Tao Han

111 total papers · 4.6k total citations
71 papers, 1.7k citations indexed

About

Tao Han is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Tao Han has authored 71 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 12 papers in Immunology and 9 papers in Epidemiology. Recurrent topics in Tao Han's work include Gene expression and cancer classification (8 papers), Liver Disease Diagnosis and Treatment (6 papers) and Immune Cell Function and Interaction (5 papers). Tao Han is often cited by papers focused on Gene expression and cancer classification (8 papers), Liver Disease Diagnosis and Treatment (6 papers) and Immune Cell Function and Interaction (5 papers). Tao Han collaborates with scholars based in United States, China and South Korea. Tao Han's co-authors include James C. Fuscoe, John L. Pauly, Weida Tong, Igor P. Pogribny, Volodymyr Tryndyak, Leming Shi, Carrie L. Moland, Hailiang Huang, Varsha G. Desai and Felix W. Frueh and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Tao Han

69 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Tao Han 888 204 201 196 149 71 1.7k
Yao Zhang 683 0.8× 184 0.9× 216 1.1× 168 0.9× 104 0.7× 105 1.4k
Orestes Tsolas 677 0.8× 138 0.7× 134 0.7× 156 0.8× 141 0.9× 66 1.6k
Kun Yu 651 0.7× 212 1.0× 261 1.3× 246 1.3× 197 1.3× 86 2.1k
Yuji Zhang 1.1k 1.3× 273 1.3× 241 1.2× 197 1.0× 193 1.3× 117 2.1k
Jihong Yang 1.2k 1.3× 237 1.2× 124 0.6× 170 0.9× 215 1.4× 100 2.2k
Frank Staedtler 782 0.9× 288 1.4× 114 0.6× 188 1.0× 173 1.2× 49 1.6k
Noor Ahmad Shaik 888 1.0× 238 1.2× 277 1.4× 198 1.0× 143 1.0× 109 1.7k
Susumu Muto 885 1.0× 347 1.7× 163 0.8× 297 1.5× 185 1.2× 55 1.9k
Li Zhao 706 0.8× 169 0.8× 108 0.5× 168 0.9× 110 0.7× 109 1.7k
Martina Kutmon 1.4k 1.6× 322 1.6× 218 1.1× 186 0.9× 135 0.9× 52 2.1k

Countries citing papers authored by Tao Han

Since Specialization
Citations

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

Fields of papers citing papers by Tao Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Han

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