Lan Liao

8.0k citations
129 papers · 6.3k · h-index 47

Impact in

Papers in

    • Epigenetics and DNA Methylation 10
    • Protein Kinase Regulation and GTPase Signaling 6
    • Estrogen and related hormone effects 28

Lan Liao

123 papers receiving 6.2k citations

Peers

Lan Liao
Comparison fields: 5 of 141
  • Genetics 1.4k
  • Cancer Research 603
  • Molecular Biology 2.9k
  • Oncology 986
  • Immunology and Allergy 192
Replace Seong‐Jin Kim with:
Seong‐Jin Kim South Korea
Pierre Leroy France
Hyun‐Jung Kim South Korea
Swadesh K. Das United States
Jian Luo China
Yunjin Jung South Korea
Man‐Sau Wong Hong Kong
Claudio Arra Italy
Ryuzo Sasaki Japan
Do Sik Min South Korea
Lan Liao relative to Seong‐Jin Kim South Korea Seong‐Jin Kim's profile →
Citations per field
00.5×1.5×2.1×
Seong‐Jin Kim · 1×
Citations per year

Countries citing papers authored by Lan Liao

Since Specialization
Citations

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

Fields of papers citing papers by Lan Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 129 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000451
2 2010235
3 2011203
4 1992175
5 2016169
6 2008159
7 2004158
8 2014152
9 2016135
10 2009134
11 2012133
12 2001130
13 2003116
14 2018104
15 2008103
16 202099
17 200299
18 202091
19 200587
20 200586

About Lan Liao

Lan Liao is a scholar working on Molecular Biology, Genetics, Food Science, Oncology and Pulmonary and Respiratory Medicine, having authored 129 papers that have together received 6.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (28 papers), Proteins in Food Systems (11 papers), Epigenetics and DNA Methylation (10 papers), Reproductive System and Pregnancy (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Prostate Cancer Treatment and Research (6 papers), Cytokine Signaling Pathways and Interactions (6 papers) and Cancer Cells and Metastasis (5 papers). The work is most often cited by research in Genetics (1.4k citations), Cancer Research (603 citations), Molecular Biology (2.9k citations), Oncology (986 citations) and Immunology and Allergy (192 citations). Lan Liao has collaborated with scholars based in China, United States and France. Frequent co-authors include Jianming Xu, Bert W. O’Malley, William Durante, Hiromi Yoshida‐Komiya, Li Qin, Susan Jaken, Andrew I. Schafer, Tao He, Shao-Qing Kuang and Yuhui Yuan. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, Endocrinology, International Journal of Biological Sciences and Food Chemistry.

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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