Keng‐Fu Hsu

3.7k citations
102 papers · 3.0k · h-index 29

Impact in

Papers in

Keng‐Fu Hsu

98 papers receiving 2.9k citations

Peers

Keng‐Fu Hsu
Comparison fields: 5 of 126
  • Immunology 916
  • Obstetrics and Gynecology 271
  • Reproductive Medicine 182
  • Cancer Research 319
  • Epidemiology 725
Replace Cécile Le Page with:
Cécile Le Page Canada
Liping Wang China
Yong Zheng China
Carlos Pérez‐Plasencia Mexico
El–Nasir Lalani United Kingdom
Salvatore Venuta Italy
Ulrike Kämmerer Germany
Fang Guo China
Hong Yu China
Ayesha B. Alvero United States
Keng‐Fu Hsu relative to Cécile Le Page Canada Cécile Le Page's profile →
Citations per field
00.5×2.7×
Cécile Le Page · 1×
Citations per year

Countries citing papers authored by Keng‐Fu Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Keng‐Fu Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Keng‐Fu Hsu. 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 Keng‐Fu Hsu. The network helps show where Keng‐Fu Hsu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001219
2 2001215
3 2009136
4 2001118
5 2014116
6 1997110
7 2009107
8 200299
9 199795
10
Enhancement of DNA vaccine potency by linkage of antigen gene to a gene encoding the extracellular domain of Fms-like tyrosine kinase 3-ligand.
200186
11 201182
12 200778
13 200175
14 200671
15 201470
16 200169
17 200160
18 200153
19 200951
20 200351

About Keng‐Fu Hsu

Keng‐Fu Hsu is a scholar working on Molecular Biology, Obstetrics and Gynecology, Cancer Research, Immunology and Oncology, having authored 102 papers that have together received 3.0k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), Endometrial and Cervical Cancer Treatments (11 papers), Advanced biosensing and bioanalysis techniques (10 papers), Ovarian cancer diagnosis and treatment (10 papers), Microfluidic and Bio-sensing Technologies (10 papers), Cancer Genomics and Diagnostics (9 papers), Cervical Cancer and HPV Research (9 papers) and Uterine Myomas and Treatments (7 papers). The work is most often cited by research in Immunology (916 citations), Obstetrics and Gynecology (271 citations), Reproductive Medicine (182 citations), Cancer Research (319 citations) and Epidemiology (725 citations). Keng‐Fu Hsu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Wen‐Fang Cheng, Morris Ling, Chien‐Fu Hung, T.‐C. Wu, Chee‐Yin Chai, Liangmei He, Cheng-Yang Chou, Meng‐Ru Shen, Gwo‐Bin Lee and Soon-Cen Huang. Their work appears in journals such as Lab on a Chip, Journal of Biomedical Science, Journal of Clinical Investigation, Gynecologic Oncology and Ultrasound in Obstetrics and Gynecology.

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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