Jian Wu

179 total papers · 3.3k total citations
105 papers, 2.1k citations indexed

About

Jian Wu is a scholar working on Infectious Diseases, Health and General Health Professions. According to data from OpenAlex, Jian Wu has authored 105 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Infectious Diseases, 20 papers in Health and 16 papers in General Health Professions. Recurrent topics in Jian Wu's work include SARS-CoV-2 and COVID-19 Research (17 papers), Vaccine Coverage and Hesitancy (15 papers) and COVID-19 epidemiological studies (12 papers). Jian Wu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (17 papers), Vaccine Coverage and Hesitancy (15 papers) and COVID-19 epidemiological studies (12 papers). Jian Wu collaborates with scholars based in China, Tanzania and United States. Jian Wu's co-authors include Clifford Silver Tarimo, Yudong Miao, Quanman Li, Cuiping Wu, Xin Zeng, Meizhu Chen, Cuiyan Tan, Yiying Huang, Jin Huang and Liyun Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Water Research and Clinical Infectious Diseases.

In The Last Decade

Jian Wu

102 papers receiving 2.1k citations

Hit Papers

Impact of coronavirus dis... 2020 2026 2022 2024 2020 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jian Wu 533 376 340 310 258 105 2.1k
Esteban Ortiz‐Prado 772 1.4× 284 0.8× 243 0.7× 263 0.8× 161 0.6× 175 2.3k
Lei Zhang 822 1.5× 510 1.4× 294 0.9× 574 1.9× 242 0.9× 70 3.0k
Kun Tang 543 1.0× 261 0.7× 154 0.5× 280 0.9× 194 0.8× 166 2.7k
Abbas Al Mutair 1.1k 2.0× 318 0.8× 244 0.7× 423 1.4× 153 0.6× 152 2.8k
Nathan Peiffer‐Smadja 1.4k 2.5× 255 0.7× 504 1.5× 166 0.5× 175 0.7× 92 2.8k
Muhammad Riaz 494 0.9× 275 0.7× 470 1.4× 342 1.1× 165 0.6× 90 2.3k
Srinivas Murthy 688 1.3× 180 0.5× 399 1.2× 278 0.9× 494 1.9× 156 3.0k
Adekunle Sanyaolu 895 1.7× 205 0.5× 313 0.9× 229 0.7× 83 0.3× 73 2.2k
Mohsen Moghadami 846 1.6× 240 0.6× 257 0.8× 162 0.5× 119 0.5× 121 2.1k
Yik Ying Teo 684 1.3× 410 1.1× 124 0.4× 303 1.0× 101 0.4× 62 2.9k

Countries citing papers authored by Jian Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jian Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Wu. A scholar is included among the top collaborators of Jian 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 Jian Wu. Jian Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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