Hua Niu

54 total papers · 7.7k total citations
38 papers, 986 citations indexed

About

Hua Niu is a scholar working on Parasitology, Public Health, Environmental and Occupational Health and Infectious Diseases. According to data from OpenAlex, Hua Niu has authored 38 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Parasitology, 13 papers in Public Health, Environmental and Occupational Health and 12 papers in Infectious Diseases. Recurrent topics in Hua Niu's work include Vector-borne infectious diseases (11 papers), Mosquito-borne diseases and control (11 papers) and Viral Infections and Vectors (8 papers). Hua Niu is often cited by papers focused on Vector-borne infectious diseases (11 papers), Mosquito-borne diseases and control (11 papers) and Viral Infections and Vectors (8 papers). Hua Niu collaborates with scholars based in China, United States and Japan. Hua Niu's co-authors include Yasuko Rikihisa, Mamoru Yamaguchi, Shuyan Wu, Mingqun Lin, Rui Huang, Qingming Xiong, Akitsugu Yamamoto, Thomas Rudel, Vera Kozjak‐Pavlovic and Mitsuko Hayashi-Nishino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Hua Niu

36 papers receiving 973 citations

Author Peers

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

Author Last Decade Papers Cites
Hua Niu 336 284 227 214 186 38 986
F. Marilyn Bozeman 556 1.7× 213 0.8× 153 0.7× 330 1.5× 297 1.6× 28 1.1k
Gilles Audoly 251 0.7× 346 1.2× 102 0.4× 280 1.3× 204 1.1× 33 1.1k
Jeffrey G. Shannon 393 1.2× 230 0.8× 219 1.0× 327 1.5× 147 0.8× 19 1.0k
Juan J. Martinez 617 1.8× 225 0.8× 187 0.8× 193 0.9× 83 0.4× 25 989
Edward I. Shaw 212 0.6× 291 1.0× 130 0.6× 249 1.2× 280 1.5× 32 1.0k
James C. Coolbaugh 265 0.8× 177 0.6× 215 0.9× 186 0.9× 61 0.3× 23 806
Roy E. Barnewall 245 0.7× 434 1.5× 192 0.8× 281 1.3× 131 0.7× 27 919
Cheryl I. Murphy 173 0.5× 500 1.8× 255 1.1× 176 0.8× 99 0.5× 22 1.0k
Loïc Coutte 205 0.6× 391 1.4× 143 0.6× 257 1.2× 332 1.8× 29 1.2k
G L McLaughlin 239 0.7× 242 0.9× 76 0.3× 162 0.8× 173 0.9× 28 842

Countries citing papers authored by Hua Niu

Since Specialization
Citations

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

Fields of papers citing papers by Hua Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Niu

This figure shows the co-authorship network connecting the top 25 collaborators of Hua Niu. A scholar is included among the top collaborators of Hua Niu 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 Hua Niu. Hua Niu 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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