Elton Rexhepaj
- Oncology top 2%
- Molecular Biology top 10%
- Immunology top 2%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- William M. GallagherDonal J. BrennanKarin JirströmStephen F. MaddenLisa M. CoussensDavid G. DeNardoBrian RuffellE. Shelley Hwang
- Topics
- Cell Image Analysis Techniques (12 papers)HER2/EGFR in Cancer Research (5 papers)Gene expression and cancer classification (5 papers)
- Cited by
- ImmunologyOncologyBiophysics
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsJournal of Clinical Oncology
- Partner nations
- IrelandSwedenUnited States
In The Last Decade
Elton Rexhepaj
33 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Oncology 1.3k
- Molecular Biology 1.2k
- Immunology 1.2k
- Cancer Research 474
- Pulmonary and Respiratory Medicine 244
Countries citing papers authored by Elton Rexhepaj
This map shows the geographic impact of Elton Rexhepaj'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 Elton Rexhepaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elton Rexhepaj more than expected).
Fields of papers citing papers by Elton Rexhepaj
This network shows the impact of papers produced by Elton Rexhepaj. 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 Elton Rexhepaj. The network helps show where Elton Rexhepaj may publish in the future.
Co-authorship network of co-authors of Elton Rexhepaj
This figure shows the co-authorship network connecting the top 25 collaborators of Elton Rexhepaj. A scholar is included among the top collaborators of Elton Rexhepaj 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 Elton Rexhepaj. Elton Rexhepaj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | Tumour islet Foxp3+ T-cell infiltration predicts poor outcome in nonsmall cell lung cancer | 3 |
| 3 | 55 | |
| 4 | 43 | |
| 5 | 201 | |
| 6 | 18 | |
| 7 | Leukocyte Complexity Predicts Breast Cancer Survival and Functionally Regulates Response to Chemotherapybreakdown → | 1320 |
| 8 | 313 | |
| 9 | 9 | |
| 10 | 46 | |
| 11 | 29 | |
| 12 | 10 | |
| 13 | 24 | |
| 14 | 26 | |
| 15 | 38 | |
| 16 | 6 | |
| 17 | 71 | |
| 18 | 98 | |
| 19 | 106 | |
| 20 | 55 |
About Elton Rexhepaj
Elton Rexhepaj is a scholar working on Biophysics, Structural Biology and Oncology, having authored 35 papers that have together received 2.9k indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (12 papers), HER2/EGFR in Cancer Research (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Immunology (1.2k citations), Oncology (1.3k citations) and Biophysics (219 citations). Elton Rexhepaj has collaborated with scholars based in Ireland, Sweden and United States. Frequent co-authors include William M. Gallagher, Donal J. Brennan, Karin Jirström, Stephen F. Madden, Lisa M. Coussens, David G. DeNardo, Brian Ruffell, E. Shelley Hwang, Brian L. West and Hope S. Rugo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.
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.