Ying Han

76 total papers · 1.1k total citations
49 papers, 839 citations indexed

About

Ying Han is a scholar working on Public Health, Environmental and Occupational Health, Immunology and Molecular Biology. According to data from OpenAlex, Ying Han has authored 49 papers receiving a total of 839 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Public Health, Environmental and Occupational Health, 10 papers in Immunology and 8 papers in Molecular Biology. Recurrent topics in Ying Han's work include Reproductive Biology and Fertility (7 papers), Toxic Organic Pollutants Impact (6 papers) and Oral Health Pathology and Treatment (5 papers). Ying Han is often cited by papers focused on Reproductive Biology and Fertility (7 papers), Toxic Organic Pollutants Impact (6 papers) and Oral Health Pathology and Treatment (5 papers). Ying Han collaborates with scholars based in China, United States and Hong Kong. Ying Han's co-authors include Haining Luo, Yunshan Zhang, You Wan, Guo‐Gang Xing, Xiang-Ling Meng, Jiao Liu, Yan Li, Xing Xiao, Jun Cai and Hui Wang and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Ying Han

48 papers receiving 829 citations

Author Peers

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

Author Last Decade Papers Cites
Ying Han 235 160 122 112 101 49 839
Katarzyna Jakubowska 271 1.2× 120 0.8× 82 0.7× 61 0.5× 60 0.6× 66 948
Hüseyin Aktuğ 185 0.8× 84 0.5× 76 0.6× 77 0.7× 54 0.5× 72 727
Ning Song 241 1.0× 108 0.7× 59 0.5× 124 1.1× 110 1.1× 64 759
Hsin‐Ju Chiang 311 1.3× 69 0.4× 124 1.0× 65 0.6× 96 1.0× 48 1.0k
Yalin Zhang 224 1.0× 99 0.6× 63 0.5× 52 0.5× 129 1.3× 72 784
Xiaomei Liu 154 0.7× 70 0.4× 109 0.9× 72 0.6× 48 0.5× 43 703
Larry G. Thaete 297 1.3× 175 1.1× 154 1.3× 121 1.1× 37 0.4× 53 991
Qian Liu 294 1.3× 79 0.5× 89 0.7× 67 0.6× 54 0.5× 60 900
Elizabeth A. Hibler 144 0.6× 157 1.0× 65 0.5× 70 0.6× 111 1.1× 42 799
Andrea Borghini 306 1.3× 241 1.5× 182 1.5× 108 1.0× 30 0.3× 57 1.0k

Countries citing papers authored by Ying Han

Since Specialization
Citations

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

Fields of papers citing papers by Ying Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Han

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