Xiaolin Wei

430 citations
16 papers · 294 · h-index 8

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Plant Reproductive Biology
    • Circular RNAs in diseases
    • Photosynthetic Processes and Mechanisms
    • Genomics and Chromatin Dynamics

Papers in

    • Genomics and Chromatin Dynamics 3
    • RNA Research and Splicing 3
    • Photosynthetic Processes and Mechanisms 3
    • Protein Degradation and Inhibitors 2
    • Chromosomal and Genetic Variations 3
    • Plant Molecular Biology Research 2

Xiaolin Wei

15 papers receiving 293 citations

Peers

Xiaolin Wei
Comparison fields: 5 of 48
  • Cancer Research 67
  • Molecular Biology 251
  • Plant Science 111
  • Ecology, Evolution, Behavior and Systematics 34
  • Immunology 20
Replace Weili Quan with:
Weili Quan China
Erika E Kuchen Germany
Carolina Álvarez Chile
Jinfeng Chen China
Pirashaanthy Tharmapalan Canada
Jiao Wang China
Eveline Rentmeester Netherlands
Valentina Perrera Italy
Christopher M. Lee United States
Nadezda A. Fursova United Kingdom
Xiaolin Wei relative to Weili Quan China Weili Quan's profile →
Citations per field
00.5×
Weili Quan · 1×
Citations per year

Countries citing papers authored by Xiaolin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2013105
2 202244
3 202041
4 201931
5 202322
6 201612
7 201711
8 20227
9 20235
10 20205
11 20244
12 20223
13 20202
14 20241
15 20231
16 20250

About Xiaolin Wei

Xiaolin Wei is a scholar working on Molecular Biology, Plant Science, Cancer Research, Immunology and Genetics, having authored 16 papers that have together received 294 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), RNA Research and Splicing (3 papers), Cancer-related molecular mechanisms research (3 papers), Photosynthetic Processes and Mechanisms (3 papers), Chromosomal and Genetic Variations (3 papers), Plant Molecular Biology Research (2 papers), Protein Degradation and Inhibitors (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (67 citations), Molecular Biology (251 citations), Plant Science (111 citations), Ecology, Evolution, Behavior and Systematics (34 citations) and Immunology (20 citations). Xiaolin Wei has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiaowu Li, Xiangde Liu, Lihong Hao, Li‐Jia Qu, Hongya Gu, Sheng Zhong, Jingjing Liu, Qingpei Huang, Chaoyang Wang and Yingnan Hou. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Genome Medicine, Current Biology, Cell Death and Disease 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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