Sangbin Lim

2.1k citations
32 papers · 1.6k · h-index 18

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • HER2/EGFR in Cancer Research
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Cancer therapeutics and mechanisms 3
    • Colorectal Cancer Treatments and Studies 5
    • Cancer-related Molecular Pathways 2
    • Cancer Immunotherapy and Biomarkers 2

Sangbin Lim

31 papers receiving 1.6k citations

Peers

Sangbin Lim
Comparison fields: 5 of 103
  • Oncology 409
  • Cancer Research 209
  • Immunology 297
  • Biological Psychiatry 24
  • Molecular Biology 712
Replace Hao Yan with:
Hao Yan China
Xiuling Zhi China
Jane L. Roberts United States
Hyo Kyun Chung South Korea
Kelvin K. Tsai Taiwan
Jianjun Zhu China
Samy L. Habib United States
Carlo Vascotto Italy
Xuan Zhao China
Sangbin Lim relative to Hao Yan China Hao Yan's profile →
Citations per field
00.5×1.5×2.2×
Hao Yan · 1×
Citations per year

Countries citing papers authored by Sangbin Lim

Since Specialization
Citations

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

Fields of papers citing papers by Sangbin Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sangbin Lim. 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 Sangbin Lim. The network helps show where Sangbin Lim may publish in the future.

Co-authors

The 25 scholars most cited alongside Sangbin Lim, 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 Sangbin Lim Line = papers co-authored together Sangbin Lim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018343
2 2020204
3 2013170
4 2016133
5 200399
6 201193
7 201783
8 201681
9 201154
10 201146
11 202043
12 201641
13 202038
14 201628
15 201226
16 201521
17 201119
18 200619
19 202315
20 201315

About Sangbin Lim

Sangbin Lim is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Cell Biology, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (11 papers), Colorectal Cancer Treatments and Studies (5 papers), Cancer Genomics and Diagnostics (3 papers), Muscle metabolism and nutrition (3 papers), Cancer therapeutics and mechanisms (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer-related Molecular Pathways (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Oncology (409 citations), Cancer Research (209 citations), Immunology (297 citations), Biological Psychiatry (24 citations) and Molecular Biology (712 citations). Sangbin Lim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Ming Tan, Joshua B. Phillips, Jin Hwan Kim, Anusha Angajala, Clayton Yates, Zongbing You, Sung Soo Kim, Joohun Ha, Sehwan Han and Miran Jang. Their work appears in journals such as Cancer Research, Annals of Oncology, Antioxidants and Redox Signaling, Free Radical Biology and Medicine and Journal of Thoracic 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.

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