Gabriela Alexe
- Molecular Biology top 5%
- Oncology top 2%
- Cancer Research top 2%
- Immunology top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Jill P. MesirovGyan BhanotPeter L. HammerKimberly StegmaierDebabrata BanerjeeJohn GlodPravin J. MishraPrasun Mishra
- Topics
- Gene expression and cancer classification (14 papers)Protein Degradation and Inhibitors (14 papers)Acute Myeloid Leukemia Research (12 papers)
- Cited by
- Cancer ResearchOncologyGenetics
- Journals
- Journal of the American Chemical SocietyJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Gabriela Alexe
77 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Molecular Biology 2.2k
- Oncology 1.2k
- Cancer Research 924
- Immunology 485
- Pulmonary and Respiratory Medicine 432
Countries citing papers authored by Gabriela Alexe
This map shows the geographic impact of Gabriela Alexe'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 Gabriela Alexe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriela Alexe more than expected).
Fields of papers citing papers by Gabriela Alexe
This network shows the impact of papers produced by Gabriela Alexe. 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 Gabriela Alexe. The network helps show where Gabriela Alexe may publish in the future.
Co-authorship network of co-authors of Gabriela Alexe
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriela Alexe. A scholar is included among the top collaborators of Gabriela Alexe 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 Gabriela Alexe. Gabriela Alexe is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 9 | |
| 7 | 12 | |
| 8 | 26 | |
| 9 | 46 | |
| 10 | 62 | |
| 11 | 81 | |
| 12 | New Tools for Spatial Intelligence Education: the X-Colony Knowledge Discovery Kit | 0 |
| 13 | Targeting MYCN in Neuroblastoma by BET Bromodomain Inhibitionbreakdown → | 457 |
| 14 | 85 | |
| 15 | 205 | |
| 16 | 24 | |
| 17 | Carcinoma-Associated Fibroblast–Like Differentiation of Human Mesenchymal Stem Cellsbreakdown → | 733 |
| 18 | 166 | |
| 19 | DUAL METHODS FOR THE NUMERICAL SOLUTION OF THE UNIVARIATE POWER MOMENT PROBLEM | 2 |
| 20 | 12 |
About Gabriela Alexe
Gabriela Alexe is a scholar working on Hematology, Molecular Biology and Cancer Research, having authored 82 papers that have together received 3.9k indexed citations. Recurring topics across this work include Gene expression and cancer classification (14 papers), Protein Degradation and Inhibitors (14 papers) and Acute Myeloid Leukemia Research (12 papers). The work is most often cited by research in Cancer Research (924 citations), Oncology (1.2k citations) and Genetics (427 citations). Gabriela Alexe has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Jill P. Mesirov, Gyan Bhanot, Peter L. Hammer, Kimberly Stegmaier, Debabrata Banerjee, John Glod, Pravin J. Mishra, Prasun Mishra, Daniel Medina and Rita Humeniuk. Their work appears in journals such as Journal of the American Chemical Society, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.