Lin Wei

2.3k citations
55 papers · 1.3k · h-index 18

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Circular RNAs in diseases
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing

Papers in

    • RNA modifications and cancer 5
    • Epigenetics and DNA Methylation 4
    • Bioinformatics and Genomic Networks 4
    • Circular RNAs in diseases 3
    • MicroRNA in disease regulation 4

Lin Wei

52 papers receiving 1.2k citations

Peers

Lin Wei
Comparison fields: 5 of 114
  • Cancer Research 425
  • Molecular Biology 766
  • Hepatology 55
  • Biomaterials 85
  • Software 23
Replace Merrill Knapp with:
Merrill Knapp United States
Guanghui Li China
Arikketh Devi India
Weijun Su China
Mohammad H. Rashid United States
Run Shi China
Cheng Ji China
Yun Peng China
Simona Ruggieri Italy
Lin Wei relative to Merrill Knapp United States Merrill Knapp's profile →
Citations per field
00.5×
Merrill Knapp · 1×
Citations per year

Countries citing papers authored by Lin Wei

Since Specialization
Citations

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

Fields of papers citing papers by Lin Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017156
2 2018152
3 2011103
4 202093
5 201585
6 201069
7 201766
8 201440
9 201939
10 201433
11 200723
12 201121
13 200820
14 200920
15 201120
16 202018
17 202118
18 202317
19 202217
20 200216

About Lin Wei

Lin Wei is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 55 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), MicroRNA in disease regulation (4 papers), Epigenetics and DNA Methylation (4 papers), Bioinformatics and Genomic Networks (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Software Engineering Research (3 papers), Circular RNAs in diseases (3 papers) and Bone Tissue Engineering Materials (3 papers). The work is most often cited by research in Cancer Research (425 citations), Molecular Biology (766 citations), Hepatology (55 citations), Biomaterials (85 citations) and Software (23 citations). Lin Wei has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jianren Gu, Yuan Ji, Wenxin Qin, Shengjie Yang, Yitan Zhu, Xianghuo He, Yanxun Xu, Zhilin Jin, Ming Yao and Haojie Jin. Their work appears in journals such as Cell Death and Disease, Hepatology, PLoS ONE, Scientific Reports and Infection and Drug Resistance.

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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