Gaili Wang

1.3k citations
27 papers · 771 indexed · 1 hit paper · h-index 12
Topics
Meteorological Phenomena and Simulations (13 papers)Climate variability and models (9 papers)Precipitation Measurement and Analysis (8 papers)
Partner nations
ChinaUnited StatesSweden

In The Last Decade

Gaili Wang

26 papers receiving 753 citations

Hit Papers

Real-world effectiveness of COVID-19 vaccines: a literatu...20212026202220242021100200300400

Peers

Gaili Wang
Comparison fields: 5 of 120
  • Infectious Diseases 311
  • Health 179
  • Atmospheric Science 154
  • Global and Planetary Change 142
  • Modeling and Simulation 89
Replace Anusha Sultan Meo with:
Anusha Sultan Meo Saudi Arabia
Dolores Catelan Italy
Emma K. Accorsi United States
Carl A. B. Pearson United Kingdom
Tomás M. León United States
Nicky Phillips Denmark
Xiaowei Deng China
Zhiwei Wu China
Gaili Wang relative to Anusha Sultan Meo Saudi Arabia Anusha Sultan Meo's profile →
Citations per field
00.5×10×17.1×
Anusha Sultan Meo · 1×
Citations per year

Countries citing papers authored by Gaili Wang

Since Specialization
Citations

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

Fields of papers citing papers by Gaili Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaili Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Gaili Wang. A scholar is included among the top collaborators of Gaili Wang 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 Gaili Wang. Gaili Wang 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 4
2 8
3 17
4 2
5 8
6 33
7 2
8
Real-world effectiveness of COVID-19 vaccines: a literature review and meta-analysisbreakdown →
403
9 31
10 26
11 16
12 55
13 1
14 20
15 7
16 7
17 14
18 4
19 1
20 1

About Gaili Wang

Gaili Wang is a scholar working on Atmospheric Science, Global and Planetary Change and Health, having authored 27 papers that have together received 771 indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (13 papers), Climate variability and models (9 papers) and Precipitation Measurement and Analysis (8 papers). The work is most often cited by research in Health (179 citations), Modeling and Simulation (89 citations) and Infectious Diseases (311 citations). Gaili Wang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Xiaorui Chen, Weidong Zhang, Weihao Shao, Caifang Zheng, Bowen Zhang, Chunyan Song, Wai Kin Wong, Yang Hong, Liping Liu and Liping Liu. Their work appears in journals such as Scientific Reports, Monthly Weather Review and Bulletin of the American Meteorological Society.

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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