Siting Wu

462 citations
44 papers · 299 · h-index 11

Impact in

    • Aquaculture disease management and microbiota
    • interferon and immune responses
    • Immune Cell Function and Interaction

Papers in

    • interferon and immune responses 21
    • Aquaculture disease management and microbiota 12
    • Immune Response and Inflammation 5
    • RNA Interference and Gene Delivery 5
    • Advanced biosensing and bioanalysis techniques 5

Siting Wu

39 papers receiving 298 citations

Peers

Siting Wu
Comparison fields: 5 of 63
  • Immunology 165
  • Endocrinology 20
  • Animal Science and Zoology 40
  • Aquatic Science 21
  • Infectious Diseases 38
Replace Young Rim Kim with:
Young Rim Kim South Korea
Joshua I. Gray United States
Pengfei Chu China
Emil Karlsen Norway
Lao Haihua China
Haidong Xu China
Anna A. Schönherz Denmark
Débora Torrealba Spain
Evan M. Jones United States
Megha Kadam Bedekar India
Siting Wu relative to Young Rim Kim South Korea Young Rim Kim's profile →
Citations per field
00.5×1.7×
Young Rim Kim · 1×
Citations per year

Countries citing papers authored by Siting Wu

Since Specialization
Citations

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

Fields of papers citing papers by Siting Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201935
2 201930
3 201921
4 201920
5 202017
6 201916
7 201913
8 202113
9 201913
10 202211
11 202011
12 202310
13 20209
14 20228
15 20227
16 20237
17 20207
18 20206
19 20216
20 20234

About Siting Wu

Siting Wu is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Animal Science and Zoology and Epidemiology, having authored 44 papers that have together received 299 indexed citations. Recurring topics across this work include interferon and immune responses (21 papers), Aquaculture disease management and microbiota (12 papers), Viral Infections and Vectors (9 papers), Animal Virus Infections Studies (6 papers), RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), Immune Response and Inflammation (5 papers) and Virus-based gene therapy research (5 papers). The work is most often cited by research in Immunology (165 citations), Endocrinology (20 citations), Animal Science and Zoology (40 citations), Aquatic Science (21 citations) and Infectious Diseases (38 citations). Siting Wu has collaborated with scholars based in China, Singapore and Indonesia. Frequent co-authors include Pengfei Li, Mingzhu Liu, Hehe Xiao, Qiwei Qin, Jingguang Wei, Siqiao Li, Mengshi Sun, Qing Yu, Hongfei Su and Xin Zhang. Their work appears in journals such as Fish & Shellfish Immunology, Journal of Fish Diseases, Frontiers in Immunology, Frontiers in Microbiology and Viruses.

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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