Ji‐Youn Han
- Oncology top 0.1%
- Pulmonary and Respiratory Medicine top 0.1%
- Molecular Biology top 2%
- Cancer Research top 0.5%
- Immunology top 2%
- Co-authors
- Myung‐Ju AhnMargarita MajemDong‐Wan KimEdward B. GaronRoy S. HerbstPaul BaasJosé Luis Perez‐GraciaJoo-Hang Kim
- Topics
- Lung Cancer Treatments and Mutations (182 papers)Lung Cancer Research Studies (75 papers)Lung Cancer Diagnosis and Treatment (56 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Ji‐Youn Han
248 papers receiving 13.0k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Oncology 9.6k
- Pulmonary and Respiratory Medicine 8.2k
- Molecular Biology 3.1k
- Cancer Research 2.1k
- Immunology 1.3k
Countries citing papers authored by Ji‐Youn Han
This map shows the geographic impact of Ji‐Youn Han'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 Ji‐Youn Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji‐Youn Han more than expected).
Fields of papers citing papers by Ji‐Youn Han
This network shows the impact of papers produced by Ji‐Youn Han. 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 Ji‐Youn Han. The network helps show where Ji‐Youn Han may publish in the future.
Co-authorship network of co-authors of Ji‐Youn Han
This figure shows the co-authorship network connecting the top 25 collaborators of Ji‐Youn Han. A scholar is included among the top collaborators of Ji‐Youn Han 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 Ji‐Youn Han. Ji‐Youn Han 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 | 2 | |
| 3 | 22 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 16 | |
| 12 | Osimertinib + Savolitinib to Overcome Acquired MET-Mediated Resistance in Epidermal Growth Factor Receptor–Mutated, MET -Amplified Non–Small Cell Lung Cancer: TATTONbreakdown → | 95 |
| 13 | 3 | |
| 14 | 3 | |
| 15 | Capmatinib in patients with high-level MET-amplified advanced non-small cell lung cancer (NSCLC): results from the phase 2 GEOMETRY mono-1 study | 8 |
| 16 | 13 | |
| 17 | 27 | |
| 18 | 24 | |
| 19 | CNS Efficacy of Osimertinib in Patients With T790M-Positive Advanced Non–Small-Cell Lung Cancer: Data From a Randomized Phase III Trial (AURA3)breakdown → | 349 |
| 20 | 64 |
About Ji‐Youn Han
Ji‐Youn Han is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 257 papers that have together received 13.1k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (182 papers), Lung Cancer Research Studies (75 papers) and Lung Cancer Diagnosis and Treatment (56 papers). The work is most often cited by research in Oncology (9.6k citations), Pulmonary and Respiratory Medicine (8.2k citations) and Cancer Research (2.1k citations). Ji‐Youn Han has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Myung‐Ju Ahn, Margarita Majem, Dong‐Wan Kim, Edward B. Garon, Roy S. Herbst, Paul Baas, José Luis Perez‐Gracia, Joo-Hang Kim, Gregory M. Lubiniecki and Enriqueta Felip. Their work appears in journals such as The Lancet, 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.