Ming–Wei Lu

728 citations
48 papers · 562 indexed · h-index 15

Impact in

  • Immunology top 10%
    • Aquaculture disease management and microbiota
    • interferon and immune responses
  • Physiology top 10%
    • Reproductive biology and impacts on aquatic species

Papers in

    • Aquaculture disease management and microbiota 16
    • interferon and immune responses 8
    • Invertebrate Immune Response Mechanisms 5

Ming–Wei Lu

44 papers receiving 549 citations

Peers

Ming–Wei Lu
Comparison fields: 5 of 96
  • Immunology 230
  • Physiology 47
  • Statistics, Probability and Uncertainty 50
  • Safety, Risk, Reliability and Quality 51
  • Software 20
Replace Umesh Singh with:
Umesh Singh India
Henryk Maciejewski Poland
Anom Bowolaksono Indonesia
Arun Kumar Singh India
Peter Wimmer Germany
Jim Parr United Kingdom
Zisheng Wang China
Jingjiao Li China
Brian D. Rutter United States
Ming–Wei Lu relative to Umesh Singh India Umesh Singh's profile →
Citations per field
00.5×7.8×
Umesh Singh · 1×
Citations per year

Countries citing papers authored by Ming–Wei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ming–Wei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming–Wei Lu. 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 Ming–Wei Lu. The network helps show where Ming–Wei Lu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201245
2 199842
3 201340
4 201538
5 200336
6 201826
7 201825
8 201520
9 200920
10 201419
11 201916
12 201316
13 202115
14 201915
15 202215
16 201014
17 200312
18 199011
19 201411
20 200211

About Ming–Wei Lu

Ming–Wei Lu is a scholar working on Immunology, Molecular Biology, Animal Science and Zoology, Genetics and Mechanics of Materials, having authored 48 papers that have together received 562 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (16 papers), interferon and immune responses (8 papers), Animal Virus Infections Studies (7 papers), Invertebrate Immune Response Mechanisms (5 papers), Bacteriophages and microbial interactions (4 papers), Reliability and Maintenance Optimization (3 papers), Reproductive biology and impacts on aquatic species (3 papers) and Fatigue and fracture mechanics (3 papers). The work is most often cited by research in Immunology (230 citations), Physiology (47 citations), Statistics, Probability and Uncertainty (50 citations), Safety, Risk, Reliability and Quality (51 citations) and Software (20 citations). Ming–Wei Lu has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Chih‐Min Chao, Wangta Liu, Pinwen Peter Chiou, Chan-Shing Lin, R. J. Rudy, Jen‐Leih Wu, Yu‐Shen Lai, Yung–Li Lee, Yu‐Cheng Lin and Yung‐Mei Chao. Their work appears in journals such as Fish & Shellfish Immunology, SAE technical papers on CD-ROM/SAE technical paper series, BMC Genomics, Optics Express and Scientific Reports.

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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