Weida Li

2.0k citations
59 papers · 1.6k · h-index 24

Impact in

  • Aging top 2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Seaweed-derived Bioactive Compounds

Papers in

    • Pancreatic function and diabetes 16
    • Genetics and Neurodevelopmental Disorders 5
    • Diabetes and associated disorders 4

Weida Li

56 papers receiving 1.6k citations

Peers

Weida Li
Comparison fields: 5 of 133
  • Aging 115
  • Aquatic Science 177
  • Surgery 373
  • Endocrinology, Diabetes and Metabolism 139
  • Cell Biology 145
Replace Gilles Carpentier with:
Gilles Carpentier France
Takanori Nishimura Japan
Ruilin Zhang China
Yang Song China
Chang Tong China
Linlin Guo China
Young Hyun Jung South Korea
Huang-Tian Yang China
Liqiang Zhang China
Hanhan Liu China
Weida Li relative to Gilles Carpentier France Gilles Carpentier's profile →
Citations per field
00.5×2×4×6×7.2×
Gilles Carpentier · 1×
Citations per year

Countries citing papers authored by Weida Li

Since Specialization
Citations

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

Fields of papers citing papers by Weida Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014122
2 2010103
3 201499
4 201194
5 201888
6 202178
7 202169
8 201966
9 201758
10 200955
11 201753
12 200951
13 201850
14 200849
15 201848
16 202141
17 202138
18 202138
19 201836
20 201631

About Weida Li

Weida Li is a scholar working on Surgery, Genetics, Cell Biology, Aquatic Science and Molecular Biology, having authored 59 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (16 papers), Pluripotent Stem Cells Research (6 papers), Genetics and Neurodevelopmental Disorders (5 papers), Diabetes and associated disorders (4 papers), Carbon Dioxide Capture Technologies (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Seaweed-derived Bioactive Compounds (4 papers). The work is most often cited by research in Aging (115 citations), Aquatic Science (177 citations), Surgery (373 citations), Endocrinology, Diabetes and Metabolism (139 citations) and Cell Biology (145 citations). Weida Li has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Qiao Zhou, Xiaochen Wang, Huimin Qi, Jian Du, Yu Zhuang, Mio Nakanishi, Dongfeng Zhao, Adrian Zumsteg, Douglas A. Melton and Christopher V.E. Wright. Their work appears in journals such as Journal of Cleaner Production, Cell Death and Differentiation, Energy Conversion and Management, Advanced Science and Cell 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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