Swei Hsueh

107 papers receiving 4.0k citations

Peers

Swei Hsueh
Comparison fields: 5 of 105
  • Obstetrics and Gynecology 1.5k
  • Reproductive Medicine 553
  • Epidemiology 897
  • Cancer Research 382
  • Radiology, Nuclear Medicine and Imaging 451
Replace Peter Petrow with:
Peter Petrow Germany
Deborah J. Gersell United States
Naveena Singh United Kingdom
Wilfred Levin Canada
Kay J. Park United States
Annette Staebler Germany
Oscar Lin United States
Pavel Dundr Czechia
Sergi Vidal‐Sicart Spain
Angela Santoro Italy
Swei Hsueh relative to Peter Petrow Germany Peter Petrow's profile →
Citations per field
00.5×1.5×2.3×
Peter Petrow · 1×
Citations per year

Countries citing papers authored by Swei Hsueh

Since Specialization
Citations

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

Fields of papers citing papers by Swei Hsueh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Swei Hsueh. 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 Swei Hsueh. The network helps show where Swei Hsueh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004146
2 2003136
3 2002129
4 2003127
5 1999124
6 2003121
7 2007103
8
18F-FDG uptake in squamous cell carcinoma of the cervix is correlated with glucose transporter 1 expression.
2004103
9 200398
10 200584
11 201084
12 200681
13 199781
14
Delayed (18)F-FDG PET for detection of paraaortic lymph node metastases in cervical cancer patients.
200379
15 200478
16 200373
17 200471
18 200369
19 200165
20 200565

About Swei Hsueh

Swei Hsueh is a scholar working on Obstetrics and Gynecology, Epidemiology, Surgery, Reproductive Medicine and Molecular Biology, having authored 108 papers that have together received 4.1k indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (30 papers), Cervical Cancer and HPV Research (23 papers), Ovarian cancer diagnosis and treatment (12 papers), Breast Cancer Treatment Studies (7 papers), Genital Health and Disease (6 papers), Testicular diseases and treatments (5 papers), Viral-associated cancers and disorders (4 papers) and Vascular Tumors and Angiosarcomas (4 papers). The work is most often cited by research in Obstetrics and Gynecology (1.5k citations), Reproductive Medicine (553 citations), Epidemiology (897 citations), Cancer Research (382 citations) and Radiology, Nuclear Medicine and Imaging (451 citations). Swei Hsueh has collaborated with scholars based in Taiwan, United States and Netherlands. Frequent co-authors include Chyong‐Huey Lai, Hung‐Hsueh Chou, Ting‐Chang Chang, Chien-Sheng Tsai, Ji‐Hong Hong, Angel Chao, Koon‐Kwan Ng, Kuan‐Gen Huang, Tzu‐Chen Yen and Lai‐Chu See. Their work appears in journals such as Gynecologic Oncology, Cancer, International Journal of Radiation Oncology*Biology*Physics, European Journal of Nuclear Medicine and Molecular Imaging and International Journal of Cancer.

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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