Shuli Xia

3.9k citations
66 papers · 2.6k indexed · h-index 29
  • Genetics top 2%
    • Glioma Diagnosis and Treatment 10
    • MicroRNA in disease regulation 6
    • Epigenetics and DNA Methylation 15
    • Kruppel-like factors research 9
    • Cancer-related gene regulation 8
    • Cell death mechanisms and regulation 5
  • Hepatology top 5%
    • Liver physiology and pathology 9
  • Oncology top 5%
    • Cancer Cells and Metastasis 8

Shuli Xia

65 papers receiving 2.6k citations

Peers

Shuli Xia
Comparison fields: 5 of 108
  • Genetics 424
  • Cancer Research 497
  • Molecular Biology 1.7k
  • Hepatology 149
  • Oncology 496
Replace Eckhard Lammert with:
Eckhard Lammert Germany
Shahriar Koochekpour United States
John F. Reilly United States
Julie Guillermet‐Guibert France
Ainara Egia United States
Robert M.W. de Waal Netherlands
Mingyao Ying United States
Masayoshi Uehata Japan
Laurens A. van Meeteren Netherlands
Andrew L. Markhard United States
Shuli Xia relative to Eckhard Lammert Germany Eckhard Lammert's profile →
Citations per field
00.5×1.5×2.3×
Eckhard Lammert · 1×
Citations per year

Countries citing papers authored by Shuli Xia

Since Specialization
Citations

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

Fields of papers citing papers by Shuli Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20231
3 202116
4 20214
5 202114
6 202112
7 202139
8 202029
9 201960
10
MeDReaders: a database for transcription factors that bind to methylated DNA
20181
11 2018111
12 201628
13 20165
14 201444
15 201217
16 201111
17 201043
18 200919
19 200810
20
A new assay system for the cell growth promoting effects of insulin and growth factors
19951

About Shuli Xia

Shuli Xia is a scholar working on Hepatology, Genetics, Cancer Research, Molecular Biology and Oncology, having authored 66 papers that have together received 2.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (15 papers), Glioma Diagnosis and Treatment (10 papers), Liver physiology and pathology (9 papers), Kruppel-like factors research (9 papers), Cancer Cells and Metastasis (8 papers), Cancer-related gene regulation (8 papers), MicroRNA in disease regulation (6 papers) and Cell death mechanisms and regulation (5 papers). The work is most often cited by research in Genetics (424 citations), Cancer Research (497 citations), Molecular Biology (1.7k citations), Hepatology (149 citations) and Oncology (496 citations). Shuli Xia has collaborated with scholars based in United States, China and Germany. Frequent co-authors include John Laterra, Bachchu Lal, Mingyao Ying, C. Rory Goodwin, Yingying Sang, Jiang Qian, Steven M. Rothman, Shan Yu, Ling Wei and Ai Xiao. Their work appears in journals such as Cancer Research, Molecular Cancer Research, Cancer Letters, BMC Cancer and Oncogene.

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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