Kuan‐Ting Kuo

3.8k citations
82 papers · 3.1k · 1 hit paper · h-index 27

Impact in

Papers in

Kuan‐Ting Kuo

81 papers receiving 3k citations

Kuan‐Ting Kuo's Hit Papers

Frequent Activating Mutations of PIK3CA in Ovarian Clear Cell Carcinoma 2009 · 394 citations
3940+5+11Years since publication100200300

Peers

Kuan‐Ting Kuo
Comparison fields: 5 of 72
  • Reproductive Medicine 718
  • Obstetrics and Gynecology 376
  • Cancer Research 280
  • Hematology 227
  • Otorhinolaryngology 80
Replace Janez Lamovec with:
Janez Lamovec Slovenia
Christian Kainz Austria
Sverre Heim Sweden
Awatif Al-Nafussi United Kingdom
Gen Tamura Japan
Kristen A. Atkins United States
Satoshi Ota Japan
Felix K. F. Kommoss Germany
Yutaka Takazawa Japan
Theodore H. Niemann United States
Kuan‐Ting Kuo relative to Janez Lamovec Slovenia Janez Lamovec's profile →
Citations per field
00.5×2×4×6×7.4×
Janez Lamovec · 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 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Frequent Activating Mutations of PIK3CA in Ovarian Clear Cell Carcinoma
Hit paper breakdown →
2009394
2 2011276
3 2012202
4 2009154
5 2008136
6 2016127
7 2010113
8 2009108
9 2006103
10 201384
11 201383
12 201080
13 201180
14 200872
15 201959
16 201152
17 200443
18 201436
19 201232
20 201332

About Kuan‐Ting Kuo

Kuan‐Ting Kuo is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Cancer Research, Epidemiology and Oncology, having authored 82 papers that have together received 3.1k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (20 papers), Breast Cancer Treatment Studies (8 papers), Endometrial and Cervical Cancer Treatments (7 papers), Cervical Cancer and HPV Research (6 papers), Chromatin Remodeling and Cancer (5 papers), Gestational Trophoblastic Disease Studies (4 papers), Uterine Myomas and Treatments (3 papers) and Glioma Diagnosis and Treatment (3 papers). The work is most often cited by research in Reproductive Medicine (718 citations), Obstetrics and Gynecology (376 citations), Cancer Research (280 citations), Hematology (227 citations) and Otorhinolaryngology (80 citations). Kuan‐Ting Kuo has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Ie‐Ming Shih, Tsui‐Lien Mao, Tian‐Li Wang, Ming-Chieh Lin, Ching‐Hung Lin, A. Ayhan, Victor E. Velculescu, Siân Jones, Ruth Glas and Robert J. Kurman. Their work appears in journals such as Modern Pathology, Scientific Reports, Histopathology, Human Pathology and Journal of Clinical 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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