S-A. Im

1.9k citations
86 papers · 1.2k · h-index 18

Impact in

  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Treatment and Pharmacology
    • Breast Cancer Treatment Studies

Papers in

    • Cancer Treatment and Pharmacology 39
    • HER2/EGFR in Cancer Research 38
    • Cancer Immunotherapy and Biomarkers 13
    • PARP inhibition in cancer therapy 10
    • Advanced Breast Cancer Therapies 51
    • Brain Metastases and Treatment 5

S-A. Im

78 papers receiving 1.2k citations

Peers

S-A. Im
Comparison fields: 5 of 58
  • Oncology 696
  • Cancer Research 211
  • Pulmonary and Respiratory Medicine 402
  • Gastroenterology 34
  • Genetics 67
Replace Zanete Zvirbule with:
Zanete Zvirbule Latvia
Cinta Hierro Spain
N. Al-Sakaff Switzerland
Tae-You Kim South Korea
M. Beeram United States
Kaori Fujimoto-Ouchi United States
Lorenzo D’Ambrosio Italy
Georgy M. Manikhas Russia
Henry Xiong United States
Yu-Nien Sun United States
S-A. Im relative to Zanete Zvirbule Latvia Zanete Zvirbule's profile →
Citations per field
00.5×1.5×1.9×
Zanete Zvirbule · 1×
Citations per year

Countries citing papers authored by S-A. Im

Since Specialization
Citations

This map shows the geographic impact of S-A. 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-A. 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-A. Im more than expected).

Fields of papers citing papers by S-A. Im

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014158
2 2014116
3 2013101
4 201680
5 202177
6 202061
7 201940
8 200138
9 202137
10 201433
11 202330
12 202329
13 202329
14 201627
15 202324
16 201822
17 200820
18 201817
19 202417
20 201916

About S-A. Im

S-A. Im is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 86 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (51 papers), Cancer Treatment and Pharmacology (39 papers), HER2/EGFR in Cancer Research (38 papers), Breast Cancer Treatment Studies (18 papers), Cancer Immunotherapy and Biomarkers (13 papers), PARP inhibition in cancer therapy (10 papers), BRCA gene mutations in cancer (5 papers) and Brain Metastases and Treatment (5 papers). The work is most often cited by research in Oncology (696 citations), Cancer Research (211 citations), Pulmonary and Respiratory Medicine (402 citations), Gastroenterology (34 citations) and Genetics (67 citations). S-A. Im has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Y-J. Bang, S-B. Kim, Ping Zhan, Danhong Shen, Heike I. Grabsch, Elaine Kilgour, Paul R. Gavine, Javier Cortés, Shethah Morgan and Chris Womack. Their work appears in journals such as Annals of Oncology, Cancer Research, ESMO Open, British Journal of Cancer and Oncogene.

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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