S.T. Kim

1.2k citations
23 papers · 899 · h-index 12

Impact in

    • Gastric Cancer Management and Outcomes
    • Lung Cancer Treatments and Mutations
    • Brain Metastases and Treatment
  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Colorectal Cancer Treatments and Studies
    • HER2/EGFR in Cancer Research

Papers in

    • Cancer Immunotherapy and Biomarkers 8
    • Colorectal Cancer Treatments and Studies 3
    • HER2/EGFR in Cancer Research 2
    • Gastric Cancer Management and Outcomes 7
    • Lung Cancer Treatments and Mutations 1

S.T. Kim

22 papers receiving 881 citations

Peers

S.T. Kim
Comparison fields: 5 of 46
  • Pulmonary and Respiratory Medicine 464
  • Oncology 267
  • Cancer Research 51
  • Surgery 125
  • Molecular Biology 79
Replace Wanpu Yan with:
Wanpu Yan China
K. Park South Korea
Mariko Ogura Japan
Akira Ema Japan
Sonal Bordia United States
Yu-Hong Li China
Tomoki Taira Japan
Umair Majeed United States
Depei Huang China
Yuansheng Zheng China
S.T. Kim relative to Wanpu Yan China Wanpu Yan's profile →
Citations per field
00.5×1.5×1.9×
Wanpu Yan · 1×
Citations per year

Countries citing papers authored by S.T. Kim

Since Specialization
Citations

This map shows the geographic impact of S.T. 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 S.T. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.T. Kim more than expected).

Fields of papers citing papers by S.T. Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S.T. Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S.T. Kim Line = papers co-authored together S.T. Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020205
2 2020148
3 2021102
4 201898
5 201995
6 202351
7 201947
8 202242
9 202120
10 201415
11 202114
12 202313
13 201012
14 201711
15 20217
16 20105
17 20234
18 20122
19 20222
20 20232

About S.T. Kim

S.T. Kim is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Molecular Biology and Hematology, having authored 23 papers that have together received 899 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (8 papers), Gastric Cancer Management and Outcomes (7 papers), Melanoma and MAPK Pathways (4 papers), Colorectal Cancer Treatments and Studies (3 papers), HER2/EGFR in Cancer Research (2 papers), Lung Cancer Treatments and Mutations (1 paper), Cholangiocarcinoma and Gallbladder Cancer Studies (1 paper) and Anesthesia and Pain Management (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (464 citations), Oncology (267 citations), Cancer Research (51 citations), Surgery (125 citations) and Molecular Biology (79 citations). S.T. Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Byoung Chul Cho, K.H. Lee, Myung‐Ju Ahn, Jin Hyoung Kang, Jong‐Mu Sun, Seo‐Young Park, S.-H. Lee, K. Park, Jin Seok Ahn and Minae An. Their work appears in journals such as Annals of Oncology, ESMO Open, Clinical & Translational Oncology, Clinical Oncology and Transfusion.

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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