Dong‐Wan Kim

28.0k total citations · 6 hit papers
130 papers, 10.4k citations indexed

About

Dong‐Wan Kim is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Dong‐Wan Kim has authored 130 papers receiving a total of 10.4k indexed citations (citations by other indexed papers that have themselves been cited), including 98 papers in Oncology, 92 papers in Pulmonary and Respiratory Medicine and 19 papers in Molecular Biology. Recurrent topics in Dong‐Wan Kim's work include Lung Cancer Treatments and Mutations (82 papers), Lung Cancer Research Studies (47 papers) and Colorectal Cancer Treatments and Studies (31 papers). Dong‐Wan Kim is often cited by papers focused on Lung Cancer Treatments and Mutations (82 papers), Lung Cancer Research Studies (47 papers) and Colorectal Cancer Treatments and Studies (31 papers). Dong‐Wan Kim collaborates with scholars based in South Korea, United States and Taiwan. Dong‐Wan Kim's co-authors include Enriqueta Felip, Tarek Mekhail, Tony Mok, Tae Min Kim, Yi‐Long Wu, Benjamin Solomon, Keith D. Wilner, Fiona Blackhall, James Chih‐Hsin Yang and Kazuhiko Nakagawa and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Applied Physics Letters.

In The Last Decade

Dong‐Wan Kim

126 papers receiving 10.2k citations

Hit Papers

First-Line Crizotinib versus Chemotherapy in ALK-Positive... 2014 2026 2018 2022 2014 2015 2015 2017 2018 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dong‐Wan Kim South Korea 45 7.5k 6.9k 2.5k 1.8k 847 130 10.4k
Paul Baas Netherlands 58 11.6k 1.5× 8.5k 1.2× 1.8k 0.7× 1.4k 0.8× 541 0.6× 309 17.0k
Suzanne George United States 55 6.8k 0.9× 3.7k 0.5× 1.8k 0.7× 978 0.6× 1.2k 1.4× 257 11.7k
G. Thomas Budd United States 37 2.7k 0.4× 6.8k 1.0× 2.3k 0.9× 4.1k 2.3× 630 0.7× 174 9.9k
George R. Blumenschein United States 60 5.1k 0.7× 7.0k 1.0× 2.7k 1.1× 2.4k 1.4× 1.4k 1.6× 328 12.0k
Shahneen Sandhu Australia 46 5.9k 0.8× 6.0k 0.9× 3.2k 1.3× 2.1k 1.2× 503 0.6× 289 11.0k
Scott Gettinger United States 58 6.8k 0.9× 10.3k 1.5× 2.8k 1.1× 1.7k 1.0× 651 0.8× 258 13.2k
Beow Y. Yeap United States 68 10.3k 1.4× 7.1k 1.0× 3.1k 1.2× 2.2k 1.2× 1.1k 1.3× 206 14.4k
Joyce O’Shaughnessy United States 40 2.8k 0.4× 7.0k 1.0× 2.1k 0.9× 3.1k 1.7× 433 0.5× 240 9.6k
Joohyuk Sohn South Korea 44 5.6k 0.7× 7.9k 1.2× 1.8k 0.7× 3.3k 1.8× 609 0.7× 303 10.9k
Sanjay Popat United Kingdom 42 8.3k 1.1× 8.1k 1.2× 2.8k 1.1× 2.6k 1.5× 2.1k 2.4× 372 13.5k

Countries citing papers authored by Dong‐Wan Kim

Since Specialization
Citations

This map shows the geographic impact of Dong‐Wan Kim'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 Dong‐Wan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong‐Wan Kim more than expected).

Fields of papers citing papers by Dong‐Wan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong‐Wan Kim. 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 Dong‐Wan Kim. The network helps show where Dong‐Wan Kim may publish in the future.

Co-authorship network of co-authors of Dong‐Wan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Wan Kim. A scholar is included among the top collaborators of Dong‐Wan Kim 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 Dong‐Wan Kim. Dong‐Wan Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kim, Soo-Min, Jaemoon Koh, Tae Min Kim, et al.. (2025). Remodeling of tumor microenvironments by EGFR tyrosine kinase inhibitors in EGFR-mutant non-small cell lung cancer. iScience. 28(2). 111736–111736. 3 indexed citations
2.
Cho, Byoung Chul, Ji‐Youn Han, Ki Hyeong Lee, et al.. (2024). Lazertinib as a frontline treatment in patients with EGFR-mutated advanced non-small cell lung cancer: Long-term follow-up results from LASER201. Lung Cancer. 190. 107509–107509. 4 indexed citations
4.
Huber, Rudolf M., Karin Holmskov Hansen, Luis Paz-Ares Rodríguez, et al.. (2019). Brigatinib in Crizotinib-Refractory ALK+ NSCLC: 2-Year Follow-up on Systemic and Intracranial Outcomes in the Phase 2 ALTA Trial. Journal of Thoracic Oncology. 15(3). 404–415. 101 indexed citations
5.
Yang, James Chih‐Hsin, Frances A. Shepherd, Dong‐Wan Kim, et al.. (2019). Osimertinib Plus Durvalumab versus Osimertinib Monotherapy in EGFR T790M–Positive NSCLC following Previous EGFR TKI Therapy: CAURAL Brief Report. Journal of Thoracic Oncology. 14(5). 933–939. 164 indexed citations
6.
Remón, Jordi, Myung‐Ju Ahn, Nicolas Girard, et al.. (2019). Advanced-Stage Non–Small Cell Lung Cancer: Advances in Thoracic Oncology 2018. Journal of Thoracic Oncology. 14(7). 1134–1155. 60 indexed citations
7.
Schüler, Martin, Eng-Huat Tan, Kenneth J. O’Byrne, et al.. (2019). First-line afatinib vs gefitinib for patients with EGFR mutation-positive NSCLC (LUX-Lung 7): impact of afatinib dose adjustment and analysis of mode of initial progression for patients who continued treatment beyond progression. Journal of Cancer Research and Clinical Oncology. 145(6). 1569–1579. 31 indexed citations
9.
Keam, Bhumsuk, Chan-Young Ock, Miso Kim, et al.. (2019). A phase II study of pembrolizumab and paclitaxel in patients with relapsed or refractory small-cell lung cancer. Lung Cancer. 136. 122–128. 44 indexed citations
10.
Solomon, Benjamin, Dong‐Wan Kim, Yi‐Long Wu, et al.. (2018). Final Overall Survival Analysis From a Study Comparing First-Line Crizotinib Versus Chemotherapy in ALK-Mutation-Positive Non–Small-Cell Lung Cancer. Journal of Clinical Oncology. 36(22). 2251–2258. 285 indexed citations breakdown →
13.
Kim, Tae Min, Dong‐Wan Kim, Soyeon Kim, et al.. (2015). Molecular Changes Associated with Acquired Resistance to Crizotinib in ROS1 -Rearranged Non–Small Cell Lung Cancer. Clinical Cancer Research. 21(10). 2379–2387. 99 indexed citations
14.
Ou, Sai‐Hong Ignatius, Jin Seok Ahn, Luigi De Petris, et al.. (2015). Alectinib in Crizotinib-Refractory ALK-Rearranged Non–Small-Cell Lung Cancer: A Phase II Global Study. Journal of Clinical Oncology. 34(7). 661–668. 430 indexed citations breakdown →
16.
Solomon, Benjamin, Tony Mok, Dong‐Wan Kim, et al.. (2014). First-Line Crizotinib versus Chemotherapy in ALK-Positive Lung Cancer. New England Journal of Medicine. 371(23). 2167–2177. 2327 indexed citations breakdown →
17.
Go, Se‐Il, Bhumsuk Keam, Tae Min Kim, et al.. (2013). Clinical Significance of Downstaging in Patients With Limited-Disease Small-Cell Lung Cancer. Clinical Lung Cancer. 15(2). e1–e6. 2 indexed citations
18.
Kim, Tae Min, Ki Hwan Kim, Min Joung Lee, et al.. (2010). First‐line therapy with doxycycline in ocular adnexal mucosa‐associated lymphoid tissue lymphoma: A retrospective analysis of clinical predictors. Cancer Science. 101(5). 1199–1203. 38 indexed citations
20.
Oh, Dong Yoon, et al.. (2006). Antibiotic use during the last days of life in cancer patients. European Journal of Cancer Care. 15(1). 74–79. 62 indexed citations

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.

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