Angyi Lin

2.1k citations
41 papers · 1.9k · h-index 26

Impact in

Papers in

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

Angyi Lin

41 papers receiving 1.8k citations

Peers

Angyi Lin
Comparison fields: 5 of 104
  • Molecular Biology 1.2k
  • Endocrinology, Diabetes and Metabolism 261
  • Immunology 231
  • Genetics 313
  • Radiology, Nuclear Medicine and Imaging 166
Replace Hans Hansen with:
Hans Hansen Denmark
David W. Montgomery United States
Dario Mizrachi United States
John McClary United States
Jerzy Trojnar Sweden
Bengt G. Johansson Sweden
Christopher J. Bagley Australia
Padma Maruvada United States
Nerina Savage South Africa
Torben Særmark Denmark
Angyi Lin relative to Hans Hansen Denmark Hans Hansen's profile →
Citations per field
00.5×1.5×1.8×
Hans Hansen · 1×
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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979193
2 1987166
3 2007136
4 1982112
5 198687
6 198787
7 198277
8 197677
9 198575
10 197666
11 197763
12 198862
13 199458
14 198752
15 197450
16 200849
17 197946
18 197946
19 200145
20 200345

About Angyi Lin

Angyi Lin is a scholar working on Molecular Biology, Oncology, Genetics, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (16 papers), RNA modifications and cancer (11 papers), Estrogen and related hormone effects (6 papers), Glycosylation and Glycoproteins Research (5 papers), Bone Metabolism and Diseases (4 papers), Peptidase Inhibition and Analysis (4 papers), Hormonal and reproductive studies (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Endocrinology, Diabetes and Metabolism (261 citations), Immunology (231 citations), Genetics (313 citations) and Radiology, Nuclear Medicine and Imaging (166 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, Brigitte Wittmann‐Liebold, Oded Meyuhas, Kunio Tsurugi and Ramón González. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Molecular Sciences, Circulation Research, Biomedicines and Archives of Oral Biology.

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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