Lan‐Yan Yang

4.2k citations
170 papers · 2.8k · h-index 29

Impact in

Papers in

Lan‐Yan Yang

152 papers receiving 2.8k citations

Peers

Lan‐Yan Yang
Comparison fields: 5 of 120
  • Obstetrics and Gynecology 404
  • Otorhinolaryngology 183
  • Reproductive Medicine 206
  • Pharmacology 308
  • Microbiology 12
Replace Kenji Ogawa with:
Kenji Ogawa Japan
Kazuo Hatano Japan
Hanlin L. Wang United States
Denis Pezet France
Rhonda K. Yantiss United States
Hemming Poulsen Denmark
Simona Sica Italy
Helmut Ostermann Germany
Thara Somanathan India
Lai‐Meng Looi Malaysia
Lan‐Yan Yang relative to Kenji Ogawa Japan Kenji Ogawa's profile →
Citations per field
00.5×10×13.1×
Kenji Ogawa · 1×
Citations per year

Countries citing papers authored by Lan‐Yan Yang

Since Specialization
Citations

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

Fields of papers citing papers by Lan‐Yan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lan‐Yan Yang. 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 Lan‐Yan Yang. The network helps show where Lan‐Yan Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018180
2 2007126
3 2011116
4 2015105
5 2014103
6 201288
7 200983
8 200772
9 201172
10 199756
11 201655
12 201250
13 200850
14 201549
15 201448
16 201642
17 201641
18 201638
19 201438
20 201637

About Lan‐Yan Yang

Lan‐Yan Yang is a scholar working on Surgery, Obstetrics and Gynecology, Pulmonary and Respiratory Medicine, Epidemiology and Reproductive Medicine, having authored 170 papers that have together received 2.8k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (19 papers), Head and Neck Cancer Studies (14 papers), Ovarian cancer diagnosis and treatment (13 papers), Cervical Cancer and HPV Research (8 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Uterine Myomas and Treatments (7 papers), Statistical Methods in Clinical Trials (7 papers) and Respiratory Support and Mechanisms (5 papers). The work is most often cited by research in Obstetrics and Gynecology (404 citations), Otorhinolaryngology (183 citations), Reproductive Medicine (206 citations), Pharmacology (308 citations) and Microbiology (12 citations). Lan‐Yan Yang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chyong‐Huey Lai, Angel Chao, Tzu‐Chen Yen, Shu‐Hang Ng, Qinglong Guo, Yong Yang, Qidong You, Gigin Lin, Ting‐Chang Chang and Shein‐Chung Chow. Their work appears in journals such as Medicine, European Journal of Nuclear Medicine and Molecular Imaging, Scientific Reports, Gynecologic Oncology and European Radiology.

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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