Ying-Yi Li

805 citations
30 papers · 624 · h-index 13

Impact in

Papers in

Ying-Yi Li

28 papers receiving 615 citations

Peers

Ying-Yi Li
Comparison fields: 5 of 80
  • Cancer Research 173
  • Pathology and Forensic Medicine 190
  • Oncology 263
  • Molecular Biology 344
  • Immunology and Allergy 27
Replace Rajesh Patel with:
Rajesh Patel United States
Andrew Capen United States
Joji Nakayama Japan
Ulrike Sack Germany
Benoît Thibault France
Atsushi Miwa Japan
Qichao Ni China
Young‐Kyoung Shin South Korea
Gabriëla Wright United States
Víctor J. Sánchez‐Arévalo Lobo Spain
Ying-Yi Li relative to Rajesh Patel United States Rajesh Patel's profile →
Citations per field
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Rajesh Patel · 1×
Citations per year

Countries citing papers authored by Ying-Yi Li

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Yi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying-Yi Li. 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 Ying-Yi Li. The network helps show where Ying-Yi Li may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006141
2 201589
3 200488
4 201541
5 201839
6 201533
7 202227
8 201625
9 201422
10 202116
11 202114
12 201313
13 202112
14 202210
15 20249
16 20137
17
[The anti-portal hypertension effect of oleanolic acid in CCl4-induced cirrhosis rats].
20127
18 20235
19 20245
20 20244

About Ying-Yi Li

Ying-Yi Li is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Cancer Research and Epidemiology, having authored 30 papers that have together received 624 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (6 papers), Hepatitis B Virus Studies (4 papers), Peptidase Inhibition and Analysis (3 papers), Epigenetics and DNA Methylation (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Cell Adhesion Molecules Research (2 papers), Protein purification and stability (2 papers) and Retinal Diseases and Treatments (2 papers). The work is most often cited by research in Cancer Research (173 citations), Pathology and Forensic Medicine (190 citations), Oncology (263 citations), Molecular Biology (344 citations) and Immunology and Allergy (27 citations). Ying-Yi Li has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Chen Liang, Chifumi Fujii, Yuichiro Nagai, Hiroshi Ishikura, Naofumi Mukaida, Boryana Konstantinova Popivanova, Takanori Aoki, Munirah Ahmad, Hiroshi Sato and Takahisa Takino. Their work appears in journals such as International Journal of Molecular Sciences, Cancer Research, Viruses, The AAPS Journal and Journal of Pharmaceutical Sciences.

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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