Sang‐Ah Han

1.3k citations
49 papers · 800 indexed · h-index 15

Impact in

Papers in

    • Cancer Cells and Metastasis 4
    • Cancer-related Molecular Pathways 4
    • Breast Cancer Treatment Studies 5

Sang‐Ah Han

45 papers receiving 789 citations

Peers

Sang‐Ah Han
Comparison fields: 5 of 86
  • Cancer Research 169
  • Complementary and alternative medicine 61
  • Oncology 191
  • Genetics 178
  • Pathology and Forensic Medicine 85
Replace Shi Jin with:
Shi Jin China
Victoria P. Tan Hong Kong
Sònia Servitja Spain
Yayoi Shikama Japan
Jing He United States
Hongliang Rui China
Rong Zheng China
Haijuan Gu China
Sang‐Ah Han relative to Shi Jin China Shi Jin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Sang‐Ah Han

Since Specialization
Citations

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

Fields of papers citing papers by Sang‐Ah Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sang‐Ah Han. 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 Sang‐Ah Han. The network helps show where Sang‐Ah Han may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20230
4 20234
5 202114
6 20215
7 202111
8 202015
9 20207
10 201736
11 201711
12 20164
13 201638
14 20144
15
Bromocriptine-Treated Giant Lactating Adenoma: A Case Report with Imaging Findings.
20131
16 201148
17 201024
18
Estimation of Individualized Probabilities of Developing Breast Cancer for Korean Women
20088
19
국내 인터넷 외과 사이트의 분석
20034
20
소아 간모세포종의 임상적 고찰
20021

About Sang‐Ah Han

Sang‐Ah Han is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Dermatology and Genetics, having authored 49 papers that have together received 800 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (8 papers), Genomic variations and chromosomal abnormalities (5 papers), Breast Cancer Treatment Studies (5 papers), Cancer Cells and Metastasis (4 papers), Cancer-related Molecular Pathways (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Breast Lesions and Carcinomas (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Cancer Research (169 citations), Complementary and alternative medicine (61 citations), Oncology (191 citations), Genetics (178 citations) and Pathology and Forensic Medicine (85 citations). Sang‐Ah Han has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Kyu Yeoun Won, Sung‐Won Kim, Ho‐Chul Park, Jin Hyun Joh, Jeong-Yoon Song, Sung‐Jig Lim, Youn Wha Kim, Jeong Yoon Song, Dong Ki Lee and Gou Young Kim. Their work appears in journals such as Medicine, Clinical Oncology, Journal of Breast Cancer, Frontiers in Microbiology and ULTRASONOGRAPHY.

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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