Angyi Lin

2.1k citations
47 papers · 1.8k · h-index 26

Impact in

Papers in

    • RNA and protein synthesis mechanisms 16
    • RNA modifications and cancer 11
    • Bone Metabolism and Diseases 8
    • Glycosylation and Glycoproteins Research 5
    • Peptidase Inhibition and Analysis 4

Angyi Lin

45 papers receiving 1.7k citations

Peers

Angyi Lin
Comparison fields: 5 of 104
  • Molecular Biology 1.1k
  • Endocrinology, Diabetes and Metabolism 271
  • Genetics 322
  • Periodontics 49
  • Immunology 221
Replace William King with:
William King United States
Jerzy Trojnar Sweden
Robert G. Bennett United States
Donna M. Lehman United States
Miho Takahashi Japan
Bengt G. Johansson Sweden
John McClary United States
Christopher J. Bagley Australia
Dario Mizrachi United States
David W. Montgomery United States
Angyi Lin relative to William King United States William King's profile →
Citations per field
00.5×6.3×
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Citations per year

Countries citing papers authored by Angyi Lin

Since Specialization
Citations

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

Fields of papers citing papers by Angyi Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979185
2 1987164
3 2007133
4 1982105
5 198787
6 198685
7 198570
8 198270
9 197669
10 197663
11 198860
12 197759
13 199456
14 198750
15 197446
16 200845
17 197943
18 200142
19 200341
20 197940

About Angyi Lin

Angyi Lin is a scholar working on Molecular Biology, Oncology, Genetics, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (16 papers), RNA modifications and cancer (11 papers), Bone Metabolism and Diseases (8 papers), Estrogen and related hormone effects (6 papers), Glycosylation and Glycoproteins Research (5 papers), Inflammatory mediators and NSAID effects (5 papers), Peptidase Inhibition and Analysis (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Molecular Biology (1.1k citations), Endocrinology, Diabetes and Metabolism (271 citations), Genetics (322 citations), Periodontics (49 citations) and Immunology (221 citations). Angyi Lin has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Ira G. Wool, Sydney A. Shain, James Dayre McNally, Yuen‐Ling Chan, E. Collatz, Henry C. McGill, Oded Meyuhas, Brigitte Wittmann‐Liebold, Kunio Tsurugi and Ramón González. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Molecular Sciences, Scientific Reports, Circulation Research and Journal of Dental Sciences.

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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