Kuan‐Ting Kuo

3.9k citations
80 papers · 2.6k · h-index 26

Impact in

Papers in

Kuan‐Ting Kuo

80 papers receiving 2.5k citations

Peers

Kuan‐Ting Kuo
Comparison fields: 5 of 94
  • Reproductive Medicine 644
  • Obstetrics and Gynecology 364
  • Pathology and Forensic Medicine 424
  • Cancer Research 350
  • Oncology 469
Replace Angela Santoro with:
Angela Santoro Italy
Joseph T. Rabban United States
Kosei Hasegawa Japan
Elisabetta Kuhn Italy
Cristina Riva Italy
Phyllis C. Huettner United States
Satoru Sagae Japan
Kristen A. Atkins United States
Debra A. Bell United States
Delia Pérez‐Montiel Mexico
Kuan‐Ting Kuo relative to Angela Santoro Italy Angela Santoro's profile →
Citations per field
00.5×1.5×2.2×
Angela Santoro · 1×
Citations per year

Countries citing papers authored by Kuan‐Ting Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Kuan‐Ting Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuan‐Ting Kuo. 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 Kuan‐Ting Kuo. The network helps show where Kuan‐Ting Kuo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009345
2 2012181
3 2009138
4 2008126
5 2016116
6 2009106
7 2010101
8 200696
9 201075
10 201375
11 201373
12 200871
13 201170
14 201951
15 201150
16 200437
17 201433
18 201231
19 201431
20 201430

About Kuan‐Ting Kuo

Kuan‐Ting Kuo is a scholar working on Molecular Biology, Oncology, Reproductive Medicine, Pathology and Forensic Medicine and Surgery, having authored 80 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (14 papers), Chromatin Remodeling and Cancer (7 papers), Epigenetics and DNA Methylation (6 papers), Sarcoma Diagnosis and Treatment (6 papers), Cervical Cancer and HPV Research (5 papers), Endometrial and Cervical Cancer Treatments (5 papers), Cancer Mechanisms and Therapy (4 papers) and Prenatal Screening and Diagnostics (4 papers). The work is most often cited by research in Reproductive Medicine (644 citations), Obstetrics and Gynecology (364 citations), Pathology and Forensic Medicine (424 citations), Cancer Research (350 citations) and Oncology (469 citations). Kuan‐Ting Kuo has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Ie‐Ming Shih, Tian‐Li Wang, Tsui-Lien Mao, Ming-Chieh Lin, Ching‐Hung Lin, A. Ayhan, Siân Jones, Victor E. Velculescu, Ruth Glas and Robert J. Kurman. Their work appears in journals such as Modern Pathology, Histopathology, Scientific Reports, Human Pathology and The American Journal of Surgical Pathology.

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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