Liting Wu

906 citations
42 papers · 651 · h-index 16

Impact in

  • Immunology top 10%
    • Aquaculture disease management and microbiota
    • Invertebrate Immune Response Mechanisms
    • Complement system in diseases
    • Immune Cell Function and Interaction
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Liting Wu

35 papers receiving 641 citations

Peers

Liting Wu
Comparison fields: 5 of 77
  • Immunology 249
  • Cancer Research 124
  • Aquatic Science 34
  • Endocrinology 20
  • Molecular Biology 256
Replace Baozhen Sun with:
Baozhen Sun China
Caroline E. Chwieralski Germany
Hao Fang China
Zhigang Wang China
Tieu‐Lan Chau Belgium
Lingyun Lin China
Jill M. Marinis United States
Živa Frangež Switzerland
Liting Wu relative to Baozhen Sun China Baozhen Sun's profile →
Citations per field
00.5×1.5×1.8×
Baozhen Sun · 1×
Citations per year

Countries citing papers authored by Liting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Liting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201786
2 201852
3 201952
4 201250
5 201841
6 202033
7 202032
8 202131
9 202125
10 202224
11 202024
12 201823
13 201621
14 201620
15 202019
16 201716
17 202312
18 201912
19 202411
20 202210

About Liting Wu

Liting Wu is a scholar working on Molecular Biology, Immunology, Cancer Research, Plant Science and Ecology, Evolution, Behavior and Systematics, having authored 42 papers that have together received 651 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (6 papers), Cancer-related molecular mechanisms research (5 papers), Fungal Plant Pathogen Control (5 papers), Plant Disease Resistance and Genetics (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Atrial Fibrillation Management and Outcomes (3 papers), MicroRNA in disease regulation (3 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Immunology (249 citations), Cancer Research (124 citations), Aquatic Science (34 citations), Endocrinology (20 citations) and Molecular Biology (256 citations). Liting Wu has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Jianmin Ye, Xiaoxue Yin, Xia Bian, Liangliang Mu, Jing Liu, Yuhong Wang, Yingchao Fan, Jingwei Cai, Bingxi Li and Li‐Min Huang. Their work appears in journals such as Fish & Shellfish Immunology, European Journal of Plant Pathology, Cardiovascular Therapeutics, Frontiers in Immunology and Journal of Clinical Laboratory Analysis.

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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