Jiangwei Lin

513 citations
12 papers · 300 · h-index 8

Impact in

    • Pluripotent Stem Cells Research
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • Renal and related cancers
    • RNA Interference and Gene Delivery
    • Animal Genetics and Reproduction

Papers in

Jiangwei Lin

11 papers receiving 294 citations

Peers

Jiangwei Lin
Comparison fields: 5 of 58
  • Molecular Biology 242
  • Genetics 51
  • Developmental Neuroscience 7
  • Aging 3
  • Public Health, Environmental and Occupational Health 41
Replace Pierre Osteil with:
Pierre Osteil Australia
Chuan Wu China
Uwem C. Bassey United States
Lisa K. Iwamoto-Stohl United Kingdom
Lisi Sang China
Victoria L. Browning United States
Yann Tapponnier France
Carlos A. Pinzón-Arteaga United States
Chuanbo Sun China
Romana Kucerova United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Jiangwei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jiangwei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201182
2 202257
3 201144
4 202330
5 201627
6 202321
7 201617
8 20238
9 20187
10 20204
11 20173
12 20260

About Jiangwei Lin

Jiangwei Lin is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Sensory Systems, Genetics and Surgery, having authored 12 papers that have together received 300 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (5 papers), CRISPR and Genetic Engineering (5 papers), Animal Genetics and Reproduction (2 papers), Olfactory and Sensory Function Studies (2 papers), RNA Interference and Gene Delivery (2 papers), Reproductive Biology and Fertility (2 papers), Gene expression and cancer classification (1 paper) and Hepatitis B Virus Studies (1 paper). The work is most often cited by research in Molecular Biology (242 citations), Genetics (51 citations), Developmental Neuroscience (7 citations), Aging (3 citations) and Public Health, Environmental and Occupational Health (41 citations). Jiangwei Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jinsong Li, Peter Mombaerts, Shibo Jin, Lili Zhu, Fan Tang, Acong Yang, Ying Jin, Mona Khan, Xiang Li and Zhe Wei. Their work appears in journals such as Cell stem cell, Nature Genetics, Scientific Reports, Molecular Biology and Evolution and Antiviral Research.

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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