Sheng Liu

2.4k citations
65 papers · 1.5k indexed · h-index 22
Topics
Cancer Cells and Metastasis (9 papers)Epigenetics and DNA Methylation (7 papers)Immune cells in cancer (6 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Sheng Liu

63 papers receiving 1.5k citations

Peers

Sheng Liu
Comparison fields: 5 of 114
  • Molecular Biology 759
  • Oncology 343
  • Cancer Research 271
  • Immunology 206
  • Pulmonary and Respiratory Medicine 175
Replace Yun Zhou with:
Yun Zhou China
Liang Chu China
Lin Shi China
Sang‐Yeob Kim South Korea
Aaron Goldman United States
Xiongjun Wang China
Renata Jaskula‐Sztul United States
Jiani Yang China
Sufang Zhou China
Sheng Liu relative to Yun Zhou China Yun Zhou's profile →
Citations per field
00.5×
Yun Zhou · 1×
Citations per year

Countries citing papers authored by Sheng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Sheng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheng Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Sheng Liu. A scholar is included among the top collaborators of Sheng Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sheng Liu. Sheng Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 3
3 2
4 2
5 1
6 35
7 5
8 78
9 1
10 28
11 56
12 97
13 28
14 38
15
Precise targeting of POLR2A as a therapeutic strategy for human triple negative breast cancer
1
16 122
17 38
18
Neutralizing negative epigenetic regulation by HDAC5 enhances human haematopoietic stem cell homing and engraftment
1
19 2
20
Reliability test and failure analysis of high power LED packages
6

About Sheng Liu

Sheng Liu is a scholar working on Oncology, Cancer Research and Molecular Biology, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), Epigenetics and DNA Methylation (7 papers) and Immune cells in cancer (6 papers). The work is most often cited by research in Cancer Research (271 citations), Oncology (343 citations) and Molecular Biology (759 citations). Sheng Liu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jun Wan, Yunlong Liu, Xiongbin Lu, Kevin Van der Jeught, Yujing Li, Xiaoming He, Anna Maria Storniolo, Jiang Qian, Guoqing Liao and George E. Sandusky. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

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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