Elena Nardini
Impact in
- Hematology top 1%
- Multiple Myeloma Research and Treatments
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Glycosylation and Glycoproteins Research 3
- Oncology 5
- Peptidase Inhibition and Analysis 3
- Co-authors
- Marta Chesi (4 shared papers)W. Michael Kuehl (4 shared papers)P. Leif Bergsagel (4 shared papers)Leslie A. Brents (2 shared papers)Kerrington D. Smith (2 shared papers)Robert Lim (2 shared papers)Evelin Schröck (1 shared paper)Thomas Ried (1 shared paper)
- Journals
- Blood (3 papers)International Journal of Cancer (2 papers)Journal of Agricultural and Food Chemistry (2 papers)Laboratory Investigation (1 paper)Nature Genetics (1 paper)
- Partner nations
- ItalyUnited StatesMalaysia
In The Last Decade
Elena Nardini
18 papers receiving 1.7k citations
Elena Nardini's Hit Papers
Peers
Comparison fields: 5 of 96
- Hematology 742
- Genetics 285
- Oncology 466
- Molecular Biology 1.1k
- Immunology 208
Countries citing papers authored by Elena Nardini
This map shows the geographic impact of Elena Nardini'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 Elena Nardini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Nardini more than expected).
Fields of papers citing papers by Elena Nardini
This network shows the impact of papers produced by Elena Nardini. 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 Elena Nardini. The network helps show where Elena Nardini may publish in the future.
Co-authors
The 25 scholars most cited alongside Elena Nardini, 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 | Frequent translocation t(4;14)(p16.3;q32.3) in multiple myeloma is associated with increased expression and activating mutations of fibroblast growth factor receptor 3 Hit paper breakdown → | 1997 | 543 |
| 2 | 1998 | 447 | |
| 3 | 1996 | 304 | |
| 4 | 2007 | 192 | |
| 5 | 2009 | 90 | |
| 6 | 2007 | 51 | |
| 7 | 1998 | 50 | |
| 8 | 2005 | 24 | |
| 9 | 2000 | 23 | |
| 10 | 2014 | 12 | |
| 11 | 2002 | 10 | |
| 12 | 2015 | 10 | |
| 13 | 2015 | 9 | |
| 14 | 2003 | 8 | |
| 15 | 2001 | 8 | |
| 16 | 2002 | 6 | |
| 17 | 2012 | 3 | |
| 18 | 2013 | 1 |
About Elena Nardini
Elena Nardini is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Hematology and Immunology, having authored 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (4 papers), Glycosylation and Glycoproteins Research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Lymphoma Diagnosis and Treatment (3 papers), Peptidase Inhibition and Analysis (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Genetically Modified Organisms Research (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Hematology (742 citations), Genetics (285 citations), Oncology (466 citations), Molecular Biology (1.1k citations) and Immunology (208 citations). Elena Nardini has collaborated with scholars based in Italy, United States and Malaysia. Frequent co-authors include Marta Chesi, W. Michael Kuehl, P. Leif Bergsagel, Leslie A. Brents, Kerrington D. Smith, Robert Lim, Evelin Schröck, Thomas Ried, Suzanne L. Kirby and Sylvie Ménard. Their work appears in journals such as Blood, International Journal of Cancer, Journal of Agricultural and Food Chemistry, Laboratory Investigation and Nature Genetics.
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.