S. Im

433 citations
10 papers · 308 · h-index 6

Impact in

    • Cancer Immunotherapy and Biomarkers
    • Cancer Treatment and Pharmacology
    • HER2/EGFR in Cancer Research
    • CAR-T cell therapy research
    • Advanced Breast Cancer Therapies
    • Gastric Cancer Management and Outcomes

Papers in

    • HER2/EGFR in Cancer Research 3
    • Lung Cancer Research Studies 2
    • Cancer Treatment and Pharmacology 2
    • Cancer Immunotherapy and Biomarkers 2
    • Advanced Breast Cancer Therapies 3

S. Im

9 papers receiving 296 citations

Peers

S. Im
Comparison fields: 5 of 42
  • Oncology 153
  • Pulmonary and Respiratory Medicine 77
  • Cancer Research 30
  • Public Health, Environmental and Occupational Health 57
  • Immunology 42
Replace John WS Devar with:
John WS Devar South Africa
Noushin Taghavi Iran
C. McClung United States
Marianne Weires Germany
Serena Maria Boccia Italy
Tieng Swee Tang Malaysia
Shuai Xu United States
Héctor G. van den Boorn Netherlands
Mei‐Tzu C. Tang United States
Nina Ewald-Riegler Germany
S. Im relative to John WS Devar South Africa John WS Devar's profile →
Citations per field
00.5×2×4×6×8×
John WS Devar · 1×
Citations per year

Countries citing papers authored by S. Im

Since Specialization
Citations

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

Fields of papers citing papers by S. Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2019108
2 200888
3 202440
4 200328
5 200828
6 20157
7 20246
8 20182
9 20181
10 20250

About S. Im

S. Im is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Cancer Research and Rheumatology, having authored 10 papers that have together received 308 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (3 papers), HER2/EGFR in Cancer Research (3 papers), Lung Cancer Research Studies (2 papers), Cancer Treatment and Pharmacology (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Moyamoya disease diagnosis and treatment (1 paper), Genetic Syndromes and Imprinting (1 paper) and Intracranial Aneurysms: Treatment and Complications (1 paper). The work is most often cited by research in Oncology (153 citations), Pulmonary and Respiratory Medicine (77 citations), Cancer Research (30 citations), Public Health, Environmental and Occupational Health (57 citations) and Immunology (42 citations). S. Im has collaborated with scholars based in South Korea, Italy and Japan. Frequent co-authors include D. S. Heo, Bhumsuk Keam, Yung‐Jue Bang, Tae‐Yop Kim, Djin‐Ye Oh, Dong-Wook Kim, Se‐Hoon Lee, Jang-Heub Kim, Peter Schmid and Keita Tamura. Their work appears in journals such as European Journal of Cancer, Japanese Journal of Clinical Oncology, Annals of Oncology, Neurosurgical Review and Reproduction.

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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