Haiying Wang

46 total papers · 521 total citations
34 papers, 375 citations indexed

About

Haiying Wang is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Haiying Wang has authored 34 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Infectious Diseases, 14 papers in Virology and 12 papers in Epidemiology. Recurrent topics in Haiying Wang's work include HIV Research and Treatment (13 papers), Hepatitis C virus research (7 papers) and Hepatitis B Virus Studies (6 papers). Haiying Wang is often cited by papers focused on HIV Research and Treatment (13 papers), Hepatitis C virus research (7 papers) and Hepatitis B Virus Studies (6 papers). Haiying Wang collaborates with scholars based in China, Ghana and United States. Haiying Wang's co-authors include Shixing Tang, Emmanuel Enoch Dzakah, Zhengwei Wan, Yuanhao Liang, Jianhui Zhao, Farooq Rashid, Muhammad Suleman, Abdullah Shah, Guifang Hu and Xiufen Li and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Stroke.

In The Last Decade

Haiying Wang

34 papers receiving 370 citations

Author Peers

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

Author Last Decade Papers Cites
Haiying Wang 194 101 100 91 54 34 375
Jalal Nourlil 210 1.1× 42 0.4× 102 1.0× 115 1.3× 12 0.2× 22 403
Catherine Manin 74 0.4× 184 1.8× 117 1.2× 41 0.5× 47 0.9× 25 410
Jennifer Giandhari 287 1.5× 106 1.0× 71 0.7× 120 1.3× 17 0.3× 29 434
Ted E. Schutzbank 104 0.5× 176 1.7× 138 1.4× 66 0.7× 26 0.5× 26 422
Nadine Lübke 304 1.6× 66 0.7× 112 1.1× 104 1.1× 25 0.5× 46 428
Chenguang Shen 95 0.5× 177 1.8× 99 1.0× 59 0.6× 94 1.7× 43 415
Mariateresa de Cesare 110 0.6× 171 1.7× 118 1.2× 45 0.5× 11 0.2× 20 438
Jianru Qin 231 1.2× 81 0.8× 140 1.4× 64 0.7× 49 0.9× 24 393
Roland Remenyi 83 0.4× 156 1.5× 64 0.6× 40 0.4× 45 0.8× 16 341
Gabriel Defang 127 0.7× 96 1.0× 190 1.9× 40 0.4× 66 1.2× 19 398

Countries citing papers authored by Haiying Wang

Since Specialization
Citations

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

Fields of papers citing papers by Haiying Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiying Wang

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