 | 2011 | 230 | |
| 3 | 2010 | 196 | |
| 4 | 2011 | 132 | |
| 5 | 2006 | 104 | |
| 6 | 2007 | 100 | |
| 7 | 2008 | 80 | |
| 8 | 2010 | 68 | |
| 9 | 2009 | 56 | |
| 10 | 2005 | 54 | |
| 11 | 2011 | 49 | |
| 12 | 2009 | 45 | |
| 13 | 2016 | 42 | |
| 14 | 2009 | 41 | |
| 15 | 2011 | 34 | |
| 16 | 2003 | 25 | |
| 17 | 2003 | 24 | |
| 18 | 2014 | 17 | |
| 19 | 2003 | 11 | |
| 20 | 2003 | 10 |
About Laura Chiecchio
Laura Chiecchio is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (19 papers), Protein Degradation and Inhibitors (7 papers), Peptidase Inhibition and Analysis (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Glycosylation and Glycoproteins Research (4 papers), Cancer Genomics and Diagnostics (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Genomic variations and chromosomal abnormalities (2 papers). The work is most often cited by research in Hematology (1.2k citations), Oncology (470 citations), Genetics (175 citations), Molecular Biology (1.1k citations) and Pathology and Forensic Medicine (146 citations). Laura Chiecchio has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Gareth J. Morgan, Gian Paolo Dagrada, Faith E. Davies, Brian A. Walker, Fiona M. Ross, Kevin Boyd, R.K.M. Protheroe, Christopher P. Wardell, Zoë J. Konn and Walter M. Gregory. Their work appears in journals such as Blood, Genes Chromosomes and Cancer, Haematologica, Leukemia 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.