Xiaoteng Cui

1.6k citations
40 papers · 932 indexed · h-index 19

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 10%
    • Glioma Diagnosis and Treatment

Papers in

    • RNA Research and Splicing 5
    • Extracellular vesicles in disease 5
    • RNA modifications and cancer 5
    • Cancer-related molecular mechanisms research 8
    • MicroRNA in disease regulation 5

Xiaoteng Cui

38 papers receiving 931 citations

Peers

Xiaoteng Cui
Comparison fields: 5 of 85
  • Cancer Research 386
  • Genetics 142
  • Molecular Biology 611
  • Immunology 135
  • Pathology and Forensic Medicine 106
Replace Maheedhara R. Guda with:
Maheedhara R. Guda United States
Vida Vafaizadeh Germany
Kelly C. Goldsmith United States
Francesca Pedini Italy
Linda Pestano United States
Aifa Tang China
Jianxiong Ji China
Marisol González-Huarriz Spain
Catherine Frelin Canada
Anuhar Chaturvedi Germany
Xiaoteng Cui relative to Maheedhara R. Guda United States Maheedhara R. Guda's profile →
Citations per field
00.5×3.1×
Maheedhara R. Guda · 1×
Citations per year

Countries citing papers authored by Xiaoteng Cui

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoteng Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020111
2 202287
3 201952
4 202150
5 202145
6 202243
7 201842
8 202236
9 201536
10 202033
11 201632
12 202227
13 202226
14 202125
15 202225
16 202424
17 202322
18 202421
19 202021
20 201717

About Xiaoteng Cui

Xiaoteng Cui is a scholar working on Molecular Biology, Cancer Research, Immunology, Pathology and Forensic Medicine and Genetics, having authored 40 papers that have together received 932 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (11 papers), Glioma Diagnosis and Treatment (10 papers), Cancer-related molecular mechanisms research (8 papers), MicroRNA in disease regulation (5 papers), Ferroptosis and cancer prognosis (5 papers), RNA Research and Splicing (5 papers), Extracellular vesicles in disease (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cancer Research (386 citations), Genetics (142 citations), Molecular Biology (611 citations), Immunology (135 citations) and Pathology and Forensic Medicine (106 citations). Xiaoteng Cui has collaborated with scholars based in China, Canada and Montenegro. Frequent co-authors include Chunsheng Kang, Qixue Wang, Yanli Tan, Jie Yang, Chuan Fang, Xingjie Gao, Yunfei Wang, Kaikai Yi, Shixue Yang and Can Xu. Their work appears in journals such as Neuro-Oncology, Theranostics, Cell Death and Disease, Cancer Biology and Medicine and FEBS Journal.

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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