Ying-Yi Li

836 citations
31 papers · 635 · h-index 13

Impact in

Papers in

Ying-Yi Li

28 papers receiving 626 citations

Peers

Ying-Yi Li
Comparison fields: 5 of 76
  • Pathology and Forensic Medicine 185
  • Cancer Research 150
  • Oncology 229
  • Molecular Biology 317
  • Immunology and Allergy 26
Replace Kaja C. G. Berg with:
Kaja C. G. Berg Norway
Andrew Capen United States
Ulrike Sack Germany
Rajesh Patel United States
Georg Emons Germany
Benoît Thibault France
Atsushi Miwa Japan
Qichao Ni China
Junhye Kwon South Korea
Gabriëla Wright United States
Ying-Yi Li relative to Kaja C. G. Berg Norway Kaja C. G. Berg's profile →
Citations per field
00.5×4.1×
Kaja C. G. Berg · 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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006141
2 201591
3 200488
4 201541
5 201838
6 201533
7 202228
8 201626
9 201424
10 202117
11 202115
12 201313
13 202112
14 202211
15 202410
16 20137
17
[The anti-portal hypertension effect of oleanolic acid in CCl4-induced cirrhosis rats].
20127
18 20235
19 20245
20 20245

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 31 papers that have together received 635 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (6 papers), Hepatitis B Virus Studies (4 papers), Epigenetics and DNA Methylation (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Protein purification and stability (2 papers), Peptidase Inhibition and Analysis (2 papers) and TGF-β signaling in diseases (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (185 citations), Cancer Research (150 citations), Oncology (229 citations), Molecular Biology (317 citations) and Immunology and Allergy (26 citations). Ying-Yi Li has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Chen Liang, Hiroshi Ishikura, Naofumi Mukaida, Chifumi Fujii, Yuichiro Nagai, Boryana Konstantinova Popivanova, Takahisa Takino, Takanori Aoki, Munirah Ahmad and Hisashi Miyamori. Their work appears in journals such as International Journal of Molecular Sciences, Cancer Research, Viruses, The AAPS Journal and Journal of Surgical Research.

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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