Dalia Ercan
Impact in
- Oncology top 1%
- HER2/EGFR in Cancer Research
- Colorectal Cancer Treatments and Studies
- Lung Cancer Research Studies
- Pulmonary and Respiratory Medicine top 0.5%
- Lung Cancer Treatments and Mutations
Papers in
-
- Lung Cancer Treatments and Mutations 16
-
- Cancer therapeutics and mechanisms 8
- Fibroblast Growth Factor Research 2
- Co-authors
- Pasi A. Jänne (18 shared papers)Nathanael S. Gray (10 shared papers)Marzia Capelletti (12 shared papers)Michael J. Eck (3 shared papers)Kwok‐Kin Wong (5 shared papers)Cai‐Hong Yun (2 shared papers)Geoffrey R. Oxnard (3 shared papers)Yanan Kuang (1 shared paper)
- Journals
- Cancer Research (6 papers)Clinical Cancer Research (3 papers)Cancers (1 paper)Molecular Oncology (1 paper)Nature Medicine (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Dalia Ercan
19 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Oncology 2.0k
- Pulmonary and Respiratory Medicine 2.4k
- Cancer Research 766
- Molecular Biology 2.2k
- Organic Chemistry 437
Countries citing papers authored by Dalia Ercan
This map shows the geographic impact of Dalia Ercan'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 Dalia Ercan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dalia Ercan more than expected).
Fields of papers citing papers by Dalia Ercan
This network shows the impact of papers produced by Dalia Ercan. 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 Dalia Ercan. The network helps show where Dalia Ercan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dalia Ercan, 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 | Acquired EGFR C797S mutation mediates resistance to AZD9291 in non–small cell lung cancer harboring EGFR T790M Hit paper breakdown → | 2015 | 1189 |
| 2 | Novel mutant-selective EGFR kinase inhibitors against EGFR T790M Hit paper breakdown → | 2009 | 785 |
| 3 | 2015 | 291 | |
| 4 | 2015 | 252 | |
| 5 | 2010 | 181 | |
| 6 | 2012 | 163 | |
| 7 | 2014 | 162 | |
| 8 | 2015 | 159 | |
| 9 | 2017 | 100 | |
| 10 | 2012 | 88 | |
| 11 | 2014 | 79 | |
| 12 | 2016 | 67 | |
| 13 | 2014 | 52 | |
| 14 | 2010 | 48 | |
| 15 | 2015 | 30 | |
| 16 | 2012 | 5 | |
| 17 | 2012 | 4 | |
| 18 | 2023 | 1 | |
| 19 | 2011 | 1 | |
| 20 | 2025 | 0 |
About Dalia Ercan
Dalia Ercan is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Organic Chemistry and Computational Theory and Mathematics, having authored 20 papers that have together received 3.7k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (16 papers), Cancer therapeutics and mechanisms (8 papers), HER2/EGFR in Cancer Research (5 papers), Quinazolinone synthesis and applications (3 papers), Lung Cancer Research Studies (3 papers), Cancer Genomics and Diagnostics (2 papers), Computational Drug Discovery Methods (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Oncology (2.0k citations), Pulmonary and Respiratory Medicine (2.4k citations), Cancer Research (766 citations), Molecular Biology (2.2k citations) and Organic Chemistry (437 citations). Dalia Ercan has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Pasi A. Jänne, Nathanael S. Gray, Marzia Capelletti, Michael J. Eck, Kwok‐Kin Wong, Cai‐Hong Yun, Geoffrey R. Oxnard, Yanan Kuang, Mireille Cantarini and J. Carl Barrett. Their work appears in journals such as Cancer Research, Clinical Cancer Research, Cancers, Molecular Oncology and Nature 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.