Miaojun Han

22 total papers · 2.4k total citations
10 papers, 731 citations indexed

About

Miaojun Han is a scholar working on Cell Biology, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Miaojun Han has authored 10 papers receiving a total of 731 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cell Biology, 3 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Miaojun Han's work include Hippo pathway signaling and YAP/TAZ (4 papers), Microtubule and mitosis dynamics (2 papers) and Cancer Mechanisms and Therapy (2 papers). Miaojun Han is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (4 papers), Microtubule and mitosis dynamics (2 papers) and Cancer Mechanisms and Therapy (2 papers). Miaojun Han collaborates with scholars based in United States, China and Germany. Miaojun Han's co-authors include Tim F. Greten, Tobias Eggert, José Medina‐Echeverz, Chi Ma, Aparna H. Kesarwala, Masaki Terabe, Haibo Zhang, Michèle Egger, Mathias Heikenwälder and Ji Luo and has published in prestigious journals such as Nature, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Miaojun Han

10 papers receiving 727 citations

Hit Papers

NAFLD causes selective CD... 2016 2026 2019 2022 2016 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Miaojun Han 302 225 189 187 181 10 731
Mei ElGindi 320 1.1× 193 0.9× 208 1.1× 226 1.2× 204 1.1× 15 824
Ana Teijeiro 255 0.8× 249 1.1× 276 1.5× 153 0.8× 129 0.7× 10 777
Catherine E. Willoughby 186 0.6× 217 1.0× 95 0.5× 232 1.2× 243 1.3× 8 655
Daniel Caballero‐Díaz 172 0.6× 293 1.3× 103 0.5× 207 1.1× 177 1.0× 9 692
Joaquim Moreno‐Càceres 218 0.7× 294 1.3× 88 0.5× 275 1.5× 126 0.7× 8 656
Sze Hang Lau 219 0.7× 352 1.6× 69 0.4× 157 0.8× 176 1.0× 9 695
Saadia Faouzi 174 0.6× 350 1.6× 103 0.5× 386 2.1× 238 1.3× 12 880
Heekyong Bae 189 0.6× 259 1.2× 290 1.5× 113 0.6× 147 0.8× 10 704
Katsuhiko Fujikawa 204 0.7× 630 2.8× 163 0.9× 133 0.7× 250 1.4× 20 867
Qianfei Zhang 147 0.5× 198 0.9× 315 1.7× 106 0.6× 311 1.7× 15 709

Countries citing papers authored by Miaojun Han

Since Specialization
Citations

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

Fields of papers citing papers by Miaojun Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miaojun Han

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