Tae Won Kim

17.2k total citations · 3 hit papers
296 papers, 7.5k citations indexed

About

Tae Won Kim is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Tae Won Kim has authored 296 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 226 papers in Oncology, 110 papers in Pulmonary and Respiratory Medicine and 66 papers in Pathology and Forensic Medicine. Recurrent topics in Tae Won Kim's work include Colorectal Cancer Treatments and Studies (170 papers), Gastric Cancer Management and Outcomes (66 papers) and Genetic factors in colorectal cancer (59 papers). Tae Won Kim is often cited by papers focused on Colorectal Cancer Treatments and Studies (170 papers), Gastric Cancer Management and Outcomes (66 papers) and Genetic factors in colorectal cancer (59 papers). Tae Won Kim collaborates with scholars based in South Korea, United States and Japan. Tae Won Kim's co-authors include Yong Sang Hong, Jae‐Lyun Lee, Yoon‐Koo Kang, Min‐Hee Ryu, Chang Sik Yu, Jin Cheon Kim, Heung Moon Chang, Jong Hoon Kim, Takayuki Yoshino and Se Jin Jang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Journal of Clinical Oncology.

In The Last Decade

Tae Won Kim

287 papers receiving 7.4k citations

Hit Papers

Ramucirumab versus placebo in combination with second-lin... 2014 2026 2018 2022 2015 2014 2025 200 400 600

Peers

Tae Won Kim
Comparison fields: 5 of 133
  • Oncology 5.1k
  • Pulmonary and Respiratory Medicine 2.5k
  • Surgery 1.7k
  • Pathology and Forensic Medicine 1.5k
  • Molecular Biology 1.3k
Replace Maria Di Bartolomeo with:
Maria Di Bartolomeo Italy
Joan Maurel Spain
Robert R. McWilliams United States
Young Suk Park South Korea
Fausto Petrelli Italy
Yuxian Bai China
Bruno Landi France
Vladimir Moiseyenko Russia
Marinela Capanu United States
Yoshito Komatsu Japan
Maria Di Bartolomeo Italy View profile →
Citations per field, relative to Tae Won Kim
Tae Won Kim · 1×
Citations per year, relative to Tae Won Kim
Tae Won Kim · 1×

Countries citing papers authored by Tae Won Kim

Since Specialization
Citations

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

Fields of papers citing papers by Tae Won Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tae Won 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 Tae Won Kim. The network helps show where Tae Won Kim may publish in the future.

Co-authorship network of co-authors of Tae Won Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Tae Won Kim. A scholar is included among the top collaborators of Tae Won 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 Tae Won Kim. Tae Won 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
# Work Indexed citations
1 7
2 7
3 29
4 1
5 0
6 12
7 2
8 9
9 6
10 23
11 8
12 41
13 32
14 21
15 6
16 16
17 22
18
EFFECT OF FOOD AND DOSAGE ON CIMICOXIB PHARMACOKINETICS IN DOGS
1
19 120
20 112

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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