Yanghee Woo

4.3k citations
131 papers · 2.8k · h-index 32

Impact in

    • Gastrointestinal Tumor Research and Treatment
  • Oncology top 5%
    • Pancreatic and Hepatic Oncology Research
    • CAR-T cell therapy research

Papers in

Yanghee Woo

119 papers receiving 2.8k citations

Peers

Yanghee Woo
Comparison fields: 5 of 103
  • Gastroenterology 237
  • Oncology 795
  • Pulmonary and Respiratory Medicine 886
  • Biotechnology 183
  • Genetics 507
Replace Michel Barrois with:
Michel Barrois France
Carol Beadling United States
P. M. Schlag Germany
M Boiocchi Italy
Takehide Asano Japan
Neal J. Meropol United States
Bernardo Ruiz United States
Lee D. Cranmer United States
Shih–Fan Kuan United States
Jennifer Gansert United States
Yanghee Woo relative to Michel Barrois France Michel Barrois's profile →
Citations per field
00.5×10×12.9×
Michel Barrois · 1×
Citations per year

Countries citing papers authored by Yanghee Woo

Since Specialization
Citations

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

Fields of papers citing papers by Yanghee Woo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020174
2 2011162
3 2017154
4 201596
5 200994
6 201390
7 201676
8 201774
9 201365
10 200861
11 201857
12 201852
13 201852
14 201647
15 201846
16 200844
17 200744
18 202143
19 201842
20 201140

About Yanghee Woo

Yanghee Woo is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Surgery, Genetics and Biotechnology, having authored 131 papers that have together received 2.8k indexed citations. Recurring topics across this work include Gastric Cancer Management and Outcomes (32 papers), Virus-based gene therapy research (23 papers), CAR-T cell therapy research (16 papers), Pancreatic and Hepatic Oncology Research (12 papers), Cancer Research and Treatments (10 papers), Gastrointestinal Tumor Research and Treatment (8 papers), Intraperitoneal and Appendiceal Malignancies (7 papers) and Hepatocellular Carcinoma Treatment and Prognosis (6 papers). The work is most often cited by research in Gastroenterology (237 citations), Oncology (795 citations), Pulmonary and Respiratory Medicine (886 citations), Biotechnology (183 citations) and Genetics (507 citations). Yanghee Woo has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Yuman Fong, Susanne G. Warner, Woo Jin Hyung, Laleh G. Melstrom, Sung Hoon Noh, Nanhai G. Chen, Shyambabu Chaurasiya, Hyoung‐Il Kim, Gagandeep Singh and Taeil Son. Their work appears in journals such as Annals of Surgical Oncology, Journal of Clinical Oncology, Journal of the American College of Surgeons, Molecular Therapy — Oncolytics and Journal of Surgical Oncology.

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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