Joo-Hang Kim

21.6k citations
150 papers · 11.7k indexed · 2 hit papers · h-index 42
Topics
Lung Cancer Treatments and Mutations (76 papers)Lung Cancer Research Studies (40 papers)Colorectal Cancer Treatments and Studies (29 papers)

In The Last Decade

Joo-Hang Kim

148 papers receiving 11.5k citations

Hit Papers

Pembrolizumab versus docetaxel for previously treated, PD...20152026201820222015201510002.0k3.0k4.0k

Peers

Joo-Hang Kim
Comparison fields: 5 of 129
  • Oncology 8.3k
  • Pulmonary and Respiratory Medicine 6.7k
  • Molecular Biology 3.1k
  • Cancer Research 1.6k
  • Immunology 1.4k
Replace Naiyer A. Rizvi with:
Naiyer A. Rizvi United States
Emiliano Calvo Spain
Joan Albanell Spain
Ho Yeong Lim South Korea
Gabriella Fontanini Italy
Theodore F. Logan United States
Peter Schmid United Kingdom
Jeffrey A. Drebin United States
Jonathan E. Rosenberg United States
Joseph P. Eder United States
Joo-Hang Kim relative to Naiyer A. Rizvi United States Naiyer A. Rizvi's profile →
Citations per field
00.5×1.5×
Naiyer A. Rizvi · 1×
Citations per year

Countries citing papers authored by Joo-Hang Kim

Since Specialization
Citations

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

Fields of papers citing papers by Joo-Hang Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joo-Hang 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 Joo-Hang Kim. The network helps show where Joo-Hang Kim may publish in the future.

Co-authorship network of co-authors of Joo-Hang Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Joo-Hang Kim. A scholar is included among the top collaborators of Joo-Hang 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 Joo-Hang Kim. Joo-Hang 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
#WorkIndexed citations
1 10
2 4
3 31
4 18
5 25
6 23
7 28
8 11
9 7
10 2
11 69
12 81
13 23
14 16
15 26
16
MAGRIT phase III trial in adjuvant NSCLC: MAGE-A3 gene expression frequency on the first 2150 patients screened and demographics of first patients randomized
2
17 54
18 9
19 16
20 28

About Joo-Hang Kim

Joo-Hang Kim is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 150 papers that have together received 11.7k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (76 papers), Lung Cancer Research Studies (40 papers) and Colorectal Cancer Treatments and Studies (29 papers). The work is most often cited by research in Oncology (8.3k citations), Pulmonary and Respiratory Medicine (6.7k citations) and Cancer Research (1.6k citations). Joo-Hang Kim has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Myung‐Ju Ahn, Enriqueta Felip, Dong‐Wan Kim, Ji‐Youn Han, Edward B. Garon, Mary J. Fidler, Gilberto de Castro, Gregory M. Lubiniecki, Roy S. Herbst and Paul Baas. Their work appears in journals such as New England Journal of Medicine, The Lancet and Journal of Biological Chemistry.

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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