Jin‐Hee Ahn

3.9k citations
143 papers · 3k · h-index 31

Impact in

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

Papers in

    • Breast Cancer Treatment Studies 42
    • HER2/EGFR in Cancer Research 19
    • Cancer Treatment and Pharmacology 8

Jin‐Hee Ahn

135 papers receiving 3k citations

Peers

Jin‐Hee Ahn
Comparison fields: 5 of 98
  • Cancer Research 566
  • Oncology 857
  • Pulmonary and Respiratory Medicine 755
  • Radiology, Nuclear Medicine and Imaging 260
  • Immunology 181
Replace Bo Dai with:
Bo Dai China
Stelios Kakolyris Greece
Luigi Pirtoli Italy
John C. Araujo United States
Irene Kuter United States
Jianxin Xue China
Cristiano Ferrario Canada
Sonja Klebe Australia
Jinming Yu China
Takafumi Sangai Japan
Jin‐Hee Ahn relative to Bo Dai China Bo Dai's profile →
Citations per field
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Bo Dai · 1×
Citations per year

Countries citing papers authored by Jin‐Hee Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Hee Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Hee Ahn. 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 Jin‐Hee Ahn. The network helps show where Jin‐Hee Ahn may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 143 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007132
2 2013115
3 2015112
4 2021105
5 201994
6 200787
7 201287
8 201885
9 200276
10 201665
11 201064
12 201460
13 201560
14 201259
15 201158
16 201858
17 201456
18 201556
19 202255
20 200450

About Jin‐Hee Ahn

Jin‐Hee Ahn is a scholar working on Cancer Research, Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 143 papers that have together received 3k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (42 papers), HER2/EGFR in Cancer Research (19 papers), Renal cell carcinoma treatment (12 papers), Sarcoma Diagnosis and Treatment (11 papers), Cancer Treatment and Pharmacology (8 papers), Advanced Breast Cancer Therapies (7 papers), Medical Imaging Techniques and Applications (5 papers) and Biosimilars and Bioanalytical Methods (4 papers). The work is most often cited by research in Cancer Research (566 citations), Oncology (857 citations), Pulmonary and Respiratory Medicine (755 citations), Radiology, Nuclear Medicine and Imaging (260 citations) and Immunology (181 citations). Jin‐Hee Ahn has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Gyungyub Gong, Hee Jin Lee, Sung‐Bae Kim, Kyung Hae Jung, Woo Kun Kim, In Hye Song, In Ah Park, Hanjong Ahn, Jong Han Yu and Jun Hyuk Hong. Their work appears in journals such as Cancer Research and Treatment, Breast Cancer Research and Treatment, European Journal of Cancer, Annals of Oncology and Cancer Chemotherapy and Pharmacology.

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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