Weiming Lin

1.3k citations
69 papers · 971 · h-index 15

Impact in

Papers in

Weiming Lin

56 papers receiving 923 citations

Peers

Weiming Lin
Comparison fields: 5 of 142
  • General Materials Science 57
  • Civil and Structural Engineering 260
  • Immunology 99
  • Gastroenterology 25
  • Psychiatry and Mental health 61
Replace Tadashi Fujii with:
Tadashi Fujii Japan
F. David Carmona Spain
Bashar Emon United States
Ryota Iwasaki Japan
Kwang Ho Choi South Korea
Rachel Kline United States
Da Liu China
Makoto Shimada Japan
Jun Tai China
Mohammad S. Alrashdan Jordan
Weiming Lin relative to Tadashi Fujii Japan Tadashi Fujii's profile →
Citations per field
00.5×10×20×28.5×
Tadashi Fujii · 1×
Citations per year

Countries citing papers authored by Weiming Lin

Since Specialization
Citations

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

Fields of papers citing papers by Weiming Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996263
2 201991
3 201976
4 200475
5 201043
6 201539
7 201825
8 201723
9 201722
10 202220
11 201619
12 201019
13 201417
14 201616
15 201414
16 202114
17 202013
18 201710
19 201510
20 202210

About Weiming Lin

Weiming Lin is a scholar working on Molecular Biology, Epidemiology, Animal Science and Zoology, Immunology and Materials Chemistry, having authored 69 papers that have together received 971 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (6 papers), Virus-based gene therapy research (6 papers), Concrete and Cement Materials Research (4 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (4 papers), Herpesvirus Infections and Treatments (3 papers), Cancer Cells and Metastasis (3 papers), Climate Change Policy and Economics (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in General Materials Science (57 citations), Civil and Structural Engineering (260 citations), Immunology (99 citations), Gastroenterology (25 citations) and Psychiatry and Mental health (61 citations). Weiming Lin has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include T. D. Lin, Tse-Yen Yang, Hsu‐Huei Weng, Chia‐Hung Kao, Cheng‐Li Lin, Chien‐Wei Chen, Uwe Karsten, Yi Cao, Steffen Goletz and Yuan‐Hsiung Tsai. Their work appears in journals such as Medicine, ACI Materials Journal, Forests, Virology Journal and International Journal of Molecular 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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