Miaojun Han

2.5k total citations · 1 hit paper
10 papers, 738 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 738 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), Cancer Mechanisms and Therapy (2 papers) and Microtubule and mitosis dynamics (2 papers). Miaojun Han is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (4 papers), Cancer Mechanisms and Therapy (2 papers) and Microtubule and mitosis dynamics (2 papers). Miaojun Han collaborates with scholars based in United States, China and Germany. Miaojun Han's co-authors include Tim F. Greten, José Medina‐Echeverz, Tobias Eggert, Chi Ma, Michèle Egger, Veena Kapoor, David F. Stroncek, Angela M. Thornton, Dean W. Felsher and Mei ElGindi 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 734 citations

Hit Papers

NAFLD causes selective CD4+ T lymphocyte loss and promote... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers

Miaojun Han
Comparison fields: 5 of 66
  • Epidemiology 305
  • Molecular Biology 225
  • Immunology 190
  • Hepatology 188
  • Oncology 182
Replace Benjamin Ruf with:
Benjamin Ruf United States
Karen Man‐Fong Sze Hong Kong
Katsuhiko Fujikawa Japan
Teruyuki Ueda Japan
Qianfei Zhang United States
Nadim Aizarani Germany
Romain Donné France
Ruizhao Qi China
Chunwei W. Lai United States
Yoshiko Takata Japan
Benjamin Ruf United States View profile →
Citations per field, relative to Miaojun Han
Miaojun Han · 1×
Citations per year, relative to Miaojun Han
Miaojun Han · 1×

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

10 of 10 papers shown
# Work Indexed citations
1 1
2
NAFLD causes selective CD4+ T lymphocyte loss and promotes hepatocarcinogenesis breakdown →
569
3 32
4 22
5 28
6 23
7 17
8 12
9 10
10 24

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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