Kailang Wu

1.2k citations
20 papers · 897 indexed · 1 hit paper · h-index 14

Kailang Wu

20 papers receiving 879 citations

Hit Papers

RNA based mNGS approach identifies a novel human coronavi...3912020202620222024100200300

Peers

Kailang Wu
Comparison fields: 5 of 100
  • Infectious Diseases 304
  • Immunology 145
  • Molecular Biology 439
  • Modeling and Simulation 27
  • Biological Psychiatry 12
Replace Thiagarajan Venkataraman with:
Thiagarajan Venkataraman United States
Shuo Li China
Metodi V. Stankov Germany
Kangtai Liu China
Yukië Tanaka Japan
Patrick Schreiner United States
Arjun Rustagi United States
Wangpeng Gu China
Joseph S. Bednash United States
Yunwei Lou China
Kailang Wu relative to Thiagarajan Venkataraman United States Thiagarajan Venkataraman's profile →
Citations per field
00.5×1.5×
Thiagarajan Venkataraman · 1×
Citations per year

Countries citing papers authored by Kailang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Kailang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202410
2 202063
3 202013
4 202010
5
RNA based mNGS approach identifies a novel human coronavirus from two individual pneumonia cases in 2019 Wuhan outbreakbreakdown →
2020391
6 201959
7 201948
8 201531
9 201516
10 201431
11 201425
12 201112
13 20083
14 20071
15 200731
16 200724
17 200615
18 200543
19 200052
20 200019

About Kailang Wu

Kailang Wu is a scholar working on Aging, Virology and Hepatology, having authored 20 papers that have together received 897 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Inflammasome and immune disorders (3 papers), Hepatitis B Virus Studies (3 papers), HIV Research and Treatment (2 papers), Bacteriophages and microbial interactions (2 papers), Peptidase Inhibition and Analysis (2 papers) and Ion channel regulation and function (2 papers). The work is most often cited by research in Infectious Diseases (304 citations), Immunology (145 citations) and Molecular Biology (439 citations). Kailang Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Yingle Liu, Fang Liu, Jianguo Wu, Weiyong Liu, Yu Chen, Liangjun Chen, Zhang Qi, Ke Xu, Wei-Chen Wu and Ziyong Sun. Their work appears in journals such as Toxicon, The FASEB Journal, Biochemical and Biophysical Research Communications, Molecular Carcinogenesis and Virus Research.

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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