Dawei Lin

788 citations
41 papers · 602 · h-index 11

Impact in

    • Cancer-related Molecular Pathways
    • Protein Structure and Dynamics
    • Epigenetics and DNA Methylation
    • Microbial Metabolic Engineering and Bioproduction

Papers in

Dawei Lin

32 papers receiving 595 citations

Peers

Dawei Lin
Comparison fields: 5 of 70
  • Oncology 123
  • Molecular Biology 273
  • Biochemistry 21
  • Cancer Research 42
  • Computational Theory and Mathematics 51
Replace Cristina Sensi with:
Cristina Sensi Italy
Shengchen Lin United States
Bettina Gürtl Austria
Erik H. van Beers Netherlands
Rami Sukarieh Canada
Francesco Piacente Italy
Annette Christensen Denmark
Ruobing Ren China
Penghui Lin United States
Marina Marani Italy
Dawei Lin relative to Cristina Sensi Italy Cristina Sensi's profile →
Citations per field
00.5×2×3×4×4.9×
Cristina Sensi · 1×
Citations per year

Countries citing papers authored by Dawei Lin

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013192
2 2021116
3 201344
4 202137
5 201232
6 200831
7 202227
8 202117
9 201916
10 202312
11 202111
12 20239
13 20217
14
Computational identification of a transiently open L1/S3 pocket for reactivation of mutant p53 - eScholarship
20136
15 20216
16 20195
17 20215
18 20245
19 20214
20 20083

About Dawei Lin

Dawei Lin is a scholar working on Cardiology and Cardiovascular Medicine, Oncology, Physiology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 41 papers that have together received 602 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (8 papers), Cancer-related Molecular Pathways (5 papers), Pulmonary Hypertension Research and Treatments (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), Cardiovascular and Diving-Related Complications (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Reproductive biology and impacts on aquatic species (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Oncology (123 citations), Molecular Biology (273 citations), Biochemistry (21 citations), Cancer Research (42 citations) and Computational Theory and Mathematics (51 citations). Dawei Lin has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Peter Kaiser, Roberta Baronio, Chiung-Kuang Chen, Hartmut Luecke, A. Richard Chamberlin, G. Wesley Hatfield, Richard H. Lathrop, Linda Hall, Özlem Demir and Rommie E. Amaro. Their work appears in journals such as BMC Cardiovascular Disorders, BioScience Trends, Journal of Biological Chemistry, Nature Communications and Cell Biochemistry and Biophysics.

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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