Meng‐I Lin

612 citations
14 papers · 517 · h-index 9

Impact in

  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Click Chemistry and Applications
    • Synthesis and Biological Evaluation

Papers in

    • RNA and protein synthesis mechanisms 3
    • Receptor Mechanisms and Signaling 2
    • Glycosylation and Glycoproteins Research 1
    • Influenza Virus Research Studies 6
    • Respiratory viral infections research 4

Meng‐I Lin

13 papers receiving 509 citations

Peers

Meng‐I Lin
Comparison fields: 5 of 76
  • Epidemiology 221
  • Organic Chemistry 152
  • Immunology 101
  • Molecular Biology 213
  • Radiology, Nuclear Medicine and Imaging 48
Replace Sean P. Gunsten with:
Sean P. Gunsten United States
Kerstin Jahn‐Hofmann Germany
Origène Nyanguile United States
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Renata Grzywa Poland
Gabriel Siracusano Italy
Yechezkel Barenholz Israel
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В. Л. Андронова Russia
Markus Bardua Germany
Meng‐I Lin relative to Sean P. Gunsten United States Sean P. Gunsten's profile →
Citations per field
00.5×2.9×
Sean P. Gunsten · 1×
Citations per year

Countries citing papers authored by Meng‐I Lin

Since Specialization
Citations

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

Fields of papers citing papers by Meng‐I Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2012126
2 201095
3 201171
4 201358
5 200947
6 200439
7 200531
8 200912
9 200410
10 20078
11 20127
12 20107
13 19866
14 20120

About Meng‐I Lin

Meng‐I Lin is a scholar working on Molecular Biology, Epidemiology, Electrical and Electronic Engineering, Materials Chemistry and Organic Chemistry, having authored 14 papers that have together received 517 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (6 papers), Respiratory viral infections research (4 papers), RNA and protein synthesis mechanisms (3 papers), Receptor Mechanisms and Signaling (2 papers), Semiconductor materials and devices (2 papers), Digital Radiography and Breast Imaging (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Epidemiology (221 citations), Organic Chemistry (152 citations), Immunology (101 citations), Molecular Biology (213 citations) and Radiology, Nuclear Medicine and Imaging (48 citations). Meng‐I Lin has collaborated with scholars based in Taiwan, United Kingdom and China. Frequent co-authors include Yih‐Shyun E. Cheng, Chi‐Huey Wong, Shiyun Wang, Ching‐Yao Su, Wen‐I Huang, Jim‐Min Fang, Ying‐Ta Wu, Huimin Cheng, Ke Ding and Junting Wan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Medicinal Chemistry, Fetal Diagnosis and Therapy, Electrochimica Acta and Angewandte Chemie International Edition.

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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