Kailang Wu

1.2k citations
20 papers · 897 indexed · 1 hit paper · h-index 14
Topics
RNA Interference and Gene Delivery (4 papers)Cancer, Hypoxia, and Metabolism (3 papers)Inflammasome and immune disorders (3 papers)

In The Last Decade

Kailang Wu

20 papers receiving 879 citations

Hit Papers

RNA based mNGS approach identifies a novel human coronavi...20202026202220242020100200300

Peers

Kailang Wu
Comparison fields: 5 of 100
  • Molecular Biology 439
  • Infectious Diseases 304
  • Immunology 145
  • Epidemiology 128
  • Genetics 99
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
00.5×1.5×1.8×
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 of co-authors of Kailang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Kailang Wu. A scholar is included among the top collaborators of Kailang Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kailang Wu. Kailang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 10
2 63
3 13
4 10
5
RNA based mNGS approach identifies a novel human coronavirus from two individual pneumonia cases in 2019 Wuhan outbreakbreakdown →
391
6 59
7 48
8 31
9 16
10 31
11 25
12 12
13 3
14 1
15 31
16 24
17 15
18 43
19 52
20 19

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) and Inflammasome and immune disorders (3 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 The FASEB Journal, Biochemical and Biophysical Research Communications and International Journal of Cancer.

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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