Elena Arighi
- Molecular Biology top 10%
- Oncology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 10%
- Genetics top 10%
- Co-authors
- Maria Grazia BorrelloHannu SariolaMarco A. PierottiItalia BongarzonePiera MondelliniKari AlitaloLuisella AlbertiBarbara Pasini
- Topics
- Wnt/β-catenin signaling in development and cancer (5 papers)Thyroid Cancer Diagnosis and Treatment (4 papers)Congenital gastrointestinal and neural anomalies (3 papers)
- Partner nations
- ItalyFinlandUnited States
In The Last Decade
Elena Arighi
18 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 81
- Molecular Biology 1.2k
- Oncology 682
- Endocrinology, Diabetes and Metabolism 515
- Surgery 326
- Genetics 326
Countries citing papers authored by Elena Arighi
This map shows the geographic impact of Elena Arighi'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 Arighi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elena Arighi more than expected).
Fields of papers citing papers by Elena Arighi
This network shows the impact of papers produced by Elena Arighi. 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 Arighi. The network helps show where Elena Arighi may publish in the future.
Co-authorship network of co-authors of Elena Arighi
This figure shows the co-authorship network connecting the top 25 collaborators of Elena Arighi. A scholar is included among the top collaborators of Elena Arighi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Elena Arighi. Elena Arighi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 338 | |
| 3 | MOLECULAR CHARACTERISATION OF RET TYROSINE KINASE SIGNALLING | 0 |
| 4 | 21 | |
| 5 | 54 | |
| 6 | 72 | |
| 7 | 31 | |
| 8 | 21 | |
| 9 | 70 | |
| 10 | 35 | |
| 11 | 86 | |
| 12 | 210 | |
| 13 | 104 | |
| 14 | 161 | |
| 15 | 159 | |
| 16 | RET activation by germline MEN2A and MEN2B mutations. | 107 |
| 17 | The oncogenic versions of the Ret and Trk tyrosine kinases bind Shc and Grb2 adaptor proteins. | 92 |
| 18 | 145 | |
| 19 | 206 |
About Elena Arighi
Elena Arighi is a scholar working on Oncology, Cell Biology and Developmental Neuroscience, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Congenital gastrointestinal and neural anomalies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (515 citations), Oncology (682 citations) and Developmental Neuroscience (88 citations). Elena Arighi has collaborated with scholars based in Italy, Finland and United States. Frequent co-authors include Maria Grazia Borrello, Hannu Sariola, Marco A. Pierotti, Italia Bongarzone, Piera Mondellini, Kari Alitalo, Luisella Alberti, Barbara Pasini, Giovanni Porta and Angela Greco. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and The Journal of Cell Biology.
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.